{ "count" : 89274, "data" : [ { "id" : "6a2a875a74d8ee00a067dff9", "title" : "Staff Engineer, Advanced Cores Design Evaluation Engineering", "company" : "Analog Devices", "industry" : "Semiconductor", "salary" : { "min" : 11.0, "max" : 11.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US, MA, Wilmington", "locations" : [ "US, MA, Wilmington", "United States of America" ], "timestamp" : "2026-06-14T21:28:49.196", "fingerprint" : "2145b3fb51a107097004fb1352da0e29ca37a08456476751ddaf3987f7e1646a", "source" : "workday", "language" : "en", "applyUrl" : "https://analogdevices.wd1.myworkdayjobs.com/External/job/US-MA-Wilmington/Staff-Engineer--Advanced-Cores-Design-Evaluation-Engineering_R262371", "externalId" : "R262371", "industryFunction" : { }, "locationPoint" : "16.84762,95.98229", "structuredLocations" : [ { "city" : "Wilmington", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5464828,-71.1736669" } ], "locationText" : "Wilmington, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, MATLAB, LabVIEW, C/C++, RF, Analog circuits, Mixed-signal systems, ADCs, DACs, SERDES, Embedded software", "professionalSkills" : [ "Product engineering", "System solutions", "Testability recommendations", "Manufacturability recommendations", "Qualification support" ], "hardSkillsList" : [ "RF testing", "Mixed-signal testing", "Performance testing", "Silicon testing", "Embedded software testing", "RF measurement", "Analog measurement", "Digital measurement", "Data analysis" ], "softSkillsList" : [ "Leadership", "Problem-solving" ], "hardSkills" : [ { "name" : "RF testing", "level" : "intermediate" }, { "name" : "Mixed-signal testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Silicon testing", "level" : "intermediate" }, { "name" : "Embedded software testing", "level" : "intermediate" }, { "name" : "RF measurement", "level" : "intermediate" }, { "name" : "Analog measurement", "level" : "intermediate" }, { "name" : "Digital measurement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Problem-solving" } ], "majorSkills" : "Converter technologies, SERDES technologies, RF testing, Mixed-signal systems", "majorSkillsList" : [ "Converter technologies", "SERDES technologies", "RF testing", "Mixed-signal systems" ], "coreResponsibilities" : "Lead evaluation of ADCs, Lead characterization of ADCs, Lead evaluation of DACs, Lead characterization of DACs, Lead evaluation of high-speed serial interfaces, Lead characterization of high-speed serial interfaces, Debug mixed-signal systems, Analyze mixed-signal systems, Debug RF systems, Analyze RF systems, Document findings, Present findings, Perform functional testing, Perform performance testing, Ensure readiness for production, Develop test solutions, Automate test solutions, Establish RF performance metrics, Establish analog performance metrics, Establish digital performance metrics, Provide testability recommendations, Provide manufacturability recommendations, Provide qualification support, Support field quality initiatives, Interface with design teams, Interface with applications teams, Interface with marketing teams, Engage with customers, Resolve product issues, Analyze measurement data, Contribute to system-level solutions", "teamCollaboration" : "Cross-functional teams; 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(NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). **Staff Design Evaluation Engineer** **About the Role** Join our industry‑leading product engineering team advancing next‑generation converter and SERDES technologies. As a Staff Engineer, you will be a key technical leader responsible for evaluating, characterizing, and validating the performance of advanced ADC, DAC, and SERDES IP. Your work will directly enable business units across ADEF, Instrumentation, Communications, and Data Center systems to design cutting‑edge modules and system solutions. This role demands deep technical expertise, hands‑on lab proficiency, and close collaboration with design, test, applications, and marketing teams to ensure robust, high‑performance products. **Key Responsibilities** * Lead evaluation and characterization of ADCs, DACs, and high-speed serial interfaces for cutting-edge transceiver products. * Debug and analyze complex mixed-signal and RF systems across all operating conditions; document and present findings to design and cross-functional teams. * Perform functional and performance testing of new silicon and embedded software, ensuring readiness for production release. * Develop and automate test solutions using Python, MATLAB, LabVIEW, and other programming tools for RF and mixed-signal verification. * Utilize precision measurement equipment (network analyzers, spectrum analyzers, oscilloscopes, signal generators) to establish RF, analog, and digital performance metrics. * Provide recommendations on testability, manufacturability, and qualification readiness; support field quality initiatives. * Interface as a central resource with design, applications, and marketing teams; engage directly with customers to resolve product issues. * Analyze measurement data and contribute to system-level solutions for transceiver products. **Minimum Qualifications** * BS or MS in Electrical Engineering or related field, with **5 + years of industry experience** in RF/mixed-signal product engineering. * Proven expertise in automating RF tests and working with advanced lab equipment (network analyzers, spectrum analyzers, signal generators, oscilloscopes). * Strong programming and debug skills in Python, MATLAB, LabVIEW, and familiarity with C/C++ or similar languages. * Deep knowledge of analog and RF circuits, high-speed serial interfaces, ADCs/DACs, and mixed-signal systems. * Strong analytical and problem-solving skills; ability to manage multiple priorities in a fast-paced environment. * Excellent communication skills and ability to work effectively in multi-disciplinary, global teams. **Why You’ll Love Working at ADI** At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. Your expertise will shape the future of technology, and you’ll be supported by a culture that values continuous advancement and professional growth. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect. #LI-PG1 _For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process._ _Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group._ _EEO is the Law:[Notice of Applicant Rights Under the Law](https://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf)._ Job Req Type: Experienced Required Travel: No Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $131,285 to $190,108. * Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. * This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. * This position includes medical, vision and dental coverage, 401k, paid vacation, **holidays, and sick time** , and other benefits.", "summaryDescription" : "Staff Engineer, Advanced Cores Design Evaluation Engineering at Analog Devices. Skills: Converter technologies, SERDES technologies, RF testing, Mixed-signal systems. Lead evaluation of ADCs. 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Collaborative environment; NASA civil servants; Contractors", "projectManagementSkills" : [ "Organize tasks", "Prioritize tasks", "Meet deadlines", "Meet schedules" ], "domainKnowledge" : "Human space exploration; Orbital mechanics; Spacecraft trajectories; Deep space exploration; Artemis missions; 3-DOF spacecraft simulations", "domainList" : [ "human-space-exploration", "orbital-mechanics", "spacecraft-trajectories", "deep-space-exploration", "artemis-missions", "3-dof-spacecraft-simulations" ], "domainSpecificKnowledge" : [ "Human space exploration", "Orbital mechanics", "Spacecraft trajectories", "Deep space exploration", "Artemis missions", "3-DOF spacecraft simulations" ], "toolProficiency" : [ "Copernicus", "Microsoft Office", "Conda", "Mamba", "OpenSceneGraph", "OpenGL", "OpenFrames", "Qt", "Git", "GitLab", "GitlabCI" ], "communicationSkills" : "Excellent communication skills; Prepare written documents; Verbally present", "documentationSkills" : "Requirements documentation", "innovationCreativity" : "Creative ideas", "problemSolvingSkills" : "Trajectory optimization; Algorithm development; Simulation models", "specialRequirements" : "Proof of U.S. Citizenship, US Permanent Residency, Complete U.S. government background investigation, Office environment, Inside or outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Regular attendance, Work outside normal schedule, Adjust schedule, Professional behavior, Grooming and dress appropriate", "qualificationsBasic" : "Bachelor's degree in Engineering, 2-5 years of experience, Experience with orbital mechanics, Designing spacecraft trajectories, Experience with algorithm development, Analyzing spacecraft performance, Developing simulation models, Verifying simulation models, Validating simulation models, Excellent communication skills, Experience in a team environment, Interpersonal skills, Ability to organize tasks, Ability to prioritize tasks, Ability to prepare written documents, Ability to verbally present, Experience with Microsoft Office", "qualificationsPreferred" : "5 years of related engineering experience, Master's degree and 4 years experience, PhD and 0 years experience, PhD in Aerospace Engineering, Focus on trajectory design, Focus on optimization, Focus on orbital mechanics, Experience with 3-DOF simulations, Proficiency in Modern Fortran, Proficiency in Python, Proficiency in C++, Proficiency in bash, Proficiency in Julia, Experience with conda/mamba, Experience with OpenSceneGraph, Experience with OpenGL, Experience with OpenFrames, Experience with GUI development, Experience with Python and Qt, Experience with multiple operating systems, Experience with product delivery, Experience with product management, Experience with Git/GitLab, Experience with GitlabCI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Advanced Mission Design Engineer to join the team with Intuitive Machines, a teammate company. This position is on the JETS Advanced Mission Design Team providing mission analysis and design across the Orion and commercial crew programs. The Advanced Mission Design Engineer will: Provide trajectory products supporting spacecraft mission design & analysis for advanced Orion crewed missions such as Artemis I-III and related missions. Perform trajectory optimization runs to characterize vehicle performance and mission availability for a variety of scenarios. Develop, integrate, and test new algorithms for evaluation of vehicle and mission performance. Provide software development and scripting of NASA's Copernicus trajectory optimization tool and related applications. Integrate Copernicus with other trajectory software and tools. Develop requirements documentation for mission design products. Provide recommendations for improvements in design and software development processes. Perform other duties as required. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor’s degree in Engineering and a minimum of 2-5 years of experience in the field or in a related area. Experience with orbital mechanics and designing spacecraft trajectories. Experience with development of spacecraft mission design algorithms and analyzing spacecraft performance. Experience developing, verifying, and validating simulation models. Excellent communication skills Experience working in a team environment consisting of NASA civil servants and contractors. Strong interpersonal skills to enable successful performance in a collaborative environment. Ability to organize and prioritize tasks to meet deadlines and schedules with limited supervision. Ability to prepare written documents and to verbally present at meetings. Experience with Microsoft Office products. Requisition Preferences: A bachelor's degree in engineering from an ABET accredited engineering school with five (5) years of related engineering experience, a master's degree from an accredited engineering school and four (4) years of related engineering experience, or a Ph.D. from an accredited engineering school and zero (0) years of related experience. PhD in Aerospace Engineering with a focus on trajectory design, optimization, and orbital mechanics Experience with 3-DOF spacecraft simulations Proficiency in software development using programming languages such as Modern Fortran, Python, C++, bash, and Julia. Experience with Python package management systems such as conda/mamba Experience with 3D graphics libraries such as OpenSceneGraph, OpenGL, and OpenFrames. Experience with GUI development in Python and Qt Experience with multiple operating systems such as Windows, macOS Linux Experience with product delivery and management Experience with source code management tools such as Git/GitLab and continuous integration systems such as GitlabCI Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Advanced Mission Design Engineer at Intuitive Machines. Skills: Mission design, Trajectory optimization, Spacecraft trajectories, Software development. Provide trajectory products. 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Troubleshooting", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience, Master's degree in Computer Science, 2+ years of experience, Experience with different Operating Systems, Scripting and/or programming languages, AI Infrastructure & Hardware Awareness, Experience in Performance & Benchmarking, Debugging knowledge on performance bottlenecks, Experience in deriving data movement costs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The ideal candidate will be responsible for designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. This role requires a strong understanding of AI workloads, system architectures, and performance characterization methodologies across modern AI infrastructure environments. The individual will work closely with Marketing, Product Management and System Architecture teams to understand benchmark requirements and translate business and customer use cases into measurable performance validation strategies. The candidate will develop benchmark proposals, define evaluation methodologies, and execute performance studies for a wide range of AI applications, including Chat Assistants and LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, and Image/Video Generation workloads. Responsibilities include selecting and optimizing benchmark frameworks, configuring AI software stacks, validating hardware and software performance, analyzing bottlenecks across compute, memory, storage, and networking subsystems, and generating detailed performance reports with actionable insights. The candidate will evaluate AI workloads across different hardware configurations such as GPUs, CPUs, accelerators, high-speed interconnects, NVLink/NVSwitch fabrics, storage architectures, and network fabrics to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. The role also involves collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies, while ensuring reproducibility, automation, and continuous benchmarking capabilities within AI lab environments. Strong analytical, scripting, and performance tuning skills are essential, along with hands-on experience in AI frameworks, GPU computing, distributed inference environments, and performance monitoring tools. Essential Duties and Responsibilities: •Design & Validate AI Infrastructure for Benchmarks •Analysis of Benchmarks for End-to-end AI Infrastructure and develop test environment for Benchmark tests •Define and Perform Benchmark tests for AI workloads on storage systems •Evaluate GPU vs CPU vs storage bottlenecks in AI pipelines •Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models •Design Benchmarks for Vector DB & KV cache •Optimize Data pipelines for Inference and training •Analyze Benchmark results, document and publish with recommendations Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure. Work with cross-functional teams for POC and architecture discussions for validation infrastructure. ## Qualifications Required: * Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience. Skills : * Experience with different Operating Systems (Windows, Linux, VMware). * Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required. * AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics * Experience in Performance & Benchmarking – profiling tools, system bottlenecks * Debugging knowledge on performance bottlenecks in AI pipelines * Experience in deriving data movement costs on Edge platforms ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 08/12/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Staff Engineer, system design engineering at Sandisk. Skills: AI infrastructure, Benchmark tests, Performance validation, LLM inference. Design benchmark tests. Define benchmark tests", "postedDate" : "2026-06-12T21:43:14.000", "createdAt" : "2026-06-14T07:52:12.885", "lastUpdated" : "2026-06-15T08:34:37.450", "ingestTimestamp" : "2026-06-14T07:52:12.885", "mongoId" : "6a2d6c5874d8ee00a0bdce12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 315000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Performance tuning", "Data movement costs", "AI infrastructure", "Benchmark tests", "Performance validation", "LLM inference", "System design", "Performance characterization", "Validation strategies", "Scalability", "Latency", "Throughput", "Power efficiency", "Cost-performance metrics", "AI workloads", "Retrieval-Augmented Generation", "Speech AI", "Vision AI", "Multimodal AI", "Recommendation systems", "Image Generation", "Video Generation", "Vector DB", "KV cache", "Edge platforms", "Profiling tools", "Performance monitoring tools" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051a1f292fd229cf03979", "title" : "Staff Photonics Design Engineer", "company" : "Lightmatter", "salary" : { "min" : 154000.0, "max" : 171000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston", "MA", "Mountain View", "CA", "Toronto", "ON" ], "timestamp" : "2026-06-16T06:47:44.497", "fingerprint" : "81fb16691c1f916e6e0ba4135257a2098ad6b5803e2ee5a0b1edffef3f5c457e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/lightmatter/jobs/5254962008?gh_jid=5254962008", "externalId" : "5254962008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "remoteFriendly" : true, "rawDescription" : "Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! About this Role What makes this opportunity so attractive to a candidate? (tailor to the role) Why join the team? (use keyword but avoid acronyms and abbreviations) How do you sell this job in your job? How does it impact the business? Responsibilities *Place responsibilities of the role here (present tense and conversational* Deliver… Responsible for …. Create and maintain … Support… Manage… Qualifications *Place requirements of the role here (present tense and conversational). Minimum qualifications are those an applicant must possess to be considered a candidate for the position. Preferred Qualifications In addition to the main qualifications - Not required for an applicant to be considered a candidate for the position. They are desired qualifications above and beyond the minimums that demonstrate additional experience, education, or credentials. They are seen as “nice to have” qualities that will lead to a higher level of success for the applicant during the interview and consequently performing the job if the person is hired. We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $154,000—$171,000 CAD Benefits Comprehensive Health Care Plan (Medical, Dental & Vision) Retirement Savings Matching Program Life Insurance (Basic, Voluntary & AD&D) Generous Time Off (Vacation, Sick & Public Holidays) Paid Family Leave Short Term & Long Term Disability Training & Development Commuter Benefits Flexible, hybrid workplace model Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U. S. export control laws.", "summaryDescription" : "Staff Photonics Design Engineer at Lightmatter", "postedDate" : "2026-06-15T23:20:30.691", "createdAt" : "2026-06-15T23:20:30.691", "lastUpdated" : "2026-06-16T06:47:44.497", "ingestTimestamp" : "2026-06-15T23:20:30.691", "mongoId" : "6a3051a1f292fd229cf03979", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ea02b74d8ee00a0e407cf", "title" : "Staff Engineer, system design engineering", "company" : "Sandisk", "industry" : "Computer Hardware", "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "certifications" : [ ], "timestamp" : "2026-06-15T13:16:06.751", "fingerprint" : "3807b570b83f52106ffa1de763796195e620a58f8698576a0eb8fe422fdfb989", "source" : "smartrecruiters", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131991375-staff-engineer-system-design-engineering", "externalId" : "744000131991375", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, C/C++, Shell scripts, AI frameworks, GPU computing", "professionalSkills" : [ "AI workloads, system architectures, performance characterization methodologies, modern AI infrastructure environments, Chat Assistants, LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, Image/Video Generation workloads, Vector DB & KV cache, storage systems, training and inference." ], "hardSkillsList" : [ "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience", "Master’s degree in Computer Science or Computer Engineering with 2+ years of experience", "Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required", "AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics", "Experience in Performance & Benchmarking – profiling tools, system bottlenecks", "Debugging knowledge on performance bottlenecks in AI pipelines", "Experience in deriving data movement costs on Edge platforms" ], "hardSkills" : [ { "name" : "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience", "level" : "intermediate" }, { "name" : "Master’s degree in Computer Science or Computer Engineering with 2+ years of experience", "level" : "intermediate" }, { "name" : "Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required", "level" : "intermediate" }, { "name" : "AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics", "level" : "intermediate" }, { "name" : "Experience in Performance & Benchmarking – profiling tools, system bottlenecks", "level" : "intermediate" }, { "name" : "Debugging knowledge on performance bottlenecks in AI pipelines", "level" : "intermediate" }, { "name" : "Experience in deriving data movement costs on Edge platforms", "level" : "intermediate" } ], "majorSkills" : "system design, AI infrastructure, performance characterization, benchmark development, performance analysis", "majorSkillsList" : [ "system design, AI infrastructure, performance characterization, benchmark development, performance analysis" ], "coreResponsibilities" : "Designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. Translating business and customer use cases into measurable performance validation strategies. Developing benchmark proposals, defining evaluation methodologies, and executing performance studies for a wide range of AI applications. Evaluating AI workloads across different hardware configurations to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. Collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies.", "teamCollaboration" : "Work closely with Marketing, Product Management and System Architecture teams. Collaborating with internal and external partners. Work with cross-functional teams for POC and architecture discussions for validation infrastructure.", "toolProficiency" : [ "NVLink, NVSwitch" ], "documentationSkills" : "performance reports", "continuousLearning" : "Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure.", "innovationCreativity" : "Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models. Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure.", "problemSolvingSkills" : "system design; performance bottlenecks; system architectures; distributed systems", "specialRequirements" : "Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"Know Your Rights: Workplace Discrimination is Illegal\" poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs. accommodations@sandisk. com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "outcomesObjectives" : "Enable comprehensive benchmark tests for AI infrastructure platforms. Translate business and customer use cases into measurable performance validation strategies. Generate detailed performance reports with actionable insights. Ensure reproducibility, automation, and continuous benchmarking capabilities within AI lab environments.", "qualificationsBasic" : "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience. Experience with different Operating Systems (Windows, Linux, VMware). Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required. AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics. Experience in Performance & Benchmarking – profiling tools, system bottlenecks. Debugging knowledge on performance bottlenecks in AI pipelines. Experience in deriving data movement costs on Edge platforms.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The ideal candidate will be responsible for designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. This role requires a strong understanding of AI workloads, system architectures, and performance characterization methodologies across modern AI infrastructure environments. The individual will work closely with Marketing, Product Management and System Architecture teams to understand benchmark requirements and translate business and customer use cases into measurable performance validation strategies. The candidate will develop benchmark proposals, define evaluation methodologies, and execute performance studies for a wide range of AI applications, including Chat Assistants and LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, and Image/Video Generation workloads. Responsibilities include selecting and optimizing benchmark frameworks, configuring AI software stacks, validating hardware and software performance, analyzing bottlenecks across compute, memory, storage, and networking subsystems, and generating detailed performance reports with actionable insights. The candidate will evaluate AI workloads across different hardware configurations such as GPUs, CPUs, accelerators, high-speed interconnects, NVLink/NVSwitch fabrics, storage architectures, and network fabrics to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. The role also involves collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies, while ensuring reproducibility, automation, and continuous benchmarking capabilities within AI lab environments. Strong analytical, scripting, and performance tuning skills are essential, along with hands-on experience in AI frameworks, GPU computing, distributed inference environments, and performance monitoring tools. Essential Duties and Responsibilities: •Design & Validate AI Infrastructure for Benchmarks •Analysis of Benchmarks for End-to-end AI Infrastructure and develop test environment for Benchmark tests •Define and Perform Benchmark tests for AI workloads on storage systems •Evaluate GPU vs CPU vs storage bottlenecks in AI pipelines •Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models •Design Benchmarks for Vector DB & KV cache •Optimize Data pipelines for Inference and training •Analyze Benchmark results, document and publish with recommendations Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure. Work with cross-functional teams for POC and architecture discussions for validation infrastructure. ## Qualifications Required: * Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience. Skills : * Experience with different Operating Systems (Windows, Linux, VMware). * Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required. * AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics * Experience in Performance & Benchmarking – profiling tools, system bottlenecks * Debugging knowledge on performance bottlenecks in AI pipelines * Experience in deriving data movement costs on Edge platforms ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 08/12/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Staff Engineer, system design engineering at Sandisk. Skills: system design, AI infrastructure, performance characterization, benchmark development, performance analysis. Designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. Translating business and customer use cases into measurable performance validation strategies. 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High-speed interfaces; Clocking; Jitter; Mixed-signal system behavior; SerDes fundamentals; Signal integrity; Power integrity", "domainList" : [ "automotive-serdes", "high-speed-interfaces", "clocking", "jitter", "mixed-signal-system-behavior", "serdes-fundamentals", "signal-integrity", "power-integrity" ], "domainSpecificKnowledge" : [ "Automotive SerDes", "High-speed interfaces", "Clocking", "Jitter", "Mixed-signal system behavior", "SerDes fundamentals", "Signal integrity", "Power integrity" ], "toolProficiency" : [ "High-speed oscilloscopes", "VNAs", "BERTs", "Logic analyzers", "Signal analyzers", "Spectrum analyzers" ], "communicationSkills" : "Present findings", "documentationSkills" : "Document results", "problemSolvingSkills" : "Root-cause analysis", "specialRequirements" : "10% travel", "qualificationsBasic" : "BSEE or equivalent with 5+ years experience, MSEE with 3+ years experience, Silicon bring-up and lab validation experience, Experience designing characterization hardware, Experience developing software and automation infrastructure, Hands-on capability with lab instrumentation, Solid understanding of high-speed digital interfaces, Demonstrated ability to independently debug issues, Clear written and verbal communication skills", "qualificationsPreferred" : "Hands-on experience with high-speed interfaces, Coordinating validation efforts across multiple engineers, Experience leading projects or technical ownership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**About Analog Devices** Analog Devices, Inc. (NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). **About Analog Devices** Analog Devices, Inc. (NASDAQ: [ADI](http://finance.yahoo.com/q?s=ADI) ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $11 billion in FY25 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at [www.analog.com](https://www.analog.com/) and on [LinkedIn](https://www.linkedin.com/company/analog-devices/posts/?feedView=all) and [Twitter (X)](https://x.com/adi_news). Join our Automotive OpenGMSL Team as a Staff Design Evaluation Engineer! We are seeking an experienced, self-motivated, and passionate engineer to lead **lab characterization and validation** of cutting-edge products for Automotive SerDes applications. OpenGMSL (Gigabit Multimedia Serial Link) is the leading high‑speed in‑vehicle serial link technology in the automotive industry. It enables safe and secure transport of video and data while significantly reducing the cost, weight, and complexity of vehicle cable harnesses. Our extensive portfolio of products is in full production, with millions of vehicles worldwide relying on it daily. OpenGMSL offers cost-effective video and data transport and bridging for various applications, including basic information displays and rearview cameras in mass-market vehicles, safety-critical cameras in autonomous vehicles, and high-resolution touch screens in high-end vehicles. Beyond automotive, OpenGMSL solutions are widely used in industrial and medical systems as well as in growing robotics applications. The position is based in Beaverton, Oregon. **Responsibilities:** * Design Validation Ownership: Work directly with design engineers and system architects to develop validation plans for new products, covering functional, performance, margin, and robustness requirements. * Lab Evaluation & Characterization: Execute validation plans through hands‑on laboratory testing, including silicon bring‑up, characterization, debug, and corner analysis of high‑speed SerDes products. * Test Hardware & Software Development: Design and develop evaluation hardware (boards, fixtures, adapters) and software (scripts, automation frameworks, embedded firmware) required to enable efficient and repeatable testing. * Debug & Root‑Cause Analysis: Lead or contribute to functional, performance, and system‑level debug of new IP and products, spanning digital, analog, mixed‑signal, firmware, and system interfaces. * Data Analysis & Reporting: Analyze large and complex data sets, summarize results clearly, and communicate findings and recommendations to cross-functional team. **Minimum Qualifications:** * Education & Experience: BSEE or equivalent with 5+ years of relevant experience, or MSEE with 3+ years of relevant experience. * Silicon Bring‑Up & Lab Validation Experience: Proven experience executing silicon bring‑up, validation, and characterization of ICs in a laboratory environment. * Test Hardware Development: Experience designing characterization hardware infrastructure, including evaluation boards, fixtures, and de-embedding structures. * Test Software & Automation Development: Experience developing software and automation infrastructure for lab validation using scripting or programming languages such as Python, C/C++/C#, or similar. * Hardware Debug & Measurement Skills: Strong hands‑on capability with lab instrumentation such as high‑speed oscilloscopes, VNAs, BERTs, logic analyzers, signal/spectrum analyzers, and power measurement equipment. * SerDes & Communications Expertise: Solid understanding of high‑speed digital interfaces, SerDes fundamentals, clocking, jitter, signal integrity, power integrity, and mixed‑signal system behavior. * Debug & Root‑Cause Analysis: Demonstrated ability to independently debug functional, performance, and system‑level issues and drive issues to root cause with design teams. * Communication & Collaboration: Clear written and verbal communication skills, with the ability to document results, present findings, and work effectively in a cross‑functional design environment. **Preferred Qualifications:** * SerDes Standards and Protocols: Hands‑on experience with high‑speed interfaces and protocols such SerDes, Ethernet, PCIe, USB, DisplayPort, CSI/DSI, or HDMI. * Cross‑Site or Multi‑Engineer Coordination: Experience coordinating validation efforts across multiple engineers, labs, or development sites. * Team Leadership: Experience leading projects or taking on technical ownership within a validation or lab environment. _For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process._ _Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group._ _EEO is the Law:[Notice of Applicant Rights Under the Law](https://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf)._ Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $131,285 to $190,108. * Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. * This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. * This position includes medical, vision and dental coverage, 401k, paid vacation, **holidays, and sick time** , and other benefits.", "summaryDescription" : "Staff Engineer, Design Evaluation Engineering at Analog Devices. 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Execute validation plans", "postedDate" : "2026-06-09T16:46:22.011", "createdAt" : "2026-06-11T16:46:21.914", "lastUpdated" : "2026-06-13T20:41:53.460", "ingestTimestamp" : "2026-06-11T16:46:21.914", "mongoId" : "6a2a875a74d8ee00a067dff6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://analogdevices.wd1.myworkdayjobs.com/External/job/US-OR-Beaverton/Staff-Engineer--Design-Evaluation-Engineering_R262604", "salaryAnnualMin" : 22880, "salaryAnnualMax" : 22880, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Silicon bring-up", "Characterization", "Signal integrity", "Power integrity", "System behavior", "Design Evaluation", "Lab Characterization", "High-speed SerDes", "Design validation", "Lab evaluation", "Root-cause analysis", "Data analysis", "Automotive SerDes", "High-speed interfaces", "Clocking", "Jitter", "Mixed-signal system behavior", "SerDes fundamentals", "High-speed oscilloscopes", "VNAs", "BERTs", "Logic analyzers", "Signal analyzers", "Spectrum analyzers" ], "skillCount" : 24, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor" }, { "id" : "6a307110f292fd229cff7b12", "title" : "Staff Digital Design Engineer", "company" : "Renesas Electronics", "industry" : "Semiconductors", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Digital Design Engineer in Zhubei, Taiwan, adjusted for the technology industry and company size." }, "location" : "Zhubei, TW", "locations" : [ "Zhubei", "TW" ], "timestamp" : "2026-06-16T10:03:37.490", "fingerprint" : "a329024bc84146e5337520b74503df098ca71391a9e5076b9400dadd29fe3612", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/RenesasElectronics/744000132165629-staff-digital-design-engineer", "externalId" : "744000132165629", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zhubei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.8396820,121.0040779" } ], "locationText" : "Zhubei, Taiwan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. * Design optimized digital blocks meeting functional, cost and low power constraints and ensure spec compliance. * Cover digital backend design from synthesis, upf, static timing analysis and logic equivalent checking. * Interface with P&R for digital hand-off and post layout verification. * Collaboration with analog engineers and test engineers on analog testability design and debugging. * Work closely with Application/GUI team in FPGA prototype and lab debugging. * Perform physical silicon device evaluation where necessary. ## Qualifications * 7+ years of experience in ASIC/IC design with deep knowledge of whole IC design flow from RTL coding, synthesis, static timing analysis, logic equivalent checking to post-layout checking. * Experience in DFT or physical design is a plus. * Experience in FPGA prototype and lab equipment and lab debug is a plus. * Fluent in either Verilog RTL coding and ASIC design methodology. * Competence in developing design constraints for synthesis, STA and P&R handoff. * Ability to work both independently and part of a team. * Excellent interpersonal, organizational and communications skills. ## Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: * Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. * Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. * Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, disabilities, military status, veteran status, or any other basis protected by law. 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A firm that invests in its people and fosters an entrepreneurial culture that leads to innovation for our clients, communities and environment? If so, please read on. WSC is a premier engineering and communications consulting firm focused exclusively on water. Our team of expert engineers and communicators is recognized for delivering planning, design, program management, construction management, and energy solutions for municipalities, public and private utilities, special districts, energy providers, and more throughout California and the Pacific Northwest. As a next-generation consulting leader, WSC meets clients where they are, providing insight and redefining possibilities through a high standard of hands-on service, innovation, quality, and visionary leadership. We are seeking a Staff Engineer to collaborate with designers, planners, project managers, strategic communicators, and technical leaders on vital water, wastewater, and recycled water infrastructure projects. Under the mentorship of senior engineers, planners, and project managers, you will gain hands-on experience across a variety of challenging and exciting planning, design, and optimization projects.This position is hybrid and can be based out of one of our Southern California Offices in San Diego, Ontario, and Laguna Hills. What You Will Do You will be a part of multi-disciplinary teams that plan, design, and optimize water infrastructure. You will support water, wastewater and/or recycled water design and planning projects, including development of scope, budget, and schedule. You will serve in a Project Manager, Assistant Project Manager, and/or Project Engineer role based on your level of experience. This position will be based out of one of our Southern California locations in Ontario, San Diego, or Laguna Hills with a flexible hybrid work option. This position may require some travel throughout California, Oregon, and Washington. What You Bring Bachelor’s degree in Civil/Environmental Engineering or related engineering field; Master’s degree preferred or enrollment in a Master’s program. Experience delivering successful and collaborative project performance that achieves clients’ goals, including cost-effective, sustainable, energy-efficient, operator-friendly, and innovative valuable outcomes. Demonstration of understanding and defining project goals and requirements. Team first mindset. You enjoy collaborating, learning from, and teaching others, and are active in creating a positive team dynamic. Active participant in related professional associations, preferred, and knowledge of the latest industry trends. Desire to operate with freedom and accountability. A willingness to take risks and ownership of those risks. Strong verbal and written communication skills, including experience writing proposals and presentations, technical memoranda, reports, drawings, specifications, and miscellaneous project documents. Project workshop leadership, facilitation of alternatives analysis evaluation and decision making. Development of sustainable solutions and alternative project delivery methods a plus. Ability to serve as a dedicated and effective client service partner and demonstrate responsiveness, clear communication, quality delivery, mindful listening, and problem-solving skills. AutoDesk Civil 3D or BIM/Revit design experience is a plus. 3-5 years of experience in planning, design and/or construction of water, wastewater and or recycled water facilities. E.I. T. registration or the ability to obtain registration within one year. P. E. registration or ability to obtain within one year is a plus. Passionate about mentoring and advocating within our team. Salary Range: The salary range for this position is annually and may be $75,000 - $110,000 more or less depending on experience. Who We Are At WSC, we foster a people-centric culture where we care deeply about client relationships and see our coworkers as part of a big family. We have received recognition as one of the Best Places to Work and as a Fast-Growing Firm by Inc. Magazine’s national workplace survey and our staff. We believe there are always opportunities to learn, grow, and advance, and we prioritize supporting each other in that process. We make it easy for you to enjoy the work you love by providing great benefits. With an attractive compensation package including competitive salary, 401(k) plan, ESOP (employee stock ownership plan), employer paid short- and long-term disability, holiday pay, generous paid time off, tuition reimbursement, fitness, and health benefits program, we have you covered! Learn more about the benefits we offer Employee Benefits - WSC WSC is committed to growing our network of people, programs, and resources to nurture an inclusive culture. As such, we do not make hiring or other employment-related decisions on the basis of an applicant or employee's race, color, ethnicity, national origin, citizenship, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, generic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws", "summaryDescription" : "Staff Water Design Engineer at WSC", "postedDate" : "2026-06-14T21:31:06.452", "createdAt" : "2026-06-14T21:31:06.452", "lastUpdated" : "2026-06-16T02:18:07.185", "ingestTimestamp" : "2026-06-14T21:31:06.452", "mongoId" : "6a2c7f4c74d8ee00a09550f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5d8d9bc74574cb6682d4", "title" : "Staff / Principal Advanced Packaging Engineer", "company" : "Bitdeer Technologies Group", "industry" : "Manufacturing", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff/Principal Advanced Packaging Engineer in Penang, Malaysia, adjusted for the technology industry and company size." }, "location" : "Penang, MY", "locations" : [ "Penang", "MY", "Singapore" ], "timestamp" : "2026-06-16T04:39:58.203", "fingerprint" : "06c9acb54ee3acaaa4187638d2f82db7c641bcebce3ed4509b05d95f13166b45", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bitdeer.breezy.hr/p/09787f526aa5-staff-principal-advanced-packaging-engineer", "externalId" : "09787f526aa5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Penang", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "5.4065013,100.2559077" } ], "locationText" : "Penang, Malaysia", "employmentType" : "FULL_TIME", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Staff / Principal Advanced Packaging Engineer at Bitdeer Technologies Group", "createdAt" : "2026-06-14T21:03:18.112", "lastUpdated" : "2026-06-16T04:39:58.203", "ingestTimestamp" : "2026-06-14T21:03:18.112", "mongoId" : "69ce5d8d9bc74574cb6682d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706957fc9a711f0f6edb9", "title" : "Mechanical Engineer Manager, Design Engineering, DC Design Engineering", "company" : "Amazon Corporate Services Pty Ltd", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 205000.0, "max" : 315000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager level Mechanical Engineer in Sydney, Australia, adjusted for the technology industry and large company size." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-16T04:13:48.790", "fingerprint" : "19a5654682c7c8b1660a2db0ae8148f8eaa961461f90fb01160d9e679ad01e06", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070440/apply", "externalId" : "f0df6399-9fde-4314-b9ce-b1be5fde7205", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Our Data Center Design Engineering team is seeking an exceptional Mechanical Design Engineering Manager to drive transformative mechanical design solutions across the Asia-Pacific region. You'll be at the forefront of developing next-generation data center technologies, shaping critical infrastructure that powers global cloud computing. Key job responsibilities - Lead and develop a high-performing mechanical design engineering team across the Asia-Pacific region - Drive the team's global design consistency and standardization of mechanical systems across multiple geographical regions - Manage and approve mechanical equipment innovations and design submissions - Establish robust processes for internal design development and third-party vendor management - Oversee procurement and technical specifications for mechanical Owner Furnished Contractor Installed (OFCI) equipment - Manage team reporting, hiring, growth opportunities, annual goal reporting, KPIs and performance reviews A day in the life Imagine leading a dynamic team of mechanical engineers who are re-imagining how data centers are designed and built. Your day will involve strategic planning, innovative design reviews, and collaborating with cross-functional teams to develop mechanical solutions. You'll navigate complex technical challenges, manage vendor relationships, and make critical decisions that impact our global data center infrastructure. About the team About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree in Mechanical Engineering or related discipline - Extensive experience in mission-critical design - Proven track record in project management - Experience managing a team of mechanical engineers Preferred Qualifications: - Advanced degree in Mechanical Engineering - Professional Engineering license - Comprehensive understanding of data center design and critical equipment - Expertise in building codes and regulations across the Asia-Pacific region - Experience with fast-track design and complex upgrade projects - Strong ability to develop and communicate complex technical business cases Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Mechanical Engineer Manager, Design Engineering, DC Design Engineering at Amazon Corporate Services Pty Ltd", "postedDate" : "2026-06-14T20:22:01.794", "createdAt" : "2026-06-14T20:22:01.794", "lastUpdated" : "2026-06-16T04:13:48.790", "ingestTimestamp" : "2026-06-14T20:22:01.794", "mongoId" : "68b706957fc9a711f0f6edb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070440/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cea0474d8ee00a0a6f6c0", "title" : "Staff Engineer, Test & Evaluation (R5141)", "company" : "Shield AI", "industry" : "X-BAT Engineering - System Engineering & Integrated Test", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Dallas, Texas", "locations" : [ "Dallas, Texas" ], "timestamp" : "2026-06-16T01:39:05.492", "fingerprint" : "8a22ca902adea9e56b1135afdb156f90251b06da166ff8c25eaf2e384a4688e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/dc9cd4bf-fc16-4016-aed4-776029ca3d35/apply", "externalId" : "dc9cd4bf-fc16-4016-aed4-776029ca3d35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a driven and hands-on test professional to support aircraft and system testing in a fast-paced aerospace environment on our XBAT program. This role is ideal for someone who enjoys solving complex problems, working closely with cross-functional teams, and seeing projects move from early development through production and flight operations. The right candidate will have experience planning and executing tests for UAV or manned aircraft platforms and be comfortable building test plans and procedures from the ground up. This individual should be organized, adaptable, and detail-oriented, with the ability to manage multiple test activities while maintaining a strong focus on safety, quality, and mission success. ## What you'll do Manage and maintain traceability of test requirements throughout system development, integration, and test execution phases. Plan, coordinate, and execute aircraft/lab test execution activities, including pre-test readiness reviews, test conduct, data collection, and post-test reporting. Coordinate test schedules and support comprehensive test planning activities to ensure alignment with program milestones and objectives. Develop and manage test event sequencing and execution plans throughout the aircraft build and integration lifecycle. Coordinate and oversee ground and flight test execution activities, ensuring adherence to approved procedures, safety requirements, and program objectives. Ensure test activities, methodologies, and deliverables align with engineering, mission, and program requirements. Participate in Test Readiness Reviews (TRRs), test planning meetings, and pre-test briefings to support successful test execution. Develop, maintain, and continuously improve test procedures to enhance accuracy, efficiency, repeatability, and overall execution quality. Investigate, troubleshoot, and evaluate test anomalies, discrepancies, and system performance issues to support timely resolution. Collaborate closely with Test Engineering, Quality Engineering, and cross-functional teams to resolve issues, implement corrective actions, and improve test processes. Drive continuous improvement initiatives focused on increasing test efficiency, execution quality, and operational effectiveness. Support extended work hours, shift work, and weekend operations as required to meet test schedules, flight operations, and program commitments. ## Required qualifications Bachelor's degree in Engineering or related technical field and 7+ years of relevant aerospace, aircraft test, or flight test experience; or equivalent combination of education and experience. Experience planning, executing, and reporting on test activities for UAV, UAS, or manned aircraft systems. Ability to read, interpret, and understand engineering drawings, schematics, and technical documentation. Experience developing aircraft test plans, test procedures, and test documentation for new or modified aircraft systems. Hands-on experience supporting aircraft integration, test, and validation activities in a production or manufacturing environment. Ability to troubleshoot complex aircraft, avionics, and system integration issues during test activities. Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams. Demonstrated attention to detail with a proactive, safety-focused approach to testing and operations. Ability to obtain and maintain a DoD Secret security clearance and any required program access. Willingness to work non-standard hours, including evenings and weekends, as required to support program objectives. Ability to travel domestically to support flight test and customer site activities. Experience leading aircraft test planning and execution efforts across multiple programs or test events. Demonstrated ability to mentor junior engineers and technicians. Experience coordinating test activities across engineering, manufacturing, operations, and customer stakeholders. Ability to independently develop test strategies and provide technical leadership for complex integration and flight test campaigns ## Preferred qualifications Active DoD Secret security clearance (current preferred) with eligibility to support special access programs. Experience supporting Group 5 UAS/UAV launch, recovery, and flight operations. Hands-on experience with aircraft avionics systems, integration, troubleshooting, and testing. Aircraft maintenance experience supporting military, commercial, or unmanned aircraft platforms. Experience conducting laboratory-based testing, verification, and validation of aircraft systems, subsystems, or components. ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Staff Engineer, Test & Evaluation (R5141) at Shield AI", "postedDate" : "2026-06-12T22:09:22.610", "createdAt" : "2026-06-12T22:09:22.610", "lastUpdated" : "2026-06-16T01:39:05.492", "ingestTimestamp" : "2026-06-14T21:46:35.421", "mongoId" : "6a2cea0474d8ee00a0a6f6c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305f04f292fd229cf7739b", "title" : "Senior/Staff Design Engineer, iOS", "company" : "Suno", "industry" : "Design", "salary" : { "min" : 220000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "NYC", "locations" : [ "NYC" ], "timestamp" : "2026-06-16T12:02:06.607", "fingerprint" : "d841e6e18f2f1d400733a99568cfa255ab6f22989f1b0a29fb1bf2197be7f01d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Suno/e7169fc2-c1c5-416a-a4aa-48190e1febfd/application", "externalId" : "e7169fc2-c1c5-416a-a4aa-48190e1febfd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE We're hiring a Design Engineer to help shape the future of music creation by bringing product experiences to life through both design and code. This is a highly collaborative role sitting at the intersection of Product Design and Engineering, focused on turning ideas into polished, interactive experiences that delight millions of users. You'll partner closely with other designers, product managers, and engineers to prototype, build, and refine user-facing features across our web and mobile platforms. We care deeply about craft, speed, and experimentation, and we're looking for someone who is equally excited about designing interfaces as they are about implementing them. If you're passionate about creating exceptional consumer products and love working where design and engineering overlap, we'd love to hear from you. Listen to the song we made about it: https://suno.com/s/wocaJrca6E4RjJok WHAT YOU'LL DO - Take ideas end-to-end from conception to production. You drive creation whether it's collaboration in Figma, a novel proof of concept, or the code that turns concept into reality. - Strike a balance between proactive ownership and autonomy with a deeply collaborative spirit, working closely with Product, Engineering, Marketing, and others. - Hold an incredibly high standard for quality and craft. You care about the little details (pixel-perfection, microinteractions, motion design) that add up to excellence. - Think in systems and patterns. You’ll help establish our design system to ensure consistency and quality across Product Design and Engineering. - Experiment rapidly with AI-powered workflows and creative tools that push the boundaries of what the team can accomplish together. WHAT YOU'LL NEED - 5+ years (Senior) or 7+ years (Staff) of experience designing and building exceptional consumer products. Your portfolio showcases thoughtful design and shipped product experiences. - Mobile UI expertise. You craft delightful interfaces with iOS frameworks like SwiftUI and UIKit, and anything else that helps you design and build best-in-class mobile experiences. - A bias for action. You thrive as a self-starter in a fast-paced environment where you can wear many hats and bring your ideas to life. - Comfort with ambiguity. You’re always learning and growing, and can help bring clarity to a fast-moving problem space with more questions than answers. - A love for music (listening, exploring, making) is a huge plus. ADDITIONAL NOTES - This is an in-person role working at our NYC ofice. - Applicants must be eligible to work in the US. COMPENSATION The annual salary range for this role is $220K – $280K + target equity + benefits (including medical, dental, vision, and 401k) PERKS & BENEFITS - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. 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Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE We're hiring a Design Engineer to help shape the future of music creation by bringing product experiences to life through both design and code. This is a highly collaborative role sitting at the intersection of Product Design and Engineering, focused on turning ideas into polished, interactive experiences that delight millions of users. You'll partner closely with other designers, product managers, and engineers to prototype, build, and refine user-facing features across our web and mobile platforms. We care deeply about craft, speed, and experimentation, and we're looking for someone who is equally excited about designing interfaces as they are about implementing them. If you're passionate about creating exceptional consumer products and love working where design and engineering overlap, we'd love to hear from you. Listen to the song we made about it: https://suno.com/s/wocaJrca6E4RjJok WHAT YOU'LL DO - Take ideas end-to-end from conception to production. You drive creation whether it's collaboration in Figma, a novel proof of concept, or the code that turns concept into reality. - Strike a balance between proactive ownership and autonomy with a deeply collaborative spirit, working closely with Product, Engineering, Marketing, and others. - Hold an incredibly high standard for quality and craft. You care about the little details (pixel-perfection, microinteractions, motion design) that add up to excellence. - Think in systems and patterns. You’ll help establish our design system to ensure consistency and quality across Product Design and Engineering. - Experiment rapidly with AI-powered workflows and creative tools that push the boundaries of what the team can accomplish together. WHAT YOU'LL NEED - 5+ years (Senior) or 7+ years (Staff) of experience designing and building exceptional consumer products. Your portfolio showcases thoughtful design and shipped product experiences. - Mobile UI expertise. You craft delightful interfaces with iOS frameworks like SwiftUI and UIKit, and anything else that helps you design and build best-in-class mobile experiences. - A bias for action. You thrive as a self-starter in a fast-paced environment where you can wear many hats and bring your ideas to life. - Comfort with ambiguity. You’re always learning and growing, and can help bring clarity to a fast-moving problem space with more questions than answers. - A love for music (listening, exploring, making) is a huge plus. ADDITIONAL NOTES - This is an in-person role working at our NYC ofice. - Applicants must be eligible to work in the US. COMPENSATION The annual salary range for this role is $220K – $280K + target equity + benefits (including medical, dental, vision, and 401k) PERKS & BENEFITS - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.", "summaryDescription" : "Senior/Staff Design Engineer, iOS at Suno", "createdAt" : "2026-06-16T00:25:36.024", "lastUpdated" : "2026-06-16T12:54:01.312", "ingestTimestamp" : "2026-06-16T00:25:36.024", "mongoId" : "6a305612f292fd229cf24a9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 280000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c934374d8ee00a0987c1f", "title" : "Staff Product Design Engineer", "company" : "Ōura", "industry" : "Manufacturing", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Product Design Engineer in San Francisco, adjusted for industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-15T05:21:23.166", "fingerprint" : "8e09e208bc1db62588ecd85f1e800f71c76035533696a3e0669d7f7a10fdbcde", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4093697009", "externalId" : "4093697009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "3D CAD, NX, Solidworks, PCBs, Flexes, Antennas, Enclosures, Mechanisms, Batteries", "professionalSkills" : [ "Product development", "Design roadmap", "Product timelines", "Technical leadership", "Project planning", "Documentation" ], "hardSkillsList" : [ "Mechanical design", "Materials science", "Manufacturing processes", "Mechanics of materials", "Prototyping", "Test equipment" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Mechanics of materials", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "Test equipment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Mechanical design, Wearable devices, Consumer electronics, Prototyping", "majorSkillsList" : [ "Mechanical design", "Wearable devices", "Consumer electronics", "Prototyping" ], "coreResponsibilities" : "Mechanical design and development, Drive product development, Build prototypes, Break prototypes, Iterate quickly, Define product roadmap, Drive product roadmap, Define timelines, Drive timelines", "teamCollaboration" : "Manufacturing partners; Industrial Designers; Hardware Engineers; UX Designers; Other engineers; Designers", "projectManagementSkills" : [ "Product roadmap", "Timelines" ], "domainKnowledge" : "Wearable technology; Consumer devices; Densely packaged electronics; Scalable manufacturing", "domainList" : [ "wearable-technology", "consumer-devices", "densely-packaged-electronics", "scalable-manufacturing" ], "domainSpecificKnowledge" : [ "Wearable technology", "Consumer devices", "Densely packaged electronics", "Scalable manufacturing" ], "toolProficiency" : [ "3D CAD", "NX", "Solidworks" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Project documentation", "innovationCreativity" : "Creative teams; Design", "problemSolvingSkills" : "Problem-solving; Analytical skills; Engineering challenges", "qualificationsBasic" : "10+ years consumer product design engineer, Wearables experience, Exercises independent judgement, Experience using 3D CAD, Design densely packaged consumer electronic parts, Build prototypes quickly, Evaluate design concepts, Knowledgeable about materials, Knowledgeable about scalable manufacturing processes, Deep technical foundation in mechanics of materials, Comfortable with the unknown, Comfortable with the ambiguous, Drive tasks independently, Act as a leader, Mentor across multiple organizations, Organize issues, Escalate issues, Communicate issues clearly, Explain technical concepts to non-technical stakeholders, Work with other engineers, Work with designers, Contribute to project planning, Contribute to documentation", "qualificationsPreferred" : "NX or Solidworks experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Staff Mechanical Design Engineer to join our hardware team working on future wearables. This opportunity will be hybrid to either San Diego or San Francisco. What you will do: Mechanical design and development of cutting-edge wearable and other consumer devices, with a keen focus to detail, precision, and design Drive product development with our manufacturing partners in Asia, North America, and Europe Build a lot of prototypes, break them, and iterate quickly. Work with leadership to help define and drive product roadmap and timelines. We would love to consider you for this role, if you have: Project Experience: 10+ years of experience as a consumer product design engineer who loves working on highly creative, fast-paced, and collaborative teams alongside Industrial Designers, Hardware Engineers, and UX Designers. Wearables experience preferred. Exercises independent judgement in methods, techniques, and evaluation criteria for obtaining results 3D Modeling: Experience using 3D CAD (NX or Solidworks) to design densely packaged consumer electronic parts including: PCBs, flexes, antennas, enclosures, mechanisms, and batteries, etc. Prototyping: Ability to scrappily build prototypes quickly and effectively to evaluate design concepts using standard test equipment. Materials and Manufacturing Expertise: Knowledgeable about a wide variety of materials, and scalable manufacturing processes. A deep technical foundation in mechanics of materials. Problem-Solving and Analytical Skills: You are comfortable with the unknown, the ambiguous, and strive to make engineering challenges a reality through creativity Driven, Technical Leadership: Able to drive tasks independently, act as a leader and mentor across multiple organizations, organize, escalate and communicate issues and needs clearly. Communication and Collaboration Skills: Effective communication and collaboration skills are important. Be able to explain technical concepts to non-technical stakeholders, work with other engineers and designers, and contribute to project planning and documentation. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 (San Francisco): $198,000 - $233,000 Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of Fake Job Offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes. Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Staff Product Design Engineer at Ōura. Skills: Mechanical design, Wearable devices, Consumer electronics, Prototyping. Mechanical design and development. Drive product development", "postedDate" : "2026-06-13T20:44:21.576", "createdAt" : "2026-06-13T20:44:21.576", "lastUpdated" : "2026-06-15T05:21:23.166", "ingestTimestamp" : "2026-06-13T20:44:21.576", "mongoId" : "6a2c934374d8ee00a0987c1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Materials science", "Manufacturing processes", "Mechanics of materials", "Prototyping", "Test equipment", "Leadership", "Mentoring", "Wearable devices", "Consumer electronics", "Product development", "Design roadmap", "Product timelines", "Technical leadership", "Project planning", "Documentation", "Product roadmap", "Timelines", "Wearable technology", "Consumer devices", "Densely packaged electronics", "Scalable manufacturing", "3D CAD", "NX", "Solidworks" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ea63474d8ee00a0e5b09f", "title" : "Staff Electrical Hardware Design Engineer", "company" : "Capella", "location" : "Louisville, Colorado, United States", "locations" : [ "Louisville", "Colorado", "United States" ], "timestamp" : "2026-06-15T10:13:30.250", "fingerprint" : "7aa66f29cff076d7a9b83af74bc80fea777a1cb362d4eb6287336f33bdc030d2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.capellaspace.com/company/apply?gh_jid=6018829004", "externalId" : "6018829004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Louisville", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Louisville, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C, I2C, SPI, UART, RS422, CAN, USB, PCIe, Ethernet", "professionalSkills" : [ "Experience designing for harsh environments (thermal, vacuum, vibration), familiarity with high-speed design or impedance-controlled layouts, exposure to radiation effects and mitigation, and familiarity with satellite electrical systems engineering (propulsion, EPS, GNSS, ADCS, space robotics) are preferred." ], "hardSkillsList" : [ "PCBAs", "digital buses", "high-speed design", "impedance-controlled layouts", "satellite electrical systems engineering" ], "softSkillsList" : [ "collaboration, resilience, precision, creativity, curiosity" ], "hardSkills" : [ { "name" : "PCBAs", "level" : "intermediate" }, { "name" : "digital buses", "level" : "intermediate" }, { "name" : "high-speed design", "level" : "intermediate" }, { "name" : "impedance-controlled layouts", "level" : "intermediate" }, { "name" : "satellite electrical systems engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration, resilience, precision, creativity, curiosity" } ], "majorSkills" : "schematic capture, layout, Altium Designer, lab instruments", "majorSkillsList" : [ "schematic capture, layout, Altium Designer, lab instruments" ], "coreResponsibilities" : "The Staff Electrical Hardware Design Engineer will own the full electrical design lifecycle for complex spaceflight hardware, from concept to flight readiness. This includes schematic capture, layout, bring-up, testing, and manufacturing handoff, while collaborating with cross-functional teams and guiding the Electrical Engineering team on special topics. The role involves defining test plans, scaling manufacturing, mentoring junior engineers, and driving failure analysis for anomalies.", "teamCollaboration" : "This role requires close collaboration with RF, mechanical, software, FPGA/SoC, and operations teams to ensure seamless integration of high-reliability, space-ready electronics. The engineer will also guide the Electrical Engineering team, present across disciplines, and mentor early-career engineers.", "projectManagementSkills" : [ "schedule planning" ], "toolProficiency" : [ "oscilloscopes, logic analyzers, power analyzers" ], "communicationSkills" : "cross-functional communication; stakeholder alignment; concise documentation", "documentationSkills" : "requirements engineering; DFM reviews; DFT issues; documentation habits", "continuousLearning" : "The role encourages curiosity about advanced areas like architecture optimization or radiation mitigation, even if outside the immediate scope, fostering a culture of continuous learning and exploration.", "innovationCreativity" : "Capella's culture is built on a shared commitment to delivering solutions that strengthen global stability and security, valuing curiosity, resilience, and a willingness to tackle hard problems with precision and creativity. Diverse viewpoints are encouraged to strengthen innovation and deliver meaningful impact.", "problemSolvingSkills" : "root cause analysis; DFM/DFT issues", "specialRequirements" : "To conform to U.S. Government space technology export regulations (ITAR), employees must be a U.S. citizen, lawful U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce.", "outcomesObjectives" : "Success is defined by consistently delivering flight-quality hardware on schedule with minimal oversight, proactively identifying and articulating system-level risks, communicating effectively across gaps, making thoughtful trade-offs justified by data, and demonstrating advanced, wide-ranging experience.", "qualificationsBasic" : "A Bachelor's degree in electrical engineering or a related field is required, along with 8+ years of experience in designing and debugging PCBAs. Proficiency in Altium Designer or similar ECAD tools, hands-on experience with lab instruments, a solid understanding of digital buses, and experience with board bring-up, test planning, and production issues are essential.", "qualificationsPreferred" : "A Master's degree in electrical engineering or a related field is preferred. Additional preferred qualifications include experience designing for harsh environments, familiarity with high-speed design or impedance-controlled layouts, basic scripting or automation in Python or C for hardware test workflows, exposure to radiation effects and mitigation, familiarity with EMIC design practices, and familiarity with satellite electrical systems engineering.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Location: This role is based onsite at our Louisville, CO office. Travel: Up to 10%, domestic or international. Job ID: 578 About Capella Capella, an IonQ company, spans national security, advanced sensing, and next-generation compute to deliver secure, mission-ready intelligence. Capella’s culture is built on collaboration, rigorous engineering, and a shared commitment to delivering solutions that strengthen global stability and security. Team members work side-by-side with some of the most innovative minds in space systems, quantum-enabled technologies, and mission-critical operations. Capella values curiosity, resilience, and a willingness to tackle hard problems with precision and creativity. Capella welcomes and encourages applicants whose perspectives are historically underrepresented in technology, national security, and aerospace. No prior space experience is required. Diverse viewpoints strengthen Capella’s ability to innovate and deliver meaningful impact for partners worldwide. The Role As a Staff Electrical Hardware Design Engineer, you will take ownership of full-cycle PCBA designs, from early concept to flight readiness. You will work cross-functionally with RF, mechanical, software, FPGA/SoC, and operations teams to bring high-reliability, space-ready electronics to orbit. You will guide the Electrical Engineering team on special topics and present across disciplines to help facilitate ideas, product readiness, and conduct reviews. Responsibilities Own the full electrical design lifecycle for complex spaceflight hardware: Concept of operations, requirements engineering, schematic capture, layout, bring-up, test, and manufacturing handoff Develop robust analog/digital designs for mission-critical systems under environmental and performance constraints Organize collaborative cross disciplinary design reviews sharing feedback and shaping solutions with a team of experienced engineers Provide critical input to schedule planning, hardware requirements, and process improvements Lead board-level bring-up and debugging, integrating firmware/software/FPGA with embedded systems Define test plans and verification strategies that meet flight readiness requirements Play a key role in scaling up our manufacturing facility bringing hardware from prototype to low-volume production Collaborate across teams- mechanical, RF, software, FPGA/SoC, and systems to ensure seamless integration Mentor early-career engineers contributing to internal process improvements and elevating the overall quality of the team Engage with external vendors and CMs, ensuring delivery quality, resolving DFM/DFT issues, and ensuring on-time delivery Drive failure analysis and root-cause investigations across flight or test anomalies What Success Looks Like You consistently deliver flight-quality hardware on schedule with minimal oversight You proactively identify and articulate system-level risks and drive mitigations early You communicate across hardware/software and cross-functional gaps with confidence and clarity You make thoughtful trade-offs in constrained environments and justify them with data You show curiosity about advanced areas like architecture optimization or radiation mitigation, even if they’re outside your scope for now You exhibit advanced, wide-ranging experience in electrical engineering, using in-depth professional knowledge You get things done, align with stakeholders, and document concisely Qualifications Bachelor’s degree in electrical engineering or related field 8+ years of experience designing and debugging PCBAs Proficiency in Altium Designer (or similar ECAD tools) Hands-on experience with lab instruments (oscilloscopes, logic analyzers, power analyzers, etc.) Solid understanding of digital buses (I2C, SPI, UART, RS422, CAN, USB, PCIe, Ethernet etc.) Familiarity with board bring-up, test planning, and design verification workflows Experience interacting with contract manufacturers, supporting DFM reviews, and resolving production issues Strong documentation habits and organizational skills Required Qualification Master’s degree in electrical engineering or related field Experience designing for harsh environments (thermal, vacuum, vibration, etc.) Familiarity with high-speed design or impedance-controlled layouts Basic scripting or automation in Python or C for hardware test workflows Exposure to radiation effects and mitigation in electronic design Familiarity with EMI/EMC design practices and validation Familiarity with satellite electrical systems engineering (propulsion, (EPS) Electrical Power System, (GNSS) Global Navigation Satellite System, (ADCS) Attitude Determination and Control System, space robotics, etc) To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U. S. citizen, lawful U. S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U. S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U. S. Department of State and/or the U. S. Department of Commerce, as applicable. Learn more about ITAR here. Compensation The approximate base salary range for this position is $145,920 - $181,949. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site. Benefits/Perks In addition to an opportunity to take part in an innovative, collaborative and fast-growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation: We provide extensive medical coverage, including strong vision and dental plans, flexible spending accounts, and additional supplemental health options. Stock option grants for new hires 401K Plan to invest in your long-term retirement goals Generous Parental Leave Paid Flexible Time Off Policy Lifestyle Spending Account Commuter & Parking Benefits Mental Health Resources Monthly Phone Stipend Daily provided lunches and stocked kitchens. Furry friends? We’ve got you covered with dog-friendly work environment & them with pet insurance options Equal Opportunity Statement Capella Space is an equal opportunity employer, committed to creating a diverse and inclusive workplace, and upholding equitable hiring practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you need assistance or require an accommodation during the job application process, please notify recruiting@capellaspace.com To learn more about us, explore our site: https://www.capellaspace.com/ and follow us on X and LinkedIn to see our SAR imagery!", "summaryDescription" : "Staff Electrical Hardware Design Engineer at Capella. Skills: schematic capture, layout, Altium Designer, lab instruments. The Staff Electrical Hardware Design Engineer will own the full electrical design lifecycle for complex spaceflight hardware, from concept to flight readiness. This includes schematic capture, layout, bring-up, testing, and manufacturing handoff, while collaborating with cross-functional teams and guiding the Electrical Engineering team on special topics. 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Global teams; Design teams; Product Engineering teams; Test Engineering teams; Applications teams", "domainKnowledge" : "Digital SoCs; Mixed-signal SoCs; High-speed interfaces; Precision analogue IPs; Communication protocols; Embedded systems", "domainList" : [ "digital-socs", "mixed-signal-socs", "high-speed-interfaces", "precision-analogue-ips", "communication-protocols", "embedded-systems" ], "domainSpecificKnowledge" : [ "Digital SoCs", "Mixed-signal SoCs", "High-speed interfaces", "Precision analogue IPs", "Communication protocols", "Embedded systems" ], "toolProficiency" : [ "IAR", "Keil", "Audio Precision" ], "innovationCreativity" : "Design innovative solutions", "problemSolvingSkills" : "Debug; Troubleshooting", "specialRequirements" : "10% travel", "outcomesObjectives" : "Ensure robust silicon validation; Ensure silicon characterization; Ensure production readiness; Enable smooth product ramp; Enable product release", "qualificationsBasic" : "B. Tech/M. Tech degree, 0–2 years of experience, High-speed digital validation experience, Electrical compliance characterization experience, System validation experience, Precision analogue IPs characterization experience, Working knowledge of communication protocols, Experience running system-level performance benchmarks, Familiarity with embedded toolchains, Programming skills in Python, C, C#, VHDL/Verilog, Hands-on experience with bench instruments, Ability to work closely with teams", "qualificationsPreferred" : "Experience with DDR3, PCIe, CSI, USB, HDMI, Experience with ADCs, DACs, voltage references, Experience with I²C, SPI, USB, serial interfaces, Experience with MCUs, DSPs, NPUs, Experience with IAR, Keil", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**About Analog Devices** Analog Devices, Inc. (NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). **Design Evaluation Engineer** As part of the Post‑Silicon Engineering organization, you will be responsible for bench evaluation (validation) activities for new SoC product developments within the Digital Business Unit at Analog Devices. This role involves working closely with Design, Product Test Engineering (PTE), and Applications teams to drive the post‑silicon phase of product development, from first‑silicon bring‑up through full validation across Process, Voltage, and Temperature (PVT) corners. The ideal candidate is technically strong, has hands‑on experience in digital and mixed‑signal validation, and demonstrates the ability to collaborate effectively with cross‑functional, global teams to ensure robust silicon validation, characterization, and production readiness. **Key Responsibilities** * Design and develop innovative, reliable, and efficient bench hardware and software solutions for complex digital and mixed‑signal SoCs. * Drive the post‑silicon evaluation lifecycle, including hardware bring‑up, silicon bring‑up, functional validation, debug, and PVT characterization. * Develop, execute, and automate test scripts to support validation, debug, and characterization activities. * Engage early with Design teams to contribute to DFT definition and development, improving debug capability and overall testability. * Work in close collaboration with Product Engineering and Test Engineering teams to define, execute, and align on a comprehensive Silicon Characterization and Measurement (SCM) plan. * Schematic designs and review PCB layouts for evaluation boards to ensure robust validation coverage and debug accessibility. * Partner with Applications teams to define system‑level use cases for bench validation and customer‑focused testing. * Support correlation between bench evaluation results and production test data to enable smooth product ramp and release. **Qualifications & Experience** * B.Tech/M.Tech degree in Electronics or Electrical Engineering. * 0–2 years of hands‑on experience in high‑speed digital validation of MCUs (ARM Cortex), DSPs, and NPUs. * Strong experience in electrical compliance characterization and system validation of high‑speed interfaces such as DDR3, PCIe, CSI, USB, and HDMI. * Experience in characterization of precision analogue IPs including ADCs, DACs, and voltage references. * Working knowledge of validating communication protocols such as I²C, SPI, USB, and other serial interfaces. * Experience running system‑level performance benchmarks for power and speed across MCUs, DSPs, and NPUs. * Familiarity with embedded toolchains such as IAR, Keil, and similar development environments. * Strong programming skills in Python, C, C#, and VHDL/Verilog for automation, debug, and validation. * Hands‑on experience with bench instruments including oscilloscopes, Audio Precision systems, signal generators, and analyzers. * Proven ability to work closely with Design, Product Engineering, and Test Engineering teams to align evaluation, characterization, and production test strategies. _For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process._ _Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group._ Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days", "summaryDescription" : "Design Evaluation Engineer at Analog Devices. Skills: Digital validation, Mixed-signal validation, Bench evaluation, Silicon bring-up. Design bench hardware solutions. 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Abilene District Headquarters (08DISTHQ)
4250 NORTH CLACK
Abilene, 79601

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These intern positions will primarily cover the summer months, beginning in May going thru August. In a few circumstances if schedule and availability allow, these positions may continue throughout the year. These interns must be enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. These positions will offer the opportunity to gain valuable work experience, a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to a future career with the agency. At TxDOT you will work with skilled and licensed professionals to develop and enhance job skills through practical application. At TxDOT in the Abilene District, we have three core values: Safety for our employees and the traveling public, value our employees, and preserve our assets. We also strive to achieve a work-life balance and recognize the importance of your career as well as your home life. 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K.", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, Logistics", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Facility Design & Construction Advanced Engineer in Tokyo, Japan, adjusted for the logistics industry and Amazon's company size." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "certifications" : [ "Class 1 Architect", "Class 1 Construction Manager" ], "timestamp" : "2026-06-14T23:57:46.055", "fingerprint" : "b956cfb1493bc67e4a1fe09a9f3f0ccf3af4184ed8fbbdc8ceb94d81c1031ef8", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.com/jobs/3121788/apply", "externalId" : "865a5985-0954-4a48-9fc7-7ce8bc5415a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Cost management", "Budget management", "Cost reduction proposals", "Vendor discovery", "Payment processing" ], "hardSkillsList" : [ "Construction management", "Design management", "Safety management", "Quality management", "Schedule management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Construction management", "level" : "intermediate" }, { "name" : "Design management", "level" : "intermediate" }, { "name" : "Safety management", "level" : "intermediate" }, { "name" : "Quality management", "level" : "intermediate" }, { "name" : "Schedule management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Facility design, Construction management, Electrical systems, HVAC systems", "majorSkillsList" : [ "Facility design", "Construction management", "Electrical systems", "HVAC systems" ], "coreResponsibilities" : "Manage design and construction for new FC/SC/SSD openings, Oversee construction of buildings and facilities, Manage architectural, electrical, HVAC, sanitation, and fire fighting, Manage safety, quality, schedule, and cost, Standardize design methods and construction management, Create proposal documents for leadership, Manage budgets and propose budget reductions, Discover and manage vendor payments, Coordinate construction plans with stakeholders, Complete projects on schedule, Propose design standards for FC/SC/SSD, Gain agreement from internal stakeholders, Propose best practices to leadership, Manage multiple projects simultaneously, Obtain approval for project execution, Prepare plans for design, cost, and schedule, Conduct construction supervision as client, Ensure safe and on-schedule progress, Review facility designs, Renovate existing facilities", "teamCollaboration" : "Internal stakeholders; External stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Schedule management", "Cost management", "Quality management", "Safety management" ], "domainKnowledge" : "Logistics process design; Facility design; Building systems; Electrical equipment; HVAC equipment; Sanitation equipment; Fire fighting equipment; Construction management; Logistics facilities; Fulfillment centers; Sort centers; Sub same-day facilities", "domainList" : [ "logistics-process-design", "facility-design", "building-systems", "electrical-equipment", "hvac-equipment", "sanitation-equipment", "fire-fighting-equipment", "construction-management", "logistics-facilities", "fulfillment-centers", "sort-centers", "sub-same-day-facilities" ], "domainSpecificKnowledge" : [ "Logistics process design", "Facility design", "Building systems", "Electrical equipment", "HVAC equipment", "Sanitation equipment", "Fire fighting equipment", "Construction management", "Logistics facilities", "Fulfillment centers", "Sort centers", "Sub same-day facilities" ], "toolProficiency" : [ "Auto CAD" ], "communicationSkills" : "Negotiation; Presentation", "documentationSkills" : "Proposal writing; Business documentation", "innovationCreativity" : "VE/CD proposals", "specialRequirements" : "Average 2 days/week travel, Overnight stays for distant travel", "outcomesObjectives" : "Maximize facility value; Achieve smooth completion of projects", "qualificationsBasic" : "At least 3 fields of advanced knowledge/experience in architecture, electrical, HVAC, sanitation, disaster prevention equipment, Class 1 Architect, Class 1 Construction Manager, or equivalent professional knowledge, 10+ years of construction management experience as a client or 10+ years of construction management experience as a contractor, Site manager or chief engineer experience for projects over 1 billion JPY, PC skills (Word, Excel, Power Point), Business level Japanese proficiency", "qualificationsPreferred" : "Construction management experience in large new/renovation construction sites, Experience promoting innovative VE/CD with own ideas, Class 1 Construction Manager in architecture, electrical, piping, or equivalent knowledge and experience, CAD drawing experience and PC skills (Auto CAD), Business level English proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "オペレーション技術統括本部（英語名称JCFS: Japan Customer Fulfillment Solutions）はアマゾンジャパンオペレーション部門（JP Ops）の中核部門として、物流プロセスの設計・導入・改善に取り組むとともに、物流プロセスのベースとなる建屋の設計を最適化して、拠点の価値を最大化することに注力しています。アマゾンジャパンでは、物流施設の中でも大きな在庫を持つフルフィルメントセンター（FC）、仕分けを行う施設であるソートセンター（SC）、1つの建物の中に在庫と配送の両方の機能を持つ施設であるサブセイムデイ（SSD）およびその関連施設の新規開所工事を担うエンジニアを募集しています。発注者として建築・電気・空調・衛生・消火設備の分野における設計や施工を総合的に監理し、安全管理、品質管理、工程管理、コスト管理の面で高い水準を発揮して円滑に竣工まで導きます。多くの社内外の関係者と良好な関係を作り、業務の簡素化や建屋設備の標準化などの新しい仕組みづくりを提案できる能力、優れたコスト感覚をお持ちの方からの応募をお待ちしています。日常の業務においては、Amazonの行動指針である「リーダーシッププリンシプル（Leadership Principles）」を社員ひとりひとりが意識し、リーダーとして考え、行動することを大切にしています。「地球上で最もお客様を大切にする企業であること」というビジョンを実現するために、常にお客様のことを第一に考えチームで働くことが出来る方、オーナーシップを持ち、日々の仕事に情熱を持ち取り組んでいただける方を求めています。安全で快適な施設を提供する仕事にモチベーションを感じる方、そして何事にも前向きに行動できる方からの応募をお待ちしています。職務記述（内容、責任、遂行要件、他職務との関係等） 55%　FC/SC/SSDの新規開所工事における発注者としての設計監理業務、工事監理全般 20％　設計方法や工事監理の標準化、リーダーシップへの提案書類の作成 20％　予算管理および予算削減の提案 5%　協力会社の発掘、支払業務などの事務的作業 Related information ・所属部門:オペレーション技術開発・職種:エンジニア・勤務地:東京オフィス・オペレーション技術開発部門の社員インタビューはこちら・エンジニア職の社員インタビューオペレーション技術開発(JCFS)部門/東京オフィス勤務の社員S.U.さんオペレーション技術開発(JCFS)部門/関東DS勤務の社員M.U.さん Amazonは多様かつインクルーシブな職場づくりを目指しています。Amazonは男女雇用機会均等法を順守しています。人種、出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。https://www.amazon.jobs/disability/jp オペレーション部門のDEIの取り組み（Japanese Only） Key job responsibilities FC/SC/SSD新規開所プロジェクトにおいて、建築・電気・空調・衛生・消火設備について発注者として設計監理業務を行い、それらの工事計画を社内外の関係者と協同してまとめ、常に安全を最優先し計画通りにプロジェクトを完了させます。すべての関係者に敬意を払い優れたコミュニケーション能力と、折衝力を持ち合わせていることが求められます。さらに、自身の高い技術力を生かし、FC/SC/SSDにおける設計標準を見直し、社内関係者と合意を取ったうえでベストプラクティスとしてリーダーシップに提案することが求められ、ビジネスに対して大きな影響を持つ仕事を担っていただきます。 A day in the life 新規FC/SC/SSD新規開所プロジェクトにおいて複数のプロジェクトを同時に担当していただきます。計画フェーズでは、自身の担当プロジェクトの実施承認を得るために、設計提案、コスト、スケジュールなどの計画をまとめます。工事フェーズでは発注者として工事監理を行い、安全に計画通り進捗しているか確認します。部内定例ミーティングとチームミーティングがそれぞれ週1回開催されており、そこで情報共有を図っています。出張など所属サイト以外での勤務は平均すると週2回程度あり、遠隔地の場合は宿泊を伴う出張もあります。また、フレックス勤務を導入し、個人のライフイベントを迎えながらキャリアを長期的に築いていける環境もあります。 About the team Facility Design & Construction(建築設計・工事監理部)は、建築や建築設備の技術者として、新規のFC/SC/IXD/SSD/AGL/MoD/DS の設計や既存FC/SC/IXD/SSD/AGL/MoD/DS の改修工事を計画、実行するチームです。新規FC/SC/IXD/SSD/AGL/MoD/DS では、建物のレイアウトや建築、設備の設計を行い、プロジェクト全体の工程を守り、コスト管理を行いながら安全で生産性の高い建物を作ります。既存FC/SC/IXD/SSD/AGL/MoD/DS の改修工事では、生産性向上のための設備変更や、経年による老朽化対策の設備更新などを企画し、プロジェクトのオーナーとして品質、コスト管理しながらプロジェクト完了まで導きます。今回の募集ポジションではFC/SC/SSDの工事を担当いただきますが、設計標準の最適化や工事監理の標準化など部内全体で行う業務にも取り組んでいただきます。 Basic Qualifications: - ・建築、電気、空調、衛生、防災設備について少なくとも3分野以上の高度な知識・経験 - ・一級建築士、一級施工管理技士、もしくは同等レベルの専門知識 - ・発注者側での10年以上の工事監理経験もしくは請負工事会社での10年以上の施工管理経験 - ・10億円以上のプロジェクトの現場代理人、主任技術者経験 - ・PCスキル（Word, Excel, Power point） - ・ビジネスレベルの日本語力（会議が進行できる、ビジネス文書がかける） Preferred Qualifications: - 大規模な新築・改修工事現場での施工管理経験者　延床3万㎡以上 - 自身のアイデアで画期的なVE/CDを推進したご経験 - 建築、電気、管工事における一級施工管理技士もしくは同等の知識と経験 - CADでの作図経験およびPCスキル（Auto CAD） - ビジネスレベルの英語力（会議が進行できる、ビジネス文書がかける） Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Facility Design & Construction Advanced Engineer, Facility Design & Construction at Amazon Japan G. K.. Skills: Facility design, Construction management, Electrical systems, HVAC systems. Manage design and construction for new FC/SC/SSD openings. Oversee construction of buildings and facilities", "postedDate" : "2026-06-12T23:09:47.979", "createdAt" : "2026-06-12T23:09:47.979", "lastUpdated" : "2026-06-14T23:57:46.055", "ingestTimestamp" : "2026-06-12T23:09:47.979", "mongoId" : "69164daa70f0b99d586f344e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121788/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Construction management", "Design management", "Safety management", "Quality management", "Schedule management", "Leadership", "Facility design", "Electrical systems", "HVAC systems", "Cost management", "Budget management", "Cost reduction proposals", "Vendor discovery", "Payment processing", "Logistics process design", "Building systems", "Electrical equipment", "HVAC equipment", "Sanitation equipment", "Fire fighting equipment", "Logistics facilities", "Fulfillment centers", "Sort centers", "Sub same-day facilities", "Class 1 Architect", "Class 1 Construction Manager", "Auto CAD" ], "skillCount" : 27, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca03274d8ee00a09a180c", "title" : "Product Engineering - Staff Software Engineer", "company" : "Sprinter Health", "industry" : "Sprinter Health", "salary" : { "min" : 220000.0, "max" : 255000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "timestamp" : "2026-06-16T02:47:44.519", "fingerprint" : "c88fcd6a60a052ea8201f3701f3b9bd79d7fdaa1df7062c6559ac1b8cea4754e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/7c9cd84e-c3a4-46d8-9006-18573d40aa66/application", "externalId" : "7c9cd84e-c3a4-46d8-9006-18573d40aa66", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. About the Role We’re looking for a Senior Backend or Full-Stack Software Engineer (5+ years experience) who wants to build the core systems that power last-mile healthcare delivery. At Sprinter, you’ll work on products that blend logistics, patient experience, safety, and medical operations—building and scaling backend services, data flows, integrations, and in-product experiences that directly determine whether patients get care. From routing clinicians and powering booking flows to integrating medical devices and preventing clinical errors, you’ll own complex, high-impact systems from 0→1. If you want to solve real problems with code and ship product that changes access to care, this is that role. Office Location: We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed. What you will you do: - Design and build backend services and APIs that power patient booking, clinician routing, logistics, and device integrations - Ship full-stack product features end to end, from data modeling and business logic to UI and user flows (if full-stack) - Solve complex operational challenges like scheduling, dispatch, safety checks, and error prevention at scale - Integrate with external health systems, telemedicine platforms, and medical devices in a reliable, secure way - Work closely with product, data, ops, and clinical teams to turn real-world problems into shipped software - Own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale What you have done: - Spent 8+ years building and scaling backend or full-stack systems in production - Experience mentoring engineers and overseeing large scale projects - Designed APIs, data models, and services that power real user-facing products - Led projects or pods end to end — from architecture and planning to delivery and iteration - Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance - Shipped features independently and in collaboration with product, data, ops, or design partners - Built in environments where speed, reliability, and ambiguity coexist — startups, high-growth teams, or 0→1 products - Made technical decisions that balanced execution speed, scalability, and long-term maintainability What gives you an edge: - You’ve built or scaled products in health tech, logistics, or other operationally complex environments - You understand supply/demand dynamics — forecasting, routing, scheduling, or inventory management - You’ve scaled backend systems to support rapid growth, high-volume data, and evolving business needs - You’ve worked in mid- or growth-stage startups (Series A–C) where speed and ambiguity were the norm - You’re comfortable working with data platforms, pipelines, or large-scale data processing - You know your way around regulated environments — HIPAA, security, and privacy best practices The Interview Process - We aim to complete the interview process between 2-3 weeks. It will usually consist of: - Recruiter Screen (30-Minutes) - Hiring Manager Introduction (30-Minutes) - Technical Assessment (45-Minutes) - Onsite Interview: Systems Design + Behavioral Interview + Lunch with the Team (3-hours) - References What we offer - Meaningful pre-IPO equity - Medical, dental, and vision plans 100% paid for you and your dependents - Flexible PTO + 10 paid holidays per year - 401(k) with match - 16-week parental leave policy for birthing parent, 8 weeks for all other parents - HSA + FSA contributions - Life insurance, plus short and long-term disability coverage - Free daily lunch in-office - Annual learning stipend Our Technology Stack - Serverless AWS (AppSync, DynamoDB, Lambda, Amplify, CloudFormation, Node) - React Native, React Native for Web - GraphQL - Typescript - Javascript - Node.js http://Node.js Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. 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true, "estimation_basis" : "Market baseline for a Staff Visual Design Manager in San Francisco, adjusted for lead seniority and manager experience in the technology industry." }, "location" : "[San Francisco, CA, USA, [345 Spear St, San Francisco, CA 94105, USA], San Francisco, 94105, CA, US]", "locations" : [ "[San Francisco, CA, USA, [345 Spear St, San Francisco, CA 94105, USA], San Francisco, 94105, CA, US]", "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T11:22:49.046", "fingerprint" : "a4f25e1e3ee9300eed9a0ffa04e9dcb9cca62bb68a83b9652d2593f9a8a811ff", "source" : "google", "language" : "en", "externalId" : "80230448604553926", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "summaryDescription" : "Staff Visual Design Manager", "postedDate" : "2026-06-16T01:48:10.364", "createdAt" : "2026-06-16T01:48:10.364", "lastUpdated" : "2026-06-16T11:22:49.046", "ingestTimestamp" : "2026-06-16T01:48:10.364", "mongoId" : "6a210e3774d8ee00a0af64b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b5d74d8ee00a094954c", "title" : "Staff Engineer, Digital ASIC Design (CONTRACT)", "company" : "Butterfly Network", "industry" : "Manufacturing", "salary" : { "min" : 200000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer, Digital ASIC Design in Burlington, United States, adjusted for lead seniority and contract employment type." }, "location" : "Burlington, Massachusetts, United States", "locations" : [ "Burlington", "Massachusetts", "United States", "New York", "New York", "United States", "Other", "United States - Remote" ], "timestamp" : "2026-06-15T08:02:56.148", "fingerprint" : "0d51017d8b9e30fb71f9da195952c97a1c7f78a79c2099227fbd2749fd35b4c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.butterflynetwork.com/careers?gh_jid=7753344003", "externalId" : "7753344003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burlington", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.5048167,-71.1956111" } ], "locationText" : "Burlington, Massachusetts, United States", "employmentType" : "CONTRACT", "minimumEducation" : "BS/MS/PhD", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "RTL, SystemVerilog, Verilog, Python, UVM", "professionalSkills" : [ "Silicon design", "ASIC design", "SoC design", "RTL implementation", "Verification closure", "Tapeout support", "Datapaths design", "Interface design", "Algorithm implementation", "Processor integration", "Data paths", "Design constraints", "Clock architecture", "Reset architecture", "CDC mitigation", "RDC mitigation", "Power-aware design", "PPA tradeoffs", "Reference models", "Post-silicon debug", "Silicon correlation", "Hardware-firmware interfaces", "Register maps", "Control paths", "Status paths", "Data-plane contracts", "DSP pipelines", "Fixed-point design", "Compute subsystems", "Memory tradeoffs", "Bandwidth tradeoffs" ], "hardSkillsList" : [ "RTL design", "Digital IC design", "ASIC design", "SoC 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Design, RTL Design, SoC Design, Verification Closure", "majorSkillsList" : [ "Digital ASIC Design", "RTL Design", "SoC Design", "Verification Closure" ], "coreResponsibilities" : "Design RTL for large SoCs, Develop low-power RTL, Implement signal processing algorithms in RTL, Optimize signal processing algorithms in RTL, Integrate embedded processor cores, Develop high bandwidth on chip data paths, Support post-silicon bring-up/debug, Support silicon correlation, Root-cause issues, Deliver fixes, Close hardware–firmware interfaces, Define register maps, Define control/status paths, Define data-plane contracts", "teamCollaboration" : "Collaboration with verification; Cross-functional communication; Partnering with firmware; Partnering with validation; Stakeholder communication", "domainKnowledge" : "Digital ASIC Design; SoC Logic; Digital Signal Processing; High Speed Interfaces; Advanced Node Silicon; Silicon Design Constraints; Ultrasound Systems; Medical Imaging; Data Acquisition Pipelines; Image Quality KPIs; Programmable Compute Subsystems", "domainList" : [ "digital-asic-design", "soc-logic", "digital-signal-processing", "high-speed-interfaces", "advanced-node-silicon", "silicon-design-constraints", "ultrasound-systems", "medical-imaging", "data-acquisition-pipelines", "image-quality-kpis", "programmable-compute-subsystems" ], "domainSpecificKnowledge" : [ "Digital ASIC Design", "SoC Logic", "Digital Signal Processing", "High Speed Interfaces", "Advanced Node Silicon", "Silicon Design Constraints", "Ultrasound Systems", "Medical Imaging", "Data Acquisition Pipelines", "Image Quality KPIs", "Programmable Compute Subsystems" ], "toolProficiency" : [ "SystemVerilog", "Verilog", "Python", "UVM", "Cocotb" ], "communicationSkills" : "Cross-functional communication", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root-cause issues; Troubleshooting", "qualificationsBasic" : "BS/MS/PhD in EE/CE, 8+ years digital IC/ASIC/SoC design, Hands-on RTL ownership, Major-IP or full-chip tapeout cycle, IP/subsystem ownership, Micro-architecture and RTL implementation, Verification closure and tapeout support, RTL skills in SystemVerilog/Verilog, Pipelined datapaths, Control logic/state machines, High-throughput streaming interfaces, Sustained high-throughput datapaths, Buffering/FIFOs, Arbitration/ack/pressure, Bandwidth budgeting, SRAM/memory interface considerations, Silicon-level design constraints, Clock/reset architecture, CDC/RDC risk mitigation, Power-aware design, PPA tradeoffs, Collaboration with verification, Functional closure through signoff, Bit-accurate reference models, Python for reference models, Validate fixed-point behavior, End-to-end checking, Post-silicon bring-up/debug, Silicon correlation, Root-cause issues and deliver fixes, Cross-functional communication, Close hardware–firmware interfaces, Register maps, Control/status paths, Data-plane contracts", "qualificationsPreferred" : "Compute-intensive DSP pipelines, Beamforming, Filtering, Noise reduction, MAC-heavy datapaths, Fixed-point design discipline, Ultrasound systems, Medical imaging systems, Sensor data acquisition pipelines, Image-quality KPIs, Advanced-node experience (28nm or smaller), Timing sensitivity, Third-party IP integration, Programmable compute subsystems integration, MPU/accelerator integration, Control interfaces, Memory/bandwidth tradeoffs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Description The role of the Staff Digital ASIC Designer offers the opportunity to work within the heart of the product development team and founders and to own the core of what will set Butterfly Network apart. This individual will design, implement, and verify digital signal processing, high speed interface, and system-on-a-chip logic for a suite of next-generation products. As part of our team, your core responsibilities will be: Develop low-power RTL for large SoCs in an advanced node. Implement and optimize signal processing algorithms in RTL. Integrate multiple embedded processor cores into a large design. Develop efficient high bandwidth on chip data paths. Other Technology, Architecture, & Productivity duties as assigned Qualifications Baseline skills/experiences/attributes: BS/MS/PhD in EE/CE (or equivalent practical silicon design experience). 8+ years (typical Staff level) in digital IC / ASIC / SoC design with substantial hands-on RTL ownership and at least one major-IP or full-chip tapeout cycle. Proven ownership of a defined digital IP/subsystem from micro-architecture and RTL implementation through verification closure and tapeout support. Strong RTL skills in SystemVerilog/Verilog, including pipelined datapaths, control logic/state machines, and high-throughput streaming interfaces. Experience designing sustained high-throughput datapaths, including buffering/FIFOs, arbitration/backpressure, bandwidth budgeting, and SRAM/memory interface considerations. Strong understanding of silicon-level design constraints, including clock/reset architecture, CDC/RDC risk mitigation, power-aware design, and PPA tradeoffs. Effective collaboration with verification to drive functional closure through signoff (SV/UVM and/or Python-based frameworks such as cocotb). Experience building and using bit-accurate reference models (e.g., Python) to validate fixed-point behavior and enable end-to-end checking. Experience supporting post-silicon bring-up/debug and silicon correlation, partnering with firmware/validation to root-cause issues and deliver fixes. Strong cross-functional communication to close hardware–firmware interfaces (register maps, control/status paths, data-plane contracts) with systems/firmware stakeholders. Ideally, you also have these skills/experiences/attributes (but it’s ok if you don’t!): Experience implementing compute-intensive DSP pipelines (e.g., beamforming, filtering, noise reduction, MAC-heavy datapaths) with fixed-point design discipline. Exposure to ultrasound / medical imaging systems or sensor data acquisition pipelines and image-quality KPIs. Advanced-node experience (28nm or smaller), including timing sensitivity and third-party IP integration. (Optional, only if this matches the role) Experience integrating programmable compute subsystems (MPU/accelerator), including control interfaces and memory/bandwidth tradeoffs. Values Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in… Patient-Centric Innovators: Our mission is THE mission. Empowered to Impact: Every voice matters. One Team, One Goal: Unity fuels progress. Growth Champions: We embrace challenges. Action-Oriented Achievers: We follow through, every time. Location Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers. This is a hybrid position and will be based out of our office in either the Greater SF Bay Area or Burlington, MA. For this temporary role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship or transfer for employment visa status. Butterfly network does not accept agency resumes for this temporary position. Butterfly Network Inc. is an E-Verify Company and is an equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or", "summaryDescription" : "Staff Engineer, Digital ASIC Design (CONTRACT) at Butterfly Network. Skills: Digital ASIC Design, RTL Design, SoC Design, Verification Closure. Design RTL for large SoCs. 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"llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c687674d8ee00a0903804", "title" : "Core Engineer", "company" : "Rox", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Core Engineer in San Francisco, adjusted for the technology industry and onsite work mode." }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T03:01:41.256", "fingerprint" : "54142f3c9d037f3de91142d642e46841c95666c676355f318f7c381e4dbd9b02", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rox-data-corp/4b784e01-c6e2-4238-a458-0575d839c46e/application", "externalId" : "4b784e01-c6e2-4238-a458-0575d839c46e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Distributed systems, Real-time decisioning, Agent execution frameworks, Semantic retrieval systems, Streaming infrastructure, Knowledge graph architectures, Graph-based retrieval, Semantic search, Streaming compute, AI infrastructure, Orchestration systems", "professionalSkills" : [ "Systems thinking", "Engineering craftsmanship", "Long-term architecture" ], "hardSkillsList" : [ "Networking", "Concurrency", "Storage", "Reliability" ], "hardSkills" : [ { "name" : "Networking", "level" : "intermediate" }, { "name" : "Concurrency", "level" : "intermediate" }, { "name" : "Storage", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" } ], "majorSkills" : "Autonomous agent platform, Distributed systems, Real-time data, AI reliability", "majorSkillsList" : [ "Autonomous agent platform", "Distributed systems", "Real-time data", "AI reliability" ], "coreResponsibilities" : "Build infrastructure for autonomous agent execution, Design systems for deterministic agent behavior, Design systems for auditable agent behavior, Develop low-latency retrieval systems, Develop context systems, Build graph-based infrastructure, Build semantic retrieval systems, Improve observability across agent systems, Improve debugging across agent systems, Improve reliability across agent systems, Work on real-time data ingestion, Work on streaming architectures, Collaborate with platform teams, Collaborate with AI teams, Collaborate with product teams, Shape long-term architecture, Operate foundational infrastructure", "teamCollaboration" : "Platform engineering teams; AI engineering teams; Product engineering teams", "domainKnowledge" : "Real-time OLAP systems; Streaming compute platforms; Distributed databases; Semantic retrieval systems; Deterministic execution infrastructure; High-scale platform engineering; Autonomous execution; Enterprise AI systems; Enterprise constraints", "domainList" : [ "real-time-olap-systems", "streaming-compute-platforms", "distributed-databases", "semantic-retrieval-systems", "deterministic-execution-infrastructure", "high-scale-platform-engineering", "autonomous-execution", "enterprise-ai-systems", "enterprise-constraints" ], "domainSpecificKnowledge" : [ "Real-time OLAP systems", "Streaming compute platforms", "Distributed databases", "Semantic retrieval systems", "Deterministic execution infrastructure", "High-scale platform engineering", "Autonomous execution", "Enterprise AI systems", "Enterprise constraints" ], "problemSolvingSkills" : "Systems intuition; Reason about long-term architecture", "outcomesObjectives" : "Contribute to production systems; Design core systems; Improve core systems; Define technical foundation", "qualificationsBasic" : "Background in distributed systems, Platform engineering background, Experience building high-scale backend infrastructure, Systems fundamentals, Experience with streaming systems, Experience with distributed databases, Experience with real-time infrastructure, Ability to independently design and ship complex technical systems, Product and engineering judgment", "qualificationsPreferred" : "Apache Flink experience, Distributed query engines experience, Real-time OLAP systems experience, Graph retrieval systems experience, Semantic search infrastructure experience, Streaming compute systems experience, Large-scale platform engineering experience, AI infrastructure and orchestration systems experience, Open source contributors, Infrastructure specialists, Technical force multipliers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT ROX Rox https://www.rox.com/?utm_source=chatgpt.com is building the AI-native revenue operating system. Most enterprise software was built for humans operating dashboards. Rox is built for agents operating systems. Instead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise. Agents analyze signals, reason about them, and take action — automatically. To make that possible, we are building infrastructure that combines elements of: - distributed systems - real-time decisioning - agent execution frameworks - semantic retrieval systems - low-latency streaming infrastructure - knowledge graph architectures We’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI. We are building for what enterprise AI systems will require two years from now — not just what exists today. ABOUT THE CORE ENGINEERING TEAM Core Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale. This team sits at the center of Rox’s long-term technical strategy and owns foundational infrastructure across: - agent reliability and orchestration - distributed execution systems - graph-based retrieval infrastructure - streaming and real-time context systems - observability for autonomous workflows - low-latency data and inference pipelines The problems here look less like traditional SaaS application engineering and more like: - real-time OLAP systems - streaming compute platforms - distributed databases - semantic retrieval systems - deterministic execution infrastructure - high-scale platform engineering At Rox, agents continuously: - retrieve context - reason across changing state - trigger actions - update workflows - coordinate across systems Core Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic. THE ROLE We are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox’s autonomous agent platform. This role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability. You might be a fit if you’ve spent time building: - distributed infrastructure - streaming systems - semantic search infrastructure - graph-based retrieval systems - execution runtimes - reliability infrastructure - low-latency backend platforms Or if you’ve historically been “the person” inside your company for difficult infrastructure problems. We care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints. WHAT YOU’LL DO - Build infrastructure for reliable autonomous agent execution - Design systems for deterministic, auditable agent behavior at enterprise SLAs - Develop low-latency retrieval and context systems powering AI workflows - Build and scale graph-based infrastructure and semantic retrieval systems - Improve observability, debugging, and reliability across distributed agent systems - Work on real-time data ingestion and streaming architectures - Collaborate closely with platform, AI, and product engineering teams - Help shape the long-term architecture behind Rox’s agent runtime PROBLEMS YOU’LL WORK ON - Reliability for long-horizon AI workflows - Agent orchestration across distributed systems - Deterministic execution for autonomous systems - Streaming context ingestion and retrieval - Knowledge graph infrastructure - Real-time state synchronization - Low-latency execution pipelines - Enterprise-grade observability for agent systems MUST-HAVE QUALIFICATIONS - Strong background in distributed systems or platform engineering - Experience building and operating high-scale backend infrastructure - Strong systems fundamentals across networking, concurrency, storage, and reliability - Experience with streaming systems, distributed databases, or real-time infrastructure - Ability to independently design and ship complex technical systems - Strong product and engineering judgment PARTICULARLY RELEVANT BACKGROUNDS We’d especially love to speak with engineers who have experience in areas like: - Apache Flink - distributed query engines - real-time OLAP systems - graph retrieval systems - semantic search infrastructure - streaming compute systems - large-scale platform engineering - AI infrastructure and orchestration systems Open source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST FEW WEEKS You understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems. IN YOUR FIRST FEW MONTHS You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance. OVER TIME You help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale. WHY THIS ROLE EXISTS Enterprise AI systems are moving toward autonomous execution. The hard problem is not generating outputs — it’s building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints. We believe this requires a new category of infrastructure engineering. That is the problem space this team exists to solve. LOCATION This role is based onsite in San Francisco. We strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox. If you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.", "summaryDescription" : "Core Engineer at Rox. Skills: Autonomous agent platform, Distributed systems, Real-time data, AI reliability. Build infrastructure for autonomous agent execution. Design systems for deterministic agent behavior", "createdAt" : "2026-06-14T20:16:47.806", "lastUpdated" : "2026-06-16T03:01:41.256", "ingestTimestamp" : "2026-06-14T20:16:47.806", "mongoId" : "6a2c687674d8ee00a0903804", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Networking", "Concurrency", "Storage", "Reliability", "Autonomous agent platform", "Distributed systems", "Real-time data", "AI reliability", "Systems thinking", "Engineering craftsmanship", "Long-term architecture", "Real-time OLAP systems", "Streaming compute platforms", "Distributed databases", "Semantic retrieval systems", "Deterministic execution infrastructure", "High-scale platform engineering", "Autonomous execution", "Enterprise AI systems", "Enterprise constraints" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306ee8f292fd229cfe2d4e", "title" : "Senior Engineer, Test & Evaluation (R5141)", "company" : "Shield AI", "industry" : "X-BAT Engineering - System Engineering & Integrated Test", "salary" : { "min" : 140000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Dallas, Texas", "locations" : [ "Dallas, Texas" ], "timestamp" : "2026-06-16T13:15:57.337", "fingerprint" : "a08035b099426bb2d3cfbcd12c97eaa01abcb4d8ed3dbbbbc4c6c8b83d06ed52", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/ef4ee6b8-9a11-4870-bbbd-1140f1434cef/apply", "externalId" : "ef4ee6b8-9a11-4870-bbbd-1140f1434cef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a driven and hands-on test professional to support aircraft and system testing in a fast-paced aerospace environment on our XBAT program. This role is ideal for someone who enjoys solving complex problems, working closely with cross-functional teams, and seeing projects move from early development through production and flight operations. The right candidate will have experience planning and executing tests for UAV or manned aircraft platforms and be comfortable building test plans and procedures from the ground up. This individual should be organized, adaptable, and detail-oriented, with the ability to manage multiple test activities while maintaining a strong focus on safety, quality, and mission success. ## What you'll do Manage and maintain traceability of test requirements throughout system development, integration, and test execution phases. Plan, coordinate, and execute aircraft/lab test execution activities, including pre-test readiness reviews, test conduct, data collection, and post-test reporting. Coordinate test schedules and support comprehensive test planning activities to ensure alignment with program milestones and objectives. Develop and manage test event sequencing and execution plans throughout the aircraft build and integration lifecycle. Coordinate and oversee ground and flight test execution activities, ensuring adherence to approved procedures, safety requirements, and program objectives. Ensure test activities, methodologies, and deliverables align with engineering, mission, and program requirements. Participate in Test Readiness Reviews (TRRs), test planning meetings, and pre-test briefings to support successful test execution. Develop, maintain, and continuously improve test procedures to enhance accuracy, efficiency, repeatability, and overall execution quality. Investigate, troubleshoot, and evaluate test anomalies, discrepancies, and system performance issues to support timely resolution. Collaborate closely with Test Engineering, Quality Engineering, and cross-functional teams to resolve issues, implement corrective actions, and improve test processes. Drive continuous improvement initiatives focused on increasing test efficiency, execution quality, and operational effectiveness. Support extended work hours, shift work, and weekend operations as required to meet test schedules, flight operations, and program commitments. ## Required qualifications Bachelor's degree in Engineering or related technical field and 5+ years of relevant aerospace, aircraft test, or flight test experience; or equivalent combination of education and experience. Experience planning, executing, and reporting on test activities for UAV, UAS, or manned aircraft systems. Ability to read, interpret, and understand engineering drawings, schematics, and technical documentation. Experience developing aircraft test plans, test procedures, and test documentation for new or modified aircraft systems. Hands-on experience supporting aircraft integration, test, and validation activities in a production or manufacturing environment. Ability to troubleshoot complex aircraft, avionics, and system integration issues during test activities. Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams. Demonstrated attention to detail with a proactive, safety-focused approach to testing and operations. Ability to obtain and maintain a DoD Secret security clearance and any required program access. Willingness to work non-standard hours, including evenings and weekends, as required to support program objectives. Ability to travel domestically to support flight test and customer site activities. ## Preferred qualifications Active DoD Secret security clearance (current preferred) with eligibility to support special access programs. Experience supporting Group 5 UAS/UAV launch, recovery, and flight operations. Hands-on experience with aircraft avionics systems, integration, troubleshooting, and testing. Aircraft maintenance experience supporting military, commercial, or unmanned aircraft platforms. Experience conducting laboratory-based testing, verification, and validation of aircraft systems, subsystems, or components. ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Senior Engineer, Test & Evaluation (R5141) at Shield AI", "postedDate" : "2026-06-15T19:59:02.583", "createdAt" : "2026-06-15T19:59:02.583", "lastUpdated" : "2026-06-16T13:15:57.337", "ingestTimestamp" : "2026-06-16T03:25:08.688", "mongoId" : "6a306ee8f292fd229cfe2d4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "69f2d9ba4c40e2acd18900b4", "title" : "Nondestructive Evaluation (NDE) Engineer", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an NDE Engineer in Houston, adjusted for mid-seniority in the aerospace industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "certifications" : [ "ASNT Level 3 certification" ], "timestamp" : "2026-06-16T01:13:45.564", "fingerprint" : "70ed99f42bb5dde27150a2a88467750c29c66f553b98e61ec542c0c767154a49", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324774", "externalId" : "324774", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "technicalSkills" : "X-ray inspection, Ultrasonic testing, Eddy current testing, Fluorescent eddy current, Eddy current ultrasonic, Phased array, Film inspection, Computed inspection, Digital computed inspection, Laser inspection, Infrared inspection, Machine learning", "professionalSkills" : [ "Procedure development", "Personnel qualification", "Probability of detection", "Inspection procedure qualification", "Failure investigation", "Problem resolution", "Equipment acquisition", "Equipment retirement", "Fracture control" ], "hardSkillsList" : [ "NDE methods", "NDE techniques", "NDE requirements", "NDE plans", "NDE procedures", "NDE reports", "NDE issues", "NDE work activity", "NDE Laboratory operations" ], "hardSkills" : [ { "name" : "NDE methods", "level" : "intermediate" }, { "name" : "NDE techniques", "level" : "intermediate" }, { "name" : "NDE requirements", "level" : "intermediate" }, { "name" : "NDE plans", "level" : "intermediate" }, { "name" : "NDE procedures", "level" : "intermediate" }, { "name" : "NDE reports", "level" : "intermediate" }, { "name" : "NDE issues", "level" : "intermediate" }, { "name" : "NDE work activity", "level" : "intermediate" }, { "name" : "NDE Laboratory operations", "level" : "intermediate" } ], "majorSkills" : "Nondestructive Evaluation, NDE procedures, NDE methods", "majorSkillsList" : [ "Nondestructive Evaluation", "NDE procedures", "NDE methods" ], "coreResponsibilities" : "Prepare NDE requirements, Review NDE requirements, Assess NDE requirements, Prepare NDE plans, Review NDE plans, Assess NDE plans, Prepare NDE procedures, Review NDE procedures, Assess NDE procedures, Prepare NDE reports, Review NDE reports, Assess NDE reports, Plan probability of detection demonstrations, Review probability of detection demonstrations, Assess probability of detection demonstrations, Plan inspection procedure qualification tests, Review inspection procedure qualification tests, Assess inspection procedure qualification tests, Analyze NDE issues, Resolve NDE issues, Complete actions towards resolution, Recommend NDE methods, Recommend NDE techniques, Recommend physical reference standards, Recommend qualification tests, Prepare NDE work activity reports, Present NDE work activity reports, Plan inspections, Conduct inspections, Report inspections, Support NDE Laboratory operations, Support NDE Laboratory maintenance, Recommend state-of-the-art equipment acquisitions, Recommend outdated equipment retirement, Represent NASA NDE/M&P engineering, Perform other duties as required", "teamCollaboration" : "Multidisciplinary team", "domainKnowledge" : "Human space exploration; Deep space exploration; Aerospace materials; Aerospace components; Metallic materials; Nonmetallic materials; Composite materials; Manufacturing processes; Welding; Additive manufacturing; Composite fabrication; Composite repair; Fracture control", "domainList" : [ "human-space-exploration", "deep-space-exploration", "aerospace-materials", "aerospace-components", "metallic-materials", "nonmetallic-materials", "composite-materials", "manufacturing-processes", "welding", "additive-manufacturing", "composite-fabrication", "composite-repair", "fracture-control" ], "domainSpecificKnowledge" : [ "Human space exploration", "Deep space exploration", "Aerospace materials", "Aerospace components", "Metallic materials", "Nonmetallic materials", "Composite materials", "Manufacturing processes", "Welding", "Additive manufacturing", "Composite fabrication", "Composite repair", "Fracture control" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Technical writing", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Occasional travel, Proof of U.S. Citizenship, US Permanent Residency, Complete U.S. government background investigation, Office environment, Inside work, Outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Regular attendance, Ability to work outside normal schedule, Adjust schedule to meet peak periods, Adjust schedule to meet surge requirements", "qualificationsBasic" : "Bachelor's degree in science or engineering, 1 year of direct experience, Hands-on experience in NDE, Basic understanding of NDE procedure assessments, Familiarity with common NDE techniques, Proficiency with standard desktop software MS Office, Oral and written communication skills, Ability to work effectively within a multidisciplinary team", "qualificationsPreferred" : "Ph.D. preferred, 5-10 years of experience in NDE, Formal education in NDE desirable, ASNT Level 3 certification is favorable, Experience supporting NDE development, Experience with NDE simulation software, Familiar with metallic and nonmetallic materials", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Nondestructive Evaluation (NDE) Engineer to join the JETSII Contract! The candidate specializes in some of the NDE methods, such as x-ray inspection, ultrasonic testing, and eddy current testing including development, qualification of NDE procedures, and personnel qualification and certification. Work under this position supports multiple programs, including Commercial Crew Program (CCP). The work includes: Prepare, review, and assess NDE requirements, plans, procedures, and reports covering a broad range of metallic, nonmetallic, and composite materials and manufacturing processes Plan, review, assess, and conduct probability of detection (POD) capability demonstrations and inspection procedure qualification tests Analyze and resolve NDE issues and complete actions towards resolution Recommend NDE methods, techniques, physical reference standards, and qualification tests to satisfy NDE requirements Prepare and present NDE work activity reports for project and program meetings Plan, conduct, and report inspections in support of procedure development, hardware failure investigation, and problem resolution Support NDE Laboratory operations and maintenance through recommendation of state-of-the-art equipment acquisitions and outdated equipment retirement Represent NASA NDE/M&P engineering at government and industry Materials & Processes (M&P) and fracture control forums including technical interchange meetings, working groups, and conferences as required Tasks will involve all NDE methods and techniques with emphasis on fluorescent penetrant; eddy current and eddy current array; ultrasonic, phased array, and EMAT; film, computed, and digital radiography; computed tomography; laser shearography; and infrared thermography; inspection automation; and machine learning applied to aerospace materials and components The position requires occasional travel Perform other duties as required Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor's degree in Engineering with experience in the field or in a related area. Bachelor's degree in science or engineering from an ABET‑accredited university. Hands‑on experience in NDE (internships, coursework) and/or a minimum of 1 year of direct experience. Basic understanding of NDE procedure assessments, development, and problem solving Familiarity with common NDE techniques, including fluorescent penetrant; eddy current and eddy current array; ultrasonic and phased array; radiography; computed tomography; laser shearography; infrared thermography; and inspection automation. Proficiency with standard desktop software applications; MS Office required. Strong oral and written communication skills and the ability to work effectively within a multidisciplinary team. Requisition Preferences: Ph.D. preferred. 5-10 years of experience in NDE. Formal education in NDE is desirable but not necessary if professional NDE training/experience has been obtained. ASNT Level 3 certification is favorable but not required. Previous experience supporting NDE development, test, and evaluation activities for NASA and/or Aerospace projects Experience with use of NDE simulation software applications, e.g., CIVA, ESBeamTool, and POD software, e.g. mh1823 Familiar with metallic and nonmetallic materials and their manufacturing processes, which include welding, additive manufacturing, composite fabrication, and repair. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Nondestructive Evaluation (NDE) Engineer. Skills: Nondestructive Evaluation, NDE procedures, NDE methods. Prepare NDE requirements. Review NDE requirements", "createdAt" : "2026-06-14T18:50:38.514", "lastUpdated" : "2026-06-16T01:13:45.564", "ingestTimestamp" : "2026-06-14T18:50:38.514", "mongoId" : "69f2d9ba4c40e2acd18900b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "NDE methods", "NDE techniques", "NDE requirements", "NDE plans", "NDE procedures", "NDE reports", "NDE issues", "NDE work activity", "NDE Laboratory operations", "Nondestructive Evaluation", "Procedure development", "Personnel qualification", "Probability of detection", "Inspection procedure qualification", "Failure investigation", "Problem resolution", "Equipment acquisition", "Equipment retirement", "Fracture control", "Human space exploration", "Deep space exploration", "Aerospace materials", "Aerospace components", "Metallic materials", "Nonmetallic materials", "Composite materials", "Manufacturing processes", "Welding", "Additive manufacturing", "Composite fabrication", "Composite repair", "ASNT Level 3 certification", "MS Office" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ecc2f74d8ee00a0ebb1d3", "title" : "Staff Design Engineer/Architect, HBM", "company" : "Micron Technology", "industry" : "Manufacturing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Design Engineer/Architect in Richardson, United States, adjusted for seniority, company size, and the technology industry." }, "location" : "Richardson, TX", "locations" : [ "Richardson, TX", "United States of America" ], "timestamp" : "2026-06-16T01:42:13.088", "fingerprint" : "92c99526599bc9b9a26ce37881ed0add7d8c44be1e6ed90bca30ee008c15be2a", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Richardson-TX/New-College-Grad---Design-Architect--HBM_JR93489", "externalId" : "JR93489", "industryFunction" : { }, "locationPoint" : "-35.42787,149.11377", "structuredLocations" : [ { "city" : "Richardson", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.9481789,-96.7297206" } ], "locationText" : "Richardson, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "HBM, DDR, Compute, Memory, Logic, Process technology, Design, Verification, System architecture, SoC, FPGA, ASIC, Python, Perl, Tcl, Verilog, SystemVerilog, C++, Linux, Scripting", "professionalSkills" : [ "System design", "Architecture design", "Technical leadership", "Problem solving", "Data analysis" ], "hardSkillsList" : [ "Memory controller design", "High-speed digital design", "Logic design", "RTL design", "Verification methodologies", "Scripting languages", "Programming languages" ], "hardSkills" : [ { "name" : "Memory controller design", "level" : "intermediate" }, { "name" : "High-speed digital design", "level" : "intermediate" }, { "name" : "Logic design", "level" : "intermediate" }, { "name" : "RTL design", "level" : "intermediate" }, { "name" : "Verification methodologies", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Programming languages", "level" : "intermediate" } ], "majorSkills" : "HBM, DDR, System architecture, Logic design", "majorSkillsList" : [ "HBM", "DDR", "System architecture", "Logic design" ], "coreResponsibilities" : "Design HBM/DDR memory controllers, Develop and implement logic designs, Architect system-level solutions, Lead design and verification efforts, Collaborate with cross-functional teams, Drive technical innovation, Mentor junior engineers, Define and execute verification plans, Debug complex issues, Develop and maintain design documentation, Evaluate new process technologies, Analyze performance metrics", "teamCollaboration" : "Cross-functional teams; Design teams; Verification teams; Product teams; Architecture teams", "domainKnowledge" : "HBM technology; DDR technology; Memory systems; Semiconductor industry; SoC architecture; High-speed interfaces; Process technology", "domainList" : [ "hbm-technology", "ddr-technology", "memory-systems", "semiconductor-industry", "soc-architecture", "high-speed-interfaces", "process-technology" ], "domainSpecificKnowledge" : [ "HBM technology", "DDR technology", "Memory systems", "Semiconductor industry", "SoC architecture", "High-speed interfaces", "Process technology" ], "toolProficiency" : [ "Cadence", "Synopsys", "EDA tools", "Version control", "Bug tracking" ], "communicationSkills" : "Technical presentations; Design reviews; Documentation", "documentationSkills" : "Design documentation; Technical specifications", "continuousLearning" : "Stay current with technology", "innovationCreativity" : "Technical innovation", "problemSolvingSkills" : "Problem solving; Root cause analysis; Debugging", "outcomesObjectives" : "Deliver high-quality designs; Meet project timelines", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree, PhD", "remoteFriendly" : false, "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The HBM Architecture team develops advanced datapath solutions that enable industry‑leading bandwidth, power efficiency, reliability, and scalability for Micron’s next‑generation High Bandwidth Memory (HBM) products. The team collaborates closely across design, PHY, ECC, verification, layout, and system groups to drive innovative logic‑die and core‑die architectures from concept through production. This position focuses on architecting, designing, and optimizing high‑speed datapath circuitry for JEDEC and custom HBM solutions. The role defines complex system requirements, ensures subsystem integration, and supports development through silicon bring‑up while resolving design and program support challenges. **Responsibilities** * Architect, design, and optimize logic‑die and core‑die datapath circuitry for next‑generation HBM products. * Determine system specifications, input/output processes, and working parameters for hardware/software compatibility. * Coordinate subsystem design and integration across multi-functional teams. * Identify, analyze, and resolve system or program support deficiencies. * Develop and recommend corrective actions to ensure robust datapath performance. **Minimum Qualifications** * Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field with 4 years of relevant industry experience. * Experience architecting, designing, or optimizing high‑speed datapath circuitry. * Ability to define and implement complex system requirements, identify issues, analyze root causes, and recommend corrective actions. * Experience determining hardware/software system specifications and I/O processes. * Experience coordinating subsystem design and system integration activities. **Preferred Qualifications** * Master's or PhD in Electrical Engineering, Computer Engineering, or related field * Experience working with JEDEC or custom HBM solutions. * Experience collaborating with design, PHY, ECC, verification, layout, or system engineering teams. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on _[micron.com/careers/benefits](https://www.micron.com/careers/benefits)_. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your _**[right to work click here.](http://www.justice.gov/crt/worker-information)**_ To learn more about Micron, please visit** _[ micron.com/careers](https://www.micron.com/careers)_** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at _[hrsupport_na @micron.com](mailto:hrsupport_na@micron.com)_ or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Staff Design Engineer/Architect, HBM at Micron Technology. Skills: HBM, DDR, System architecture, Logic design. Design HBM/DDR memory controllers. Develop and implement logic designs", "postedDate" : "2026-06-12T21:08:23.392", "createdAt" : "2026-06-14T21:08:23.351", "lastUpdated" : "2026-06-16T01:42:13.088", "ingestTimestamp" : "2026-06-14T21:08:23.351", "mongoId" : "6a2ecc2f74d8ee00a0ebb1d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Richardson-TX/New-College-Grad---Design-Architect--HBM_JR93489", "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Memory controller design", "High-speed digital design", "Logic design", "RTL design", "Verification methodologies", "Scripting languages", "Programming languages", "HBM", "DDR", "System architecture", "System design", "Architecture design", "Technical leadership", "Problem solving", "Data analysis", "HBM technology", "DDR technology", "Memory systems", "Semiconductor industry", "SoC architecture", "High-speed interfaces", "Process technology", "Cadence", "Synopsys", "EDA tools", "Version control", "Bug tracking" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a484774d8ee00a05de956", "title" : "Design Engineer (Advanced Energy Applications)", "company" : "Freeform", "industry" : "Energy", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Design Engineer in El Segundo, United States, adjusted for industry and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-14T20:41:23.090", "fingerprint" : "61927643f3c5e0d5d98354660488bf4263c28801ff0b26b6473ee818271df28d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freeformfuturecorp/jobs/7766596003", "externalId" : "7766596003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Part design", "Energy systems" ], "hardSkillsList" : [ "Manufacturability", "Materials", "Performance tradeoffs", "Tolerances", "Thermal behavior", "Structural behavior" ], "hardSkills" : [ { "name" : "Manufacturability", "level" : "intermediate" }, { "name" : "Materials", "level" : "intermediate" }, { "name" : "Performance tradeoffs", "level" : "intermediate" }, { "name" : "Tolerances", "level" : "intermediate" }, { "name" : "Thermal behavior", "level" : "intermediate" }, { "name" : "Structural behavior", "level" : "intermediate" } ], "majorSkills" : "Part design, Additive manufacturing, Energy hardware", "majorSkillsList" : [ "Part design", "Additive manufacturing", "Energy hardware" ], "coreResponsibilities" : "Drive part design and redesign, Develop deep understanding of component-level requirements, Rethink part design from first principles, Develop and evaluate design concepts, Answer advanced technical questions, Work closely with internal engineering teams, Engage directly with customer engineering teams, Identify and pursue new application spaces", "teamCollaboration" : "Internal engineering teams; Customer engineering teams", "domainKnowledge" : "Advanced energy systems; Power generation; Energy transmission; Energy storage; Nuclear; Hydrogen", "domainList" : [ "advanced-energy-systems", "power-generation", "energy-transmission", "energy-storage", "nuclear", "hydrogen" ], "domainSpecificKnowledge" : [ "Advanced energy systems", "Power generation", "Energy transmission", "Energy storage", "Nuclear", "Hydrogen" ], "innovationCreativity" : "Reimagining what's possible; Designing parts from first principles", "problemSolvingSkills" : "Reason about manufacturability; Reason about materials; Reason about performance tradeoffs", "qualificationsBasic" : "Bachelor's degree in mechanical engineering, 5+ years of experience in a hands-on engineering role within power generation, oil", "workSiteFlexibility" : "Onsite", "rawDescription" : "DESIGN ENGINEER (ADVANCED ENERGY APPLICATIONS) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. Freeform is hiring a Design Engineer focused on advanced energy applications to sit at the intersection of advanced part design and additive manufacturing. This is a deeply technical engineering role responsible for rethinking how energy hardware is conceived, designed, and produced. Not just adapting existing parts for a new process but fundamentally reimagining what's possible when legacy design constraints no longer apply. You will work hands-on with some of the most complex hardware in the industry, identifying where Freeform's platform unlocks performance regimes, architectures, and geometries that were previously impractical or impossible. The ideal candidate is a strong mechanical or energy systems engineer with a deep intuition for part design and a genuine passion for pushing the boundaries of what hardware can do. They understand various advanced energy systems at a component and systems level, can independently reason about manufacturability, materials, and performance tradeoffs, and are excited by the creative challenge of designing parts from first principles. The core draw of this role is the engineering itself - though this person will also engage directly with some of the most sophisticated frontier companies in the energy industry. Responsibilities: Drive part design and redesign across a broad range of energy applications, including: Turbines and rotating machinery for power generation Heat exchangers and thermal management hardware Valves, manifolds, and fluid handling systems Pressure vessels and high-integrity structural components Burners, combustors, and fuel delivery systems Balance-of-plant components for nuclear, hydrogen, and conventional power systems Develop a deep understanding of component-level requirements, performance drivers, and system constraints within energy generation, transmission, and storage programs Rethink part design from first principles - identifying where additive manufacturing enables new geometries, consolidated assemblies, improved performance, or reduced cost and lead time Develop and evaluate design concepts with a strong command of materials, tolerances, thermal and structural behavior, and production considerations Independently answer advanced technical questions related to design tradeoffs, process capabilities, qualification pathways, and production scalability Work closely with internal engineering and operations teams to drive feasibility, refine concepts, and align on execution Engage directly with customer engineering teams to understand application requirements, present design solutions, and build technical credibility Identify and pursue new application spaces where Freeform's technology can deliver step-change improvements over conventional manufacturing Provide field-informed feedback to shape Freeform's product, process, and technology roadmap Basic Qualifications: Bachelor's degree in mechanical engineering or closely related technical discipline 5+ years of experience in a hands-on engineering role within power generation, oil employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Design Engineer (Advanced Energy Applications) at Freeform. 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"llmIndustryConfidence" : 0.98 }, { "id" : "68b706997fc9a711f0f6fe93", "title" : "Lead Mechanical Design Engineer, Data Center Design Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 105100.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "Professional Engineering license", "NCEES Record" ], "timestamp" : "2026-06-15T08:14:04.295", "fingerprint" : "e9c9a9639932226116ef04c847971819a99a73f6eed7d80dd1277eb9f62833e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051137/apply", "externalId" : "3b9ecc21-b563-42cf-9b9c-edcab927790d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Mechanical design, Hydronics, Plumbing design, BIM modeling", "professionalSkills" : [ "Mechanical engineering", "Design engineering", "Construction industry", "Supply chain", "Cost management", "Safety standards", "Security standards", "Equipment specification", "Site selection review", "Commissioning", "International mechanical design" ], "hardSkillsList" : [ "Mechanical distribution systems", "Equipment submittals", "Mechanical systems audits", "Startup procedures" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Mechanical distribution systems", "level" : "intermediate" }, { "name" : "Equipment submittals", "level" : "intermediate" }, { "name" : "Mechanical systems audits", "level" : "intermediate" }, { "name" : "Startup procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Mechanical design, Data center design, Mechanical systems", "majorSkillsList" : [ "Mechanical design", "Data center design", "Mechanical systems" ], "coreResponsibilities" : "Understand user requirements, Design data center mechanical systems, Collaborate with other disciplines, Create construction documents, Specify mechanical equipment, Define site utility requirements, Ensure compliance with city/county requirements, Ensure compliance with building codes, Approve equipment submittals, Define project scopes, Provide technical support, Validate installation, Validate operation, Validate performance, Work on concurrent projects, Travel to sites, Conduct site reviews, Work with field engineers, Perform engineering evaluations, Perform mechanical systems audits, Support startup, Offer creative solutions", "teamCollaboration" : "Work with internal teams; Collaborate with other disciplines; Work with regional vendors; Work with manufacturers; Work with local utilities; Work with local agencies; Work with commissioning teams; Work with international teams", "domainKnowledge" : "Data center infrastructure; Mechanical engineering systems; High volume air handling; Chilled water systems; Evaporative cooling systems; International mechanical design", "domainList" : [ "data-center-infrastructure", "mechanical-engineering-systems", "high-volume-air-handling", "chilled-water-systems", "evaporative-cooling-systems", "international-mechanical-design" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "Mechanical engineering systems", "High volume air handling", "Chilled water systems", "Evaporative cooling systems", "International mechanical design" ], "toolProficiency" : [ "Revit" ], "communicationSkills" : "Communicate technical decisions", "documentationSkills" : "Construction drawings; Schematic design packages", "continuousLearning" : "Continued learning opportunities; Employee development", "innovationCreativity" : "Creative solutions; Out of the box solutions", "problemSolvingSkills" : "Troubleshooting; Engineering evaluations", "specialRequirements" : "20% travel, International travel", "outcomesObjectives" : "Achieve world class uptime; Meet quality requirements; Fall within budgetary requirements", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, 4 years additional qualifying experience, 6+ years design engineering experience, 6+ years construction industry experience, 4+ years Revit experience, Experience applying local codes, Experience applying ICC requirements, Experience applying industry standards", "qualificationsPreferred" : "Experience with data center construction, Experience with critical medical construction, Experience with industrial construction, Experience with oil and gas construction, Experience with large-scale mechanical systems construction, Experience with large-scale power systems construction, Experience with design review processes, Experience with specification development, Experience with design standards development, Experience with submittal review, Ability to read construction documents, Experience with performance-based alternatives, Advance knowledge of mechanical engineering systems, Experience designing high volume air handling systems, Experience designing chilled water systems, Experience designing economization solutions, Experience designing evaporative cooling systems, Professional Engineering license, NCEES Record", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Engineers at Amazon work to design resilient, cost effective mechanical distribution systems. As engineers at Amazon we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon’s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are looking for engineers with hands on mechanical design experience. If you can design a mechanical system, have an understanding of the critical equipment needs for a data center, and understand the constructability of varying designs you may be a good fit. As we grow we are structuring our team to own more of our engineering in house. Engineers will be responsible for taking designs from concept to the permit and construction document set. You must be capable of defining critical equipment specifications and approving equipment submittals. Engineers will directly support construction and be a part of the process from site selection review through commissioning and ultimately turnover. You will be relied on as a subject matter expert in the mechanical engineering field. At Amazon we do highly support continued learning opportunities and focus on continued employee development. At Amazon team work is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors. Amazon has a global presence. Travel will occasionally be necessary but shouldn’t be more than 20%. International support will be part of the job, some international travel may be necessary. Support could consist of working on international teams and could require developing detailed schematic design packages. An understanding of international mechanical design requirements is helpful but not necessary. Key job responsibilities - Work with internal teams to understand user requirements. - Data center mechanical designs and collaboration with other disciplines to create a construction document set. - Creation of designs which meet or exceed our quality requirements and fall within our budgetary requirements. - Work with regional vendors and manufactures to specify the appropriate mechanical equipment. - Work with local utilities to understand and define site utility requirements. - Work with local agencies having jurisdiction to ensure compliance with city/county requirements and building codes. - Review and approval of equipment submittals. - Define project scopes and provide technical support for information requests during construction phases. - Work with commissioning teams to properly validate installation, operation, and performance of mechanical systems. - Ability to work on concurrent projects in multiple geographical regions. - Travel to sites for site review and work with onsite field engineers, engineering evaluations, mechanical systems audits, and startup as needed. - Having fun and offering creative, out of the box solutions. About the team About Team: Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor’s degree in Mechanical Engineering or an equivalent engineering degree in a related field with at least 4 years of additional qualifying experience. - 6+ year of experience in design engineering or the construction industry, related to all aspects of Mechanical, including hydronics, air side duct design, and plumbing design. 4+ years’ experience using Revit for producing Mechanical & Plumbing engineering BIM models and construction drawings. - Experience applying local codes, International Code Council (ICC) requirements, and other Mechanical industry standards, procedures, and methodologies. Preferred Qualifications: • Experience directly related to construction of data centers, critical medical, industrial, construction, oil and gas, or large-scale mechanical and power systems. • Experience with processes of design review, specification, development of design standards, and submittal review. Ability to read and understand construction documents for all trades (design drawings, control diagrams, specifications, etc.). • Experience with performance-based alternatives to prescriptive Mechanical design. Advance knowledge of mechanical engineering systems • Experience designing of high volume air handling systems and controls, chilled water systems and controls, economization solutions and direct/indirect evaporative cooling systems. • Professional Engineering license, NCEES Record Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Lead Mechanical Design Engineer, Data Center Design Engineering at Amazon Data Services, Inc.. Skills: Mechanical design, Data center design, Mechanical systems. Understand user requirements. Design data center mechanical systems", "postedDate" : "2026-06-13T15:07:02.184", "createdAt" : "2026-06-13T15:07:02.184", "lastUpdated" : "2026-06-15T08:14:04.295", "ingestTimestamp" : "2026-06-13T15:07:02.184", "mongoId" : "68b706997fc9a711f0f6fe93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051137/apply", "salaryAnnualMin" : 105100, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical distribution systems", "Equipment submittals", "Mechanical systems audits", "Startup procedures", "Leadership", "Critical thinking", "Mechanical design", "Data center design", "Mechanical systems", "Mechanical engineering", "Design engineering", "Construction industry", "Supply chain", "Cost management", "Safety standards", "Security standards", "Equipment specification", "Site selection review", "Commissioning", "International mechanical design", "Data center infrastructure", "Mechanical engineering systems", "High volume air handling", "Chilled water systems", "Evaporative cooling systems", "Professional Engineering license", "NCEES Record", "Revit" ], "skillCount" : 28, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a307b01f292fd229c042b3d", "title" : "Staff Engineer", "company" : "Emergent Labs", "industry" : "Technology", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Engineer in Bangalore, India, adjusted for executive seniority and technology industry." }, "location" : "Bangalore ", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T10:34:07.636", "fingerprint" : "2d5d40b39790f77e0962239e2b72400a7d7ce8b65af32bb4e1b6e480ada4d3a0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/emergentlabsinc/jobs/4285927009", "externalId" : "4285927009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Go, Python, Java, C++, Rust", "professionalSkills" : [ "Systems engineering", "Technical strategy", "Architecture" ], "hardSkillsList" : [ "Concurrency", "Distributed computing", "Reliability engineering", "Performance engineering", "Fault tolerance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Concurrency", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" }, { "name" : "Performance engineering", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Distributed systems, Autonomous agents, Reliability engineering, Program synthesis, Large-scale infrastructure", "majorSkillsList" : [ "Distributed systems", "Autonomous agents", "Reliability engineering", "Program synthesis", "Large-scale infrastructure" ], "coreResponsibilities" : "Architect Agent Infrastructure, Design systems for autonomous agents, Build for Planetary Scale, Develop backend systems, Develop infrastructure systems, Solve Reliability for Non-Deterministic Systems, Create new approaches for validation, Create new approaches for observability, Create new approaches for debugging, Create new approaches for evaluation, Create new approaches for fault tolerance, Drive Technical Direction, Set architectural standards, Create New Engineering Paradigms, Invent solutions, Raise the Bar, Influence engineering culture, Mentor senior engineers, Help build high-talent-density organization", "teamCollaboration" : "Cross-functional teams; Senior engineers", "domainKnowledge" : "Distributed systems; Autonomous agents; Reliability engineering; Program synthesis; Large-scale infrastructure; Runtime execution environments; Verification and correctness; AI-powered software creation; Non-deterministic systems", "domainList" : [ "distributed-systems", "autonomous-agents", "reliability-engineering", "program-synthesis", "large-scale-infrastructure", "runtime-execution-environments", "verification-and-correctness", "ai-powered-software-creation", "non-deterministic-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Autonomous agents", "Reliability engineering", "Program synthesis", "Large-scale infrastructure", "Runtime execution environments", "Verification and correctness", "AI-powered software creation", "Non-deterministic systems" ], "innovationCreativity" : "Invent solutions", "problemSolvingSkills" : "First-principles thinking; Solving ambiguous problems", "qualificationsBasic" : "9+ years building large-scale distributed systems, Experience owning architecture for critical production infrastructure, Deep expertise in concurrency, Deep expertise in distributed computing, Deep expertise in reliability, Deep expertise in performance, Deep expertise in fault tolerance, History of driving technical strategy across multiple teams, Backend expertise in Go, Backend expertise in Python, Backend expertise in Java, Backend expertise in C++, Backend expertise in Rust", "qualificationsPreferred" : "Experience with AI systems is helpful", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Software engineering is about to change more in the next five years than it has in the last fifty. At Emergent, we're building autonomous coding agents that can generate, test, debug, and deploy production applications directly from plain-language intent. Not copilots. Not code-completion tools. Complete software systems. Since launching publicly, Emergent has grown to: $100M ARR in under 8 months 11 Million+ users across 190+ countries 12 Million+ applications built on the platform $100M+ raised from Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator We're now tackling the hardest problems in AI-powered software creation: How do autonomous agents reliably build production systems? How do we verify correctness when outputs are non-deterministic? How do we build trust, safety, observability, and fault tolerance into systems that reason? How do we orchestrate thousands of AI-driven decisions across distributed infrastructure in real time? These aren't solved problems. There are no playbooks. That's why we're hiring. The Opportunity This is not a traditional Staff Engineer role. You won't be optimizing APIs, managing microservices, or incrementally improving existing infrastructure. You will help define the architecture of systems that can eventually replace large portions of the software development lifecycle itself. You'll work on problems at the intersection of: Distributed systems Autonomous agents Reliability engineering Program synthesis Large-scale infrastructure Runtime execution environments Verification and correctness The systems you build will influence how millions of applications are created. What You'll Own Architect Agent Infrastructure Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve. Build for Planetary Scale Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads. Solve Reliability for Non-Deterministic Systems Create new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply. Drive Technical Direction Set architectural standards across infrastructure, platform, agent runtime, and distributed execution systems. Create New Engineering Paradigms Many of the challenges you'll face don't have established solutions. You'll be expected to invent them. Raise the Bar Influence engineering culture, mentor senior engineers, and help build one of the highest-talent-density engineering organizations in the industry. What We're Looking For We're less interested in specific technologies and more interested in how you've thought about hard systems problems. You likely have: 9+ years building large-scale distributed systems Experience owning architecture for critical production infrastructure Deep expertise in concurrency, distributed computing, reliability, performance, and fault tolerance A history of driving technical strategy across multiple teams Strong backend expertise in Go, Python, Java, C++, Rust, or similar languages You may have worked at companies like Google, Uber, Meta, Databricks, Snowflake, Airbnb, Stripe, Dropbox, Amazon, Microsoft, or exceptional high-growth startups. Experience with AI systems is helpful but not required. Exceptional systems engineers learn fast. Who Thrives Here Engineers who prefer first-principles thinking over established playbooks Builders who want ownership rather than coordination People who enjoy solving ambiguous, unsolved technical problems Engineers who optimize for impact, not titles Individuals who want to help define an entirely new category of software Why This Role Exists The software industry spent decades building tools that help engineers write code. We're building systems that write software. If successful, this will be one of the most important platform shifts in computing. You'll help build the foundation. Compensation Top-of-market salary Employee stock options Direct influence on company and technical direction Opportunity to work alongside repeat founders, Olympiad medalists, and engineers from Google, Amazon, Dropbox, and leading AI companies The best time to join a category-defining company is before the category is defined.", "summaryDescription" : "Staff Engineer at Emergent Labs. Skills: Distributed systems, Autonomous agents, Reliability engineering, Program synthesis, Large-scale infrastructure. Architect Agent Infrastructure. Design systems for autonomous agents", "postedDate" : "2026-06-16T01:20:31.999", "createdAt" : "2026-06-16T01:20:31.999", "lastUpdated" : "2026-06-16T10:34:07.636", "ingestTimestamp" : "2026-06-16T01:20:31.999", "mongoId" : "6a307b01f292fd229c042b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Concurrency", "Distributed computing", "Reliability engineering", "Performance engineering", "Fault tolerance", "Leadership", "Distributed systems", "Autonomous agents", "Program synthesis", "Large-scale infrastructure", "Systems engineering", "Technical strategy", "Architecture", "Runtime execution environments", "Verification and correctness", "AI-powered software creation", "Non-deterministic systems" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d90f774d8ee00a0c38029", "title" : "Senior / Staff Software Engineer, Agentic Engineering", "company" : "Abridge", "industry" : "Builder", "salary" : { "min" : 230000.0, "max" : 290000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "SF Office", "locations" : [ "SF Office" ], "timestamp" : "2026-06-16T02:25:46.604", "fingerprint" : "fe9a851c0fc6aa9b5634a6facb4750d3284d61d8374b776f807ebfb6d0d7a258", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Abridge/5413b10b-532f-46a7-b1f3-d5490d78120e/application", "externalId" : "5413b10b-532f-46a7-b1f3-d5490d78120e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge's platform is scaling fast alongside our expanding customer base and product growth. We're building a new agentic engineering team — one of our top company priorities — reporting directly to our CTO. We're looking for Engineers to help build the agentic infrastructure every engineer at Abridge relies on. You'll work at the intersection of AI tooling, CI/CD and developer experience — building the internal systems and agents that power how we develop and ship software. As an early member of this team, you'll tackle high-impact, high-ambiguity problems spanning CI/CD pipelines, MCP servers, and AI agents. Your work will directly shape how engineers build and deploy across Abridge. This is a rapidly-evolving role that sits at the intersection of AI, developer experience, platform engineering, and healthcare. This is a hybrid role with a minimum of 3 days / week (MWF) in our San Francisco office. Please only apply if you are able to commit to this model and/or willing to relocate to San Francisco. WHAT YOU’LL DO - Build and evolve developer infrastructure: Own CI/CD systems, build tooling, and developer platforms that improve velocity and reliability across engineering. Drive measurable improvements in build/test times, deployment frequency, and onboarding experience. - Design and implement agentic workflows: Build MCP servers, autonomous agents, and AI-assisted tooling that embed AI deeply into the development lifecycle. Help teams integrate these tools effectively into their day-to-day work. - Own the developer experience: Improve the end-to-end developer journey — from local development and testing to deployment and observability. Identify and eliminate friction, treating internal engineers as your customers. - Drive technical excellence: Bring strong systems thinking to architecture and tooling decisions that improve developer ergonomics, feedback loops, and development velocity. - Evaluate and adopt AI tooling: Stay current on AI-powered development tools and guide adoption across the engineering org to deliver measurable productivity gains. WHAT YOU’LL BRING - Strong experience building and evolving CI/CD systems and build tooling (e.g., Bazel, Buck, GitHub Actions, Buildkite, CircleCI). - Hands-on experience with agentic frameworks, MCP servers, LLM tooling, or AI-assisted development workflows. - Experience improving developer experience across local development, CI/CD pipelines, internal tooling, and developer workflows. - Familiarity with production systems in public cloud environments (AWS, GCP, or similar). - Experience with containerized environments, Kubernetes, and modern infrastructure tooling (e.g., ArgoCD, Istio, Atmos). - Strong track record of leveraging AI tools and workflows to materially improve engineering velocity and operational efficiency. - Strong communication skills and ability to collaborate across teams and functions. - Genuine passion for Abridge's mission to improve healthcare in America and across the world. BONUS POINTS IF... - You've built or contributed to an internal developer platform (IDP) at scale. - You have experience with multi-agent orchestration (LangGraph, LangChain, or similar). - You've worked in regulated industries or healthcare environments. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We provide reasonable accommodations throughout the interview process. If you need reasonable accommodation in applying, interviewing, completing any assessment or otherwise participating in the employee selection process, please contact us at accommodations@abridge.com STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions. ", "summaryDescription" : "Senior / Staff Software Engineer, Agentic Engineering at Abridge", "createdAt" : "2026-06-14T18:57:54.609", "lastUpdated" : "2026-06-16T02:25:46.604", "ingestTimestamp" : "2026-06-14T18:57:54.609", "mongoId" : "6a2d90f774d8ee00a0c38029", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 230000, "salaryAnnualMax" : 290000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b3074d8ee00a0948bb3", "title" : "RAG and Evaluation Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior RAG and Evaluation Engineer in the United States, adjusted for the technology industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T06:35:36.771", "fingerprint" : "c8ac4f60b75f957ac89ea39c07d64f795375dcccacb1a7fcf649282f9414c411", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284737009", "externalId" : "4284737009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "TypeScript, Python, RAG, BM25, Embeddings", "professionalSkills" : [ "Benchmarking", "Regression detection" ], "hardSkillsList" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation" ], "hardSkills" : [ { "name" : "Chunking", "level" : "intermediate" }, { "name" : "Hybrid retrieval", "level" : "intermediate" }, { "name" : "Reranking", "level" : "intermediate" }, { "name" : "LLM-as-judge patterns", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" } ], "majorSkills" : "RAG, Evaluation, Retrieval pipelines", "majorSkillsList" : [ "RAG", "Evaluation", "Retrieval pipelines" ], "coreResponsibilities" : "Define metrics, Use AI tooling", "teamCollaboration" : "Fast-paced environment; Collaborative environment", "domainKnowledge" : "Healthcare IT; Legacy modernization", "domainList" : [ "healthcare-it", "legacy-modernization" ], "domainSpecificKnowledge" : [ "Healthcare IT", "Legacy modernization" ], "toolProficiency" : [ "AI tooling", "Agents" ], "innovationCreativity" : "Innovation", "qualificationsBasic" : "Production RAG system, Production retrieval pipelines, Applied evaluation skills, Production experience, Demonstrated experience in remote work", "qualificationsPreferred" : "Code-as-corpus retrieval, Applied IR background, Open-source contributions, Experience integrating feedback loops, Healthcare IT experience, Legacy modernization experience, Public technical writing, Conference talks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a RAG equivalent experience may substitute for the degree requirement. Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). Ability to work in a fast-paced, collaborative environment. Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. Knows when BM25 beats embeddings and when neither is enough. Measures everything they ship; opinions about chunking are backed by benchmarks. Patient with detail; comfortable defining metrics before the team has agreed on them. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong TypeScript or Python. Demonstrated experience in a remote work environment. Nice to Have: Code-as-corpus retrieval (search over source code rather than prose). Applied IR or search-engine background. Synthetic data generation and LLM-as-judge patterns. Open-source contributions to retrieval, eval, or RAG tooling. Experience integrating retrieval feedback loops with production usage. Healthcare IT or legacy modernization domain experience. Public technical writing or conference talks on retrieval or evaluation. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "RAG and Evaluation Engineer at LTS. Skills: RAG, Evaluation, Retrieval pipelines. Define metrics. Use AI tooling", "postedDate" : "2026-06-13T20:58:18.293", "createdAt" : "2026-06-13T20:58:18.293", "lastUpdated" : "2026-06-15T06:35:36.771", "ingestTimestamp" : "2026-06-13T20:58:18.293", "mongoId" : "6a2c7b3074d8ee00a0948bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation", "RAG", "Evaluation", "Retrieval pipelines", "Benchmarking", "Regression detection", "Healthcare IT", "Legacy modernization", "AI tooling", "Agents" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057abf292fd229cf3ccc2", "title" : "Advanced Engineer, Additive Process", "company" : "Hyliion", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Advanced Engineer, Additive Process in Austin, United States, adjusted for senior level and manufacturing industry." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-16T08:31:28.164", "fingerprint" : "69ccf30f116a98753a35ad86a2a329f2406df8104bae9f261e3cbbdcff5267be", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hyliion/jobs/6027150004", "externalId" : "6027150004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. This is an onsite role only. Job Purpose and Overview Step into the world of metal additive manufacturing for the KARNO generator, where advanced laser powder-bed fusion meets real engineering challenge. Engineers in this group work across machine behavior, process optimization, material performance, data analytics, and hardware development to ensure high-quality, repeatable production using metal laser powder-bed fusion systems. If you’re the kind of engineer who enjoys digging into machine behavior, fine-tuning laser strategies, studying how materials evolve layer by layer, and pushing metal AM systems to run cleaner, faster, and more consistently, this team is built for you. The work is hands-on, data-driven, and central to scaling a first-of-its-kind distributed power technology. In this role, you’ll move across the entire additive manufacturing ecosystem. You’ll investigate how machine settings influence melt pools, porosity, and microstructure, and you’ll design controlled experiments to refine parameters and boost repeatability. A big part of the job involves troubleshooting machine quirks, interpreting sensor data, and making sense of real-time process feedback. You’ll also be working closely with design, materials, and hardware teams to bring complex AM components from early prototypes into reliable production. Along the way, you’ll help build the systems, standards, and workflows that turn metal AM into a high-trust, high-reliability manufacturing process for power-generation hardware. Duties and Responsibilities: Parameter Development Focus Identify and optimize critical-to-function (CTF) parameters that drive mechanical performance, density, porosity, microstructure, and repeatability. Design and execute experiments (DOE) to map the process window, understand sensitivities, and reduce variation. Build and maintain parameter sets for new alloys, new hardware, and new machine configurations. Work with sensor data, log files, and monitoring systems to correlate in-process signatures with part quality. Develop statistical models, SPC controls, and trend analysis tools to ensure stable production behavior. Machine Development Focus Improve AM machine capability through hardware tuning, sensor integration, calibration routines, and control-system optimization. Lead machine troubleshooting, repair activities, and upgrades to improve uptime, repeatability, and print speeds. Conduct machine characterization using advanced tools and metrology equipment to map laser optics, powder behavior, thermal gradients, and recoater performance. Support machine-level IQ/OQ/MQ qualification and ongoing PM/maintenance strategies. Collaborate with equipment vendors and internal engineering teams on new machine features, experimental setups, and pilot systems. Drive automation, digital manufacturing, and data-acquisition improvements for machine performance monitoring. Qualifications Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education, Experience and Certifications Required Bachelor’s degree in mechanical, materials science, aerospace, or related engineering discipline. Requires a minimum of 5 years of engineering experience after earning a bachelor’s degree; relevant graduate project work can be applied toward requirements. Direct, hands-on experience with laser powder bed fusion (LPBF) additive manufacturing REQUIRED. Background in fabrication, prototyping, testing, or process development within an engineering environment. Ability to interpret engineering drawings, apply GD and given the nature of our business is also exposed to operations/warehouses/production environments. Physical/Other Requirements Ability to lift and/or move up to 50 pounds. Ability to travel domestically, as needed, by plane, automobile, etc. approximately 30% of the time, Benefits: Medical Plans, with PPO or HDHP options Dental Plans, with buy-up option Vision Plan Life Insurance and Accidental Death & Dismemberment Plans, with buy-up options Short Term Disability, paid for by the company Long Term Disability, paid for by the company Flexible Spending Accounts (FSA) Health Savings Account (HSA) 401k/Roth 401k Voluntary Accident Plans Voluntary Critical Illness Plans Hospital Indemnity Plan Hyliion is proud to be an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, disability, veteran status. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to otherwise participate in the employment selection process, please direct your inquires to Hyliion’s human resources department at HR@hyliion.com.", "summaryDescription" : "Advanced Engineer, Additive Process at Hyliion", "postedDate" : "2026-06-15T23:21:26.742", "createdAt" : "2026-06-15T23:21:26.742", "lastUpdated" : "2026-06-16T08:31:28.164", "ingestTimestamp" : "2026-06-15T23:21:26.742", "mongoId" : "6a3057abf292fd229cf3ccc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca13b74d8ee00a09a4ceb", "title" : "Design Engineer", "company" : "Build AI for the Built World", "industry" : "Product", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City", "locations" : [ "New York City", "London" ], "timestamp" : "2026-06-15T10:11:02.843", "fingerprint" : "411f530679ead83059bb89b66fff986abb7d6dd5d6afc76c0ee103df6bf67fa6", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/build/27cf186a-254d-42dd-a38e-70e7ac11a105/application", "externalId" : "27cf186a-254d-42dd-a38e-70e7ac11a105", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "AI, frontend", "professionalSkills" : [ "AI, software, the future of the built world, institutional real estate, digital infrastructure, energy, industrial projects." ], "hardSkillsList" : [ "frontend craft" ], "softSkillsList" : [ "ownership, accountability" ], "hardSkills" : [ { "name" : "frontend craft", "level" : "intermediate" } ], "softSkills" : [ { "name" : "ownership, accountability" } ], "majorSkills" : "design and build, frontend craft, customer experience, quality, AI", "majorSkillsList" : [ "design and build, frontend craft, customer experience, quality, AI" ], "coreResponsibilities" : "Design and build customer-facing surfaces end to end, including website, marketing pages, demos, portals, workflow interfaces, and dashboards. Maintain a high design standard across all touchpoints to ensure a cohesive brand experience. Translate complex AI capabilities into clear and trustworthy interfaces for institutional clients. Ship critical user-facing elements such as the first-time user experience, core decision paths, and flagship demos. Develop standalone microsites and pages. Collaborate with product and engineering teams to prioritize development based on user leverage and customer impact. Engage with customers to understand their decision-making processes. Pay close attention to small details like exports, emails, empty states, and loading screens. Uphold uncompromising quality standards, ensuring nothing confusing or trust-weakening is shipped.", "teamCollaboration" : "Partner with product and engineering to decide what gets built and in what order. Work closely with James SE. Work with elite teammates who think clearly, execute relentlessly, and take full ownership.", "communicationSkills" : "clear interfaces", "continuousLearning" : "Growth here is not just it reshapes how you operate and in return how Build operates.", "innovationCreativity" : "Inventing a better way to build through a collaboration between human experts and agentic AI. Push the frontier of what's possible.", "problemSolvingSkills" : "system design", "outcomesObjectives" : "Accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion. Automate complex development and acquisitions workflows 90% faster than humans. Deliver a magnitude more deals. Enable people to make decisions, build relationships and create.", "qualificationsBasic" : "Ability to both design and build with frontend craft and taste. Track record of shipping high-quality customer-facing surfaces, products, or websites. Unreasonable about quality, allergic to anything average, confusing, or unfinished. Moves fast without compromising high standards. Owns outcomes end to end and cares about details. Energized by ambiguity and setting design standards at an AI-native company. Cares about AI, software, and the future of the built world.", "qualificationsPreferred" : "Experience designing for complex or technical products, especially AI or data-heavy interfaces. Experience building marketing sites or microsites that performed on their own merit. Experience as a founder, early designer, or early engineer at a high-growth startup. An eye for brand, not just product UX.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT BUILD AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion. Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI. We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create. To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We're backed by c-suite from Blackstone and OpenAI alongside the world's best venture capital firms. Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here. THE ROLE We want you to be extraordinary at raising the standard of everything a customer touches. At Build, product means anything that reaches a customer: website, marketing pages, sales collateral, demos, customer portals, workflow interfaces, dashboards, reports, exports, emails and the smallest details inside our delivered work. This role exists to make all of it excellent. You should be unreasonable about quality. Allergic to anything average, confusing or unfinished, while still moving fast and shipping. You should be able to design and build, with strong frontend craft, real taste and ownership across the full customer experience. You'll own customer-facing surfaces end to end, work closely with James SE, and help define what great design and craft look like at an AI-native company in the built world. WHAT YOU'LL DO - Design and build customer-facing surfaces end to end: website, marketing pages, demos, portals, workflow interfaces, dashboards and the details inside delivered work - Hold a single, high design standard across everything so Build looks, feels and works like one company - Turn complex AI capability into clear, credible interfaces that institutions can understand, evaluate and trust - Ship the most important surfaces personally: first-time user experience, core decision paths and flagship demos - Build microsites and pages strong enough to travel on their own merit - Partner with product and engineering to decide what gets built and in what order, based on user leverage and customer impact - Spend time with customers to understand how decisions get made, approved and defended in real projects - Treat the small details as part of the product: an export, an email, an empty state, a loading screen - Be uncompromising on quality. If it confuses customers or weakens trust, it does not ship EXAMPLE PROJECTS - Ideating and shipping a flagship page end to end: the homepage, a demo page or a microsite strong enough to travel on its own merit - Designing and building the first-time user experience: the surfaces that decide whether an institution understands and trusts the product - Turning a complex agentic workflow into a clear interface a customer can operate and defend internally - Raising the bar on delivered work: redesigning the reports, exports and emails customers actually see - Setting the design standard across product and brand so everything looks and feels like one company WHO WE'RE LOOKING FOR We're looking for someone who can both design and build, with strong frontend craft, real taste and an instinct for what excellent looks like. Someone who treats the smallest details (an empty state, an email, an export) as part of the product. You should be unreasonable about quality: not precious, not slow, but allergic to anything average, confusing or unfinished. You move fast, ship, and own the full customer experience rather than handing it off. YOU MIGHT BE A FIT IF - You can both design and build, with strong frontend craft and the taste to back it - You have a track record of shipping high-quality customer-facing surfaces, product or web - You're unreasonable about quality and allergic to anything average, confusing or unfinished - You move fast and ship; high standards do not make you slow - You own outcomes end to end and care about the details others skip - You're energised by ambiguity and want to set the design bar at an AI-native company - You care about AI, software and the future of the built world THIS PROBABLY ISN'T YOU IF - You can design but cannot build, or build but have no taste - You need tightly scoped specs and cannot operate across the full customer experience - You treat polish as optional or the small details as someone else's job BONUS POINTS - Experience designing for complex or technical products, especially AI or data-heavy interfaces - Experience building marketing sites or microsites that performed on their own merit - Experience as a founder, early designer or early engineer at a high-growth startup - An eye for brand, not just product UX WHAT WE OFFER - Radical autonomy, real ownership. High standards. Minimal bureaucracy. You own problems end-to-end, choose how the work gets done, and are accountable for exceptional outcomes. Ownership is matched with meaningful, generous equity. - An accelerated founder's track. Build is for builders. If you want to learn what it actually takes to create a generational company – product judgment, execution speed, and accountability – there is no faster path than building from zero when everything is for grabs. - Elite teammates, uncompromising bar. You work with people who think clearly, execute relentlessly, and take full ownership. The team you build becomes the company you build. Growth here is not just professional; it reshapes how you operate and in return how Build operates. - Perpetual adventure. We attract the strongest of the strange. Extraordinary experiences are part of the culture - from the food we eat together to the space we occupy. Intensity is intentional. - Shape the built world. We are rebuilding how the physical world gets made. Our software doesn't live in the abstract - it turns into real projects breaking ground because we exist. We work with the largest institutions, push the frontier of AI, and watch our decisions translate directly into the world around us.", "summaryDescription" : "Design Engineer at Build AI for the Built World. Skills: design and build, frontend craft, customer experience, quality, AI. Design and build customer-facing surfaces end to end, including website, marketing pages, demos, portals, workflow interfaces, and dashboards. Maintain a high design standard across all touchpoints to ensure a cohesive brand experience. Translate complex AI capabilities into clear and trustworthy interfaces for institutional clients. Ship critical user-facing elements such", "createdAt" : "2026-06-14T21:41:46.710", "lastUpdated" : "2026-06-15T10:11:02.843", "ingestTimestamp" : "2026-06-14T21:41:46.710", "mongoId" : "6a2ca13b74d8ee00a09a4ceb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 240000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "frontend craft", "ownership, accountability", "design and build, frontend craft, customer experience, quality, AI", "AI, software, the future of the built world, institutional real estate, digital infrastructure, energy, industrial projects." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308de0f292fd229c0a1826", "title" : "Staff Engineer", "company" : "Nagarro", "industry" : "Information Technology And Services", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Lead Staff Engineer in the Technology industry in India, with adjustments for seniority and remote work." }, "location" : "Remote, IN", "locations" : [ "Remote", "IN" ], "certifications" : [ "ServiceNow certification" ], "timestamp" : "2026-06-16T11:39:44.316", "fingerprint" : "599ab0ae3bf6e3575a78c83ba719cea191f6c34e9a0061754e541cae22ef11b6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Nagarro1/744000132167570-staff-engineer", "externalId" : "744000132167570", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "not-applicable", "technicalSkills" : "ServiceNow ITOM, CMDB, Service Mapping, ServiceNow integrations, SPM, GRC, HRSD, ServiceNow scripting, Business Rules, Client Scripts, UI Policies, UI Actions", "professionalSkills" : [ "Technical solutions", "Integration testing", "Stakeholder management" ], "hardSkillsList" : [ "ITIL knowledge", "CMDB data model", "CMDB relationships" ], "hardSkills" : [ { "name" : "ITIL knowledge", "level" : "intermediate" }, { "name" : "CMDB data model", "level" : "intermediate" }, { "name" : "CMDB relationships", "level" : "intermediate" } ], "majorSkills" : "ServiceNow ITOM, Service Mapping, ServiceNow integrations", "majorSkillsList" : [ "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations" ], "coreResponsibilities" : "Implement solutions across global locations, Provide technical expertise in ServiceNow ITOM, Provide technical expertise in Service Mapping, Design ServiceNow integrations, Implement ServiceNow integrations, Understand business needs, Align business needs with standardized processes, Align business needs with system design, Develop technical solutions on ServiceNow, Implement technical solutions on ServiceNow, Perform component integration testing, Ensure quality delivery, Support UAT, Support production deployments, Collaborate with cross-functional teams, Troubleshoot technical issues, Resolve technical issues, Ensure adherence to best practices, Ensure continuous improvement, Participate in design reviews, Participate in code reviews, Provide recommendations", "teamCollaboration" : "Global delivery environment; Cross-functional teams", "domainKnowledge" : "ITOM; Service Mapping; CMDB data model; ITIL", "domainList" : [ "itom", "service-mapping", "cmdb-data-model", "itil" ], "domainSpecificKnowledge" : [ "ITOM", "Service Mapping", "CMDB data model", "ITIL" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Stakeholder management", "problemSolvingSkills" : "Troubleshoot technical issues; Resolve technical issues", "outcomesObjectives" : "Ensure quality delivery; Ensure adherence to best practices; Ensure continuous improvement", "qualificationsBasic" : "5+ years experience in ServiceNow ITOM, 5+ years experience in CMDB, 5+ years experience in Service Mapping, Hands-on experience in ServiceNow integrations, Experience in other modules like SPM or GRC or HRSD, ITIL knowledge, Understanding of ITOM concepts, Understanding of Service Mapping concepts, Ability to translate business requirements into technical solutions, Experience in developing and implementing technical solutions, Experience in performing integration testing, Experience with ServiceNow scripting, Good understanding of CMDB data model, Good understanding of CMDB relationships, Ability to work in a global delivery environment, Bachelor’s or master’s degree in computer science, Information Technology, or a related field", "qualificationsPreferred" : "ServiceNow certification (any module)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDC4B\uD83C\uDFFC We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. REQUIREMENTS: * Experience - 5.5+yrs years * Strong experience in ServiceNow ITOM, CMDB, and Service Mapping * Hands-on experience in ServiceNow integrations * Experience in other modules like SPM or GRC or HRSD along with ITIL knowledge * ServiceNow certification (any module) * Strong understanding of ITOM and Service Mapping concepts * Ability to translate business requirements into technical solutions * Experience in developing and implementing technical solutions and performing integration testing * Experience with ServiceNow scripting (Business Rules, Client Scripts, UI Policies, UI Actions) * Good understanding of CMDB data model and relationships * Strong communication and stakeholder management skills * Ability to work in a global delivery environment RESPONSIBILITIES: * Work with the ServiceNow team to implement solutions across global locations * Provide technical expertise in ServiceNow ITOM module, especially Service Mapping * Design and implement ServiceNow integrations * Understand business needs and align them with standardized processes and system design * Develop and implement technical solutions on the ServiceNow platform * Perform component integration testing and ensure quality delivery * Support UAT and production deployments * Collaborate with cross-functional teams for seamless project execution * Troubleshoot and resolve technical issues * Ensure adherence to best practices and continuous improvement * Participate in design and code reviews and provide recommendations ## Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field", "summaryDescription" : "Staff Engineer at Nagarro. Skills: ServiceNow ITOM, Service Mapping, ServiceNow integrations. Implement solutions across global locations. Provide technical expertise in ServiceNow ITOM", "postedDate" : "2026-06-15T10:43:42.000", "createdAt" : "2026-06-16T03:37:54.223", "lastUpdated" : "2026-06-16T11:39:44.316", "ingestTimestamp" : "2026-06-16T03:37:54.223", "mongoId" : "6a308de0f292fd229c0a1826", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ITIL knowledge", "CMDB data model", "CMDB relationships", "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations", "Technical solutions", "Integration testing", "Stakeholder management", "ITOM", "ITIL", "ServiceNow certification", "ServiceNow" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305452f292fd229cf173c1", "title" : "Staff Engineer", "company" : "Nagarro", "industry" : "Information Technology And Services", "salary" : { "min" : 2800000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff Engineer in the Technology industry in India, adjusted for seniority and remote work." }, "location" : "Remote, IN", "locations" : [ "Remote", "IN" ], "certifications" : [ "ServiceNow certification" ], "timestamp" : "2026-06-16T08:39:04.624", "fingerprint" : "8c7dc1c9fc2311aedf35f74bb173d9eaf4cb3a1040f9c3d5a59098b3137ac262", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Nagarro1/744000132167570-staff-engineer", "externalId" : "744000132167570", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "not-applicable", "technicalSkills" : "ServiceNow ITOM, CMDB, Service Mapping, ServiceNow integrations, SPM, GRC, HRSD, ServiceNow scripting, Business Rules, Client Scripts, UI Policies, UI Actions", "professionalSkills" : [ "Technical solutions", "Integration testing", "Stakeholder management" ], "hardSkillsList" : [ "ITIL knowledge" ], "hardSkills" : [ { "name" : "ITIL knowledge", "level" : "intermediate" } ], "majorSkills" : "ServiceNow ITOM, Service Mapping, ServiceNow integrations", "majorSkillsList" : [ "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations" ], "coreResponsibilities" : "Implement solutions across global locations, Provide technical expertise in ServiceNow ITOM, Provide technical expertise in Service Mapping, Design ServiceNow integrations, Implement ServiceNow integrations, Understand business needs, Align business needs with standardized processes, Align business needs with system design, Develop technical solutions on ServiceNow, Implement technical solutions on ServiceNow, Perform component integration testing, Ensure quality delivery, Support UAT deployments, Support production deployments, Collaborate with cross-functional teams, Troubleshoot technical issues, Resolve technical issues, Ensure adherence to best practices, Ensure continuous improvement, Participate in design reviews, Participate in code reviews, Provide recommendations", "teamCollaboration" : "Global delivery environment; Cross-functional teams", "domainKnowledge" : "ITOM; Service Mapping; CMDB data model; ITIL", "domainList" : [ "itom", "service-mapping", "cmdb-data-model", "itil" ], "domainSpecificKnowledge" : [ "ITOM", "Service Mapping", "CMDB data model", "ITIL" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Stakeholder management", "problemSolvingSkills" : "Troubleshoot technical issues; Resolve technical issues", "outcomesObjectives" : "Ensure quality delivery; Ensure adherence to best practices; Ensure continuous improvement", "qualificationsBasic" : "5+ years experience in ServiceNow ITOM, 5+ years experience in CMDB, 5+ years experience in Service Mapping, Hands-on experience in ServiceNow integrations, Experience in other modules like SPM or GRC or HRSD, ITIL knowledge, Understanding of ITOM concepts, Understanding of Service Mapping concepts, Ability to translate business requirements into technical solutions, Experience in developing and implementing technical solutions, Experience in performing integration testing, Experience with ServiceNow scripting, Good understanding of CMDB data model, Good understanding of CMDB relationships, Ability to work in a global delivery environment, Bachelor’s or master’s degree in computer science, Bachelor’s or master’s degree in Information Technology, Bachelor’s or master’s degree in a related field", "qualificationsPreferred" : "ServiceNow certification (any module)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDC4B\uD83C\uDFFC We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. REQUIREMENTS: * Experience - 5.5+yrs years * Strong experience in ServiceNow ITOM, CMDB, and Service Mapping * Hands-on experience in ServiceNow integrations * Experience in other modules like SPM or GRC or HRSD along with ITIL knowledge * ServiceNow certification (any module) * Strong understanding of ITOM and Service Mapping concepts * Ability to translate business requirements into technical solutions * Experience in developing and implementing technical solutions and performing integration testing * Experience with ServiceNow scripting (Business Rules, Client Scripts, UI Policies, UI Actions) * Good understanding of CMDB data model and relationships * Strong communication and stakeholder management skills * Ability to work in a global delivery environment RESPONSIBILITIES: * Work with the ServiceNow team to implement solutions across global locations * Provide technical expertise in ServiceNow ITOM module, especially Service Mapping * Design and implement ServiceNow integrations * Understand business needs and align them with standardized processes and system design * Develop and implement technical solutions on the ServiceNow platform * Perform component integration testing and ensure quality delivery * Support UAT and production deployments * Collaborate with cross-functional teams for seamless project execution * Troubleshoot and resolve technical issues * Ensure adherence to best practices and continuous improvement * Participate in design and code reviews and provide recommendations ## Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field", "summaryDescription" : "Staff Engineer at Nagarro. Skills: ServiceNow ITOM, Service Mapping, ServiceNow integrations. Implement solutions across global locations. Provide technical expertise in ServiceNow ITOM", "postedDate" : "2026-06-15T10:43:42.000", "createdAt" : "2026-06-15T23:35:56.843", "lastUpdated" : "2026-06-16T08:39:04.624", "ingestTimestamp" : "2026-06-15T23:35:56.843", "mongoId" : "6a305452f292fd229cf173c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ITIL knowledge", "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations", "Technical solutions", "Integration testing", "Stakeholder management", "ITOM", "CMDB data model", "ITIL", "ServiceNow certification", "ServiceNow" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6908583a70f0b99d58ea1273", "title" : "Process/Design Engineer Amazon Logistics, Sr Design Engineering", "company" : "Amazon UK Services Ltd.", "industry" : "Project/Program/Product Management--Non-Tech, Ops Engineering, Logistics", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Process/Design Engineer in London, adjusted for Amazon's size and the logistics industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "certifications" : [ "Lean Six Sigma Green Belt", "Lean Six Sigma Black Belt" ], "timestamp" : "2026-06-15T02:28:34.904", "fingerprint" : "b1c5a41846c3c6b2c0ea591c7b0301c2b8c6144ad44bc1512f77a44c7912bffd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3119659/apply", "externalId" : "e45addbb-ccab-42fd-b077-cc5569507e9e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process development", "Process optimization", "Technology integration", "Layout optimization", "Material flow", "Conveyor positioning", "Equipment requirements", "Real estate implications" ], "hardSkillsList" : [ "Process engineering", "Design engineering", "Project management", "Data analysis" ], "softSkillsList" : [ "Customer focus", "Self-motivation" ], "hardSkills" : [ { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Design engineering", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer focus" }, { "name" : "Self-motivation" } ], "majorSkills" : "Process engineering, Design engineering, Project management", "majorSkillsList" : [ "Process engineering", "Design engineering", "Project management" ], "coreResponsibilities" : "Drive new site designs, Drive legacy site upgrade designs, Integrate automation, Lead technology integration, Drive technology standardization, Own layout integrations, Optimize layouts, Contribute to network standardization, Share best practices, Provide process expertise, Define material flow, Define conveyor positioning, Define equipment requirements, Define real estate implications, Lead strategic initiatives, Identify project opportunities, Improve processes, Improve station designs, Engage stakeholders, Influence stakeholders, Lead end to end design, Improve existing processes, Work with internal stakeholders, Work with external stakeholders, Produce best in class layouts, Optimize existing stations, Present to leadership, Work on automation program, Integrate new technologies, Create mechanisms to improve stations, Develop innovative solutions", "teamCollaboration" : "Local Operations teams; Operational support functions; Functional business teams; Technical teams; Internal stakeholders; External stakeholders; AMZL Operations; Design and construction; Launch and expansion; Safety", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Last mile operation; Delivery Stations; Automation integration; EU-wide programs; Network standardization; Material flow; Industrial environment; Logistics environment; Production environment; Manufacturing environment", "domainList" : [ "last-mile-operation", "delivery-stations", "automation-integration", "eu-wide-programs", "network-standardization", "material-flow", "industrial-environment", "logistics-environment", "production-environment", "manufacturing-environment" ], "domainSpecificKnowledge" : [ "Last mile operation", "Delivery Stations", "Automation integration", "EU-wide programs", "Network standardization", "Material flow", "Industrial environment", "Logistics environment", "Production environment", "Manufacturing environment" ], "communicationSkills" : "Communicate technical details; Communicate with customers; Communicate with project sponsors", "continuousLearning" : "Knowledge sharing; Mentorship", "innovationCreativity" : "Proposing new innovation initiatives; Innovation initiatives; Innovative solutions", "problemSolvingSkills" : "Analytical skills; Data-driven outlook; Design intuition; Operations intuition; Complex design issues", "specialRequirements" : "Up to 25% domestic travel", "outcomesObjectives" : "Improve safety; Improve customer experience; Improve quality; Improve cost", "qualificationsBasic" : "Experience with Six Sigma tools, Experience with Lean techniques, Experience in project management, Resource planning, Managing schedules, Reporting project status, Prioritizing tasks, Bachelor's degree in Operations, Engineering or Logistics, Experience in process development role, Experience in industrial, logistics or production/manufacturing environment", "qualificationsPreferred" : "Lean Six Sigma Green Belt or Black Belt certification, Experience with data analysis, Advanced Excel experience, Database analysis experience, Experience using AutoCAD, Experience using Rhino, Experience using Revit, Experience using SolidWorks, Experience using CREO, Experience using BIM360, Experience using SketchUp, Experience using KeyShot, Experience communicating technical details verbally, Experience communicating technical details in writing, MBA, MSc or MEng", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online. The goal of Amazon Logistics is to build a world class last mile operation. Amazon Logistics aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. The European Amazon Logistics team is seeking an experienced, innovative, hands on and customer obsessed Process Engineer to drive standardization, integrating the latest technologies in our Delivery Stations and proposing new innovation initiatives. As a member of the EU Amazon Logistics Engineering team you will be responsible for designing the new Delivery Stations, whilst also supporting process optimization and new technologies integration in the legacy sites, improving safety, customer experience, quality and cost. You will act as a key point of contact for your area of responsibility in the country you support; frequently partnering with local Operations teams as well as other operational support functions. This position requires deep customer focus, strong self-motivation and exceptional project management skills. It will involve regular communication with customers and project sponsors at both the European and country level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong design and innovation operations intuition. This role will involve frequent domestic travel and you will report into the Manager of the Design Engineering team of the country that you will be supporting. This job is located in the UK with up to 25% of time traveling domestically. Key job responsibilities • Drive new site designs and legacy site upgrade designs from planning to execution, including automation integration. • Lead and drive technology integration and standardization in EU-wide programs and products, owning all layout integrations and optimizations in the assigned Delivery Stations. • Contribute to network standardization via best practice sharing with EU counterparts. • Provide process expertise on engineering design defining material flow, conveyor positioning, equipment requirements and real estate implications from process requirements • Lead strategic initiatives and identify project opportunities to improve the processes and stations designs, engaging and influencing their key stakeholders. A day in the life Successful candidate will lead end to end design for new delivery stations and work to improve existing delivery station processes. You will work with multiple internal and external stakeholders, some of the internal stakeholder include operations, design and construction, launch and expansion, and safety. You will produce best in class layouts for new launches, optimize the existing stations and present to leadership for approval. You will work on automation program to integrate new technologies into legacy stations. You will lead projects to create mechanisms to improve the stations and come up with innovative solutions to the complex design issues. About the team What do we do? Our team partners closely with AMZL Operations and support functions to identify, design and develop best-in-class process infrastructure and process layouts, and deliver them as EU AMZL network standards. Mentorship & Career Growth: We have a broad mix of experience levels and Amazon tenures, and we celebrate knowledge sharing and mentorship. We also care about your career growth, so we assign projects based on what will help each team member to continue the development. Inclusive Team Culture: Our team is intentional about building a climate where respect, equity and positive recognition of differences are cultivated as we think it is the best environment to foster innovation. Work Life Harmony: We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Basic Qualifications: - Experience with Six Sigma tools and Lean techniques - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks - Bachelor's degree in Operations, Engineering or Logistics. - Experience in a similar process development role, ideally in an industrial, logistics or production/manufacturing environment. Preferred Qualifications: - Lean Six Sigma Green Belt or Black Belt certification - Experience with data analysis (including advanced Excel and database analysis) - Experience using one or more of the following CAD technologies: AutoCAD, Rhino, Revit, SolidWorks, CREO, BIM360, SketchUp or KeyShot - Experience communicating technical details verbally and in writing - MBA, MSc or MEng (Logistics, Supply Chain, Engineering, Mathematics or equivalent). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Process/Design Engineer Amazon Logistics, Sr Design Engineering at Amazon UK Services Ltd.. Skills: Process engineering, Design engineering, Project management. Drive new site designs. Drive legacy site upgrade designs", "postedDate" : "2026-06-13T06:15:57.484", "createdAt" : "2026-06-13T06:15:57.484", "lastUpdated" : "2026-06-15T02:28:34.904", "ingestTimestamp" : "2026-06-13T06:15:57.484", "mongoId" : "6908583a70f0b99d58ea1273", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3119659/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Process engineering", "Design engineering", "Project management", "Data analysis", "Customer focus", "Self-motivation", "Process development", "Process optimization", "Technology integration", "Layout optimization", "Material flow", "Conveyor positioning", "Equipment requirements", "Real estate implications", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Last mile operation", "Delivery Stations", "Automation integration", "EU-wide programs", "Network standardization", "Industrial environment", "Logistics environment", "Production environment", "Manufacturing environment", "Lean Six Sigma Green Belt", "Lean Six Sigma Black Belt" ], "skillCount" : 29, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics" }, { "id" : "6a2a660d74d8ee00a062bbb4", "title" : "Sr. ICT Design Engineer, Data Center Design Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Design, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "certifications" : [ "BICSI RCDD Certification", "CDCDP Certification", "DCDC Certification", "CCTT Certification", "CNIDP Certification" ], "timestamp" : "2026-06-15T01:59:09.666", "fingerprint" : "8d72366e4775d131bceefe08589ea597d6f59f0be3ef41b86a508a36566dd308", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442379/apply", "externalId" : "cdd8b186-8172-4f7f-9c59-56f391c4e7a8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Fiber optic, Copper plant, ICT specifications, AutoCAD, Revit, Bluebeam", "professionalSkills" : [ "Technical leadership", "Design strategy", "Engineering standards", "Quality benchmarks", "Cross-discipline coordination", "Infrastructure architecture", "Systems architecture", "Scalability", "Cost-efficiency", "Resilience", "RFP process", "Vendor evaluation", "Consultant management" ], "hardSkillsList" : [ "ICT design", "Data center design", "Fiber optic design", "Copper plant design", "Pathway systems design", "ICT specifications development", "Design reviews", "Quality assurance", "Root cause analysis", "Lessons learned", "Stakeholder engagement", "Requirements gathering", "Emerging technology evaluation", "RFP development", "Bid review", "Scope comprehension" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "ICT design", "level" : "intermediate" }, { "name" : "Data center design", "level" : "intermediate" }, { "name" : "Fiber optic design", "level" : "intermediate" }, { "name" : "Copper plant design", "level" : "intermediate" }, { "name" : "Pathway systems design", "level" : "intermediate" }, { "name" : "ICT specifications development", "level" : "intermediate" }, { "name" : "Design reviews", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Lessons learned", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Requirements gathering", "level" : "intermediate" }, { "name" : "Emerging technology evaluation", "level" : "intermediate" }, { "name" : "RFP development", "level" : "intermediate" }, { "name" : "Bid review", "level" : "intermediate" }, { "name" : "Scope comprehension", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ICT Design Engineering, Data Center Design, Infrastructure Architecture, Technical Leadership", "majorSkillsList" : [ "ICT Design Engineering", "Data Center Design", "Infrastructure Architecture", "Technical Leadership" ], "coreResponsibilities" : "Lead ICT design programs, Own ICT design programs, Lead design reviews, Define engineering standards, Engage with industry suppliers, Engage with standards bodies, Drive adoption of emerging technologies, Lead design development, Lead design delivery, Develop scalable designs, Develop high-performance designs, Develop fiber optic plant designs, Develop copper plant designs, Develop pathway systems designs, Develop ICT specifications, Own ICT architecture, Ensure designs are extensible, Ensure designs are cost-optimized, Align designs with AWS BOD standards, Drive development of ICT design standards, Drive improvement of ICT design standards, Drive development of BOD templates, Drive improvement of BOD templates, Drive development of specification sections, Drive improvement of specification sections, Drive development of QA/QC checklists, Drive improvement of QA/QC checklists, Identify cross-discipline coordination challenges, Resolve cross-discipline coordination challenges, Remove bottlenecks impacting project delivery, Take long-term view of infrastructure design, Balance project needs against global consistency, Balance project needs against future scalability, Define ICT engineering best practices, Enforce ICT engineering best practices, Define design standards, Enforce design standards, Define quality benchmarks, Enforce quality benchmarks, Lead design milestone reviews, Conduct design milestone reviews, Provide technical feedback, Elevate design quality, Review ICT pathway submittals, Approve ICT pathway submittals, Review cabling submittals, Approve cabling submittals, Review equipment submittals, Approve equipment submittals, Ensure compliance with AWS standards, Ensure compliance with applicable codes, Ensure compliance with project-specific requirements, Drive root-cause analysis for design deficiencies, Lead programmatic initiatives to resolve deficiencies, Leave systems better, Leave systems simpler, Leave systems easier to maintain, Contribute to Correction of Errors processes, Lead Correction of Errors processes, Contribute to Lessons Learned reviews, Lead Lessons Learned reviews, Translate findings into BOD improvements, Translate findings into standards improvements, Serve as primary ICT technical point of contact, Engage directly with Design Managers, Engage directly with TPMs, Engage directly with Construction Managers, Engage directly with Security Engineers, Engage directly with partner discipline leads, Collaborate with Security discipline, Collaborate with Electrical discipline, Collaborate with Civil discipline, Collaborate with Architectural discipline, Ensure ICT pathway designs are coordinated, Ensure cabling designs are coordinated, Ensure ICT pathway designs are constructible, Ensure cabling designs are constructible, Partner with SPEAR, Partner with DCESS, Partner with AWS security stakeholders, Ensure ICT designs support physical security integration, Engage cross-functionally with stakeholder teams, Gather technical requirements, Align on constraints, Develop infrastructure designs, Meet organizational objectives, Meet operational standards, Engage with industry suppliers, Engage with manufacturers, Engage with standards bodies, Define product requirements, Evaluate emerging technologies, Influence AWS procurement strategy, Support RFP process, Develop ICT scope requirements, Review vendor bids, Provide technical input on consultant selection, Provide technical input on scope comprehension, Identify new ICT technologies, Evaluate new ICT technologies, Champion new ICT technologies, Drive cross-discipline design coordination", "teamCollaboration" : "Cross-discipline coordination; Partner with SPEAR; Partner with DCESS; Partner with AWS security stakeholders; Engage with Networking stakeholders; Engage with Hardware Engineering; Engage with Network Deployment; Engage with Operations; Engage with Capacity Planning", "projectManagementSkills" : [ "Program management", "Construction administration" ], "domainKnowledge" : "Data center infrastructure; ICT design; Physical security systems; TIA standards; BICSI standards; IEEE standards", "domainList" : [ "data-center-infrastructure", "ict-design", "physical-security-systems", "tia-standards", "bicsi-standards", "ieee-standards" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "ICT design", "Physical security systems", "TIA standards", "BICSI standards", "IEEE standards" ], "toolProficiency" : [ "Microsoft Office Suite", "AutoCAD", "Revit", "Bluebeam" ], "communicationSkills" : "Technical feedback; Technical point of contact", "documentationSkills" : "ICT specifications; BOD templates; Specification sections; QA/QC checklists; Construction drawings; Specifications; Submittal documents", "innovationCreativity" : "Emerging technologies; New ICT technologies", "problemSolvingSkills" : "Root-cause analysis; Identify bottlenecks; Resolve deficiencies", "outcomesObjectives" : "Elevate design quality; Ensure compliance with standards; Ensure compliance with codes; Resolve design deficiencies; Improve systems; Influence procurement strategy; Meet organizational objectives; Meet operational standards", "qualificationsBasic" : "Technical leadership experience, 5+ years ICT design, Experience with fiber optic and copper plant designs, Experience with pathway systems, Experience with ICT specifications, Experience with large-scale data center programs, Experience with new campus greenfield builds, Experience with build-to-suit projects, Experience with colocation environments, Experience with ICT design standards, Experience with BOD templates, Experience with specification sections, Experience with QA/QC checklists, Experience with cross-discipline coordination, Experience with civil systems, Experience with architectural systems, Experience with electrical systems, Experience with mechanical systems, Experience with security systems, Experience with ICT engineering best practices, Experience with design standards, Experience with quality benchmarks, Experience with design milestone reviews, Experience with ICT pathway submittals, Experience with cabling submittals, Experience with equipment submittals, Experience with root-cause analysis, Experience with design deficiencies, Experience with programmatic initiatives, Experience with Correction of Errors processes, Experience with Lessons Learned reviews, Experience with ICT technical point of contact, Experience with Design Managers, Experience with TPMs, Experience with Construction Managers, Experience with Security Engineers, Experience with partner discipline leads, Experience with Security disciplines, Experience with Electrical disciplines, Experience with Civil disciplines, Experience with Architectural disciplines, Experience with ICT pathway designs, Experience with cabling designs, Experience with physical security system integration, Experience with access control, Experience with CCTV, Experience with PIDS, Experience with Networking stakeholders, Experience with Hardware Engineering stakeholders, Experience with Network Deployment stakeholders, Experience with Operations stakeholders, Experience with Capacity Planning stakeholders, Experience with technical requirements, Experience with infrastructure designs, Experience with industry suppliers, Experience with manufacturers, Experience with standards bodies, Experience with TIA, Experience with BICSI, Experience with IEEE, Experience with product requirements, Experience with emerging technologies, Experience with AWS procurement strategy, Experience with RFP process, Experience with ICT scope requirements, Experience with vendor bids, Experience with consultant selection, Experience with scope comprehension, Experience with new ICT technologies, Experience with data center infrastructure, Experience with global engineering organizations, Experience with Architects, Experience with Structural Engineers, Experience with Civil Engineers, Experience with Mechanical Engineers, Experience with Electrical Engineers, Experience with Security Engineers, Experience with Controls Engineers, Experience with ICT design strategy, Experience with ICT design standards, Experience with ICT design quality, Experience with cross-discipline coordination, Experience with ICT engineers, Experience with infrastructure architecture, Experience with ICT design programs, Experience with construction administration, Experience with design reviews, Experience with engineering standards, Experience with industry suppliers, Experience with standards bodies, Experience with emerging technologies, Experience with systems architecture, Experience with architecture level, Experience with scalability, Experience with cost-efficiency, Experience with resilience, Experience with AWS global data center portfolio, Experience with AWS BOD standards, Experience with TIA standards, Experience with BICSI standards, Experience with IEEE standards, Experience with data center builds, Experience with global infrastructure, Experience with AWS, Experience with data centers, Experience with servers, Experience with storage, Experience with networking, Experience with power, Experience with cooling equipment, Experience with supply chain, Experience with software engineers, Experience with hardware engineers, Experience with network engineers, Experience with security experts, Experience with operations managers, Experience with safety standards, Experience with security standards, Experience with infinite capacity, Experience with lowest possible cost, Experience with inclusive culture, Experience with bold ideas, Experience with completion, Experience with Microsoft Office Suite", "qualificationsPreferred" : "Professional Engineering or Architectural License, Experience developing BOD-level design standards, Experience developing master specifications, Experience developing engineering guidelines, Experience with building codes, Experience with AHJ requirements, Experience with permitting processes, Experience carrying design concepts through deployment, Experience reading construction drawings, Experience interpreting construction drawings, Experience producing construction drawings, Experience reading specifications, Experience interpreting specifications, Experience producing specifications, Experience reading submittal documents, Experience interpreting submittal documents, Experience producing submittal documents, Experience with AutoCAD, Experience with Revit, Experience with Bluebeam, Experience engaging with industry standards bodies, Experience contributing to industry publications, Experience contributing to patents, Experience contributing to technical standards, Familiarity with physical security system integration, Experience supporting RFP processes, Experience leading RFP processes, Experience with vendor evaluations, Experience with design consultant management, BICSI RCDD Certification, CDCDP Certification, DCDC Certification, CCTT Certification, CNIDP Certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About AWS Infrastructure Services AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. ________________________________________ About the Role As a Senior ICT Design Engineer (L6), you will serve as a technical leader within a global engineering organization comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, Security, and Controls Engineers. You will be a primary driver of ICT design strategy, standards, and quality across multiple data center builds, regions, and partner teams. At AWS, we're revolutionizing the design of critical communications pathways, spaces, and cabling within our data centers. We're looking for a senior technical leader who can set the standard for ICT design excellence, drive cross-discipline coordination, and accelerate our time to market — while mentoring the next generation of ICT engineers and influencing the broader infrastructure architecture. In this role, you will own complex, multi-site ICT design programs from concept through construction administration. You will lead design reviews, define engineering standards, engage with industry suppliers and standards bodies, and drive the adoption of emerging technologies. Your contributions will have deep and far-reaching impact on partner teams, regional infrastructure architecture, and the overall AWS global data center portfolio. This role offers a rare opportunity to shape the future of ICT design at AWS at a systems and architecture level — where your decisions influence not just individual projects, but the long-term scalability, cost-efficiency, and resilience of AWS infrastructure worldwide. Key job responsibilities Technical Leadership & Design Ownership • Lead the design, development, and delivery of scalable, high-performance fiber optic and copper plant designs, pathway systems, and ICT specifications across multiple simultaneous builds and regions. • Own the ICT architecture for complex, large-scale data center programs — including new campus greenfield builds, build-to-suit (BTS) projects, and colocation environments — ensuring designs are extensible, cost-optimized, and aligned with AWS BOD standards. • Drive the development and continuous improvement of ICT design standards, BOD templates, specification sections, and QA/QC checklists used across the global DE organization. • Identify and resolve complex cross-discipline coordination challenges involving civil, architectural, electrical, mechanical, and security systems, removing bottlenecks that impact project delivery. • Take a long-term view of infrastructure design decisions, balancing short-term project needs against global architectural consistency and future scalability. Standards, Quality & Process Improvement • Define and enforce ICT engineering best practices, design standards, and quality benchmarks across the team and partner organizations. • Lead and conduct design milestone reviews (30%, 60%, 90%, 100%) for ICT systems, providing authoritative technical feedback that elevates design quality across the portfolio. • Review and approve ICT pathway, cabling, and equipment submittals, ensuring compliance with AWS standards, applicable codes, and project-specific requirements. • Drive root-cause analysis for endemic design deficiencies and lead programmatic initiatives to resolve them — leaving systems better, simpler, and easier to maintain. • Contribute to and lead Correction of Errors (COE) processes and Lessons Learned reviews, translating findings into actionable BOD or standards improvements. Cross-Discipline & Stakeholder Collaboration • Serve as the primary ICT technical point of contact for complex projects and regional programs, engaging directly with Design Managers, TPMs, Construction Managers, Security Engineers, and partner discipline leads. • Collaborate with the Security, Electrical, Civil, and Architectural disciplines to ensure ICT pathway and cabling designs are fully coordinated and constructible. • Partner with SPEAR, DCESS, and other AWS security stakeholders to ensure ICT designs support physical security system integration requirements (access control, CCTV, PIDS, etc.). • Engages cross-functionally with stakeholder teams including Networking, Hardware Engineering, Network Deployment, Operations, and Capacity Planning to gather technical requirements, align on constraints, and develop infrastructure designs that meet organizational objectives and operational standards. • Engage with industry suppliers, manufacturers, and standards bodies (TIA, BICSI, IEEE) to define product requirements, evaluate emerging technologies, and influence AWS procurement strategy. • Support the RFP process by developing ICT scope requirements, reviewing vendor bids, and providing technical input on consultant selection and scope comprehension. Innovation & Emerging Technology • Identify, evaluate, and champion new ICT technologies, construction methods, and design approaches that improve infrastructure quality, reduce cost, and accelerate installation timelines. • Lead or contribute to programmatic initiatives that drive innovation across the ICT design portfolio (e.g., unified cabling platforms, modular pathway systems, next-generation fiber architectures). • Stay current on data center technology trends and provide informed recommendations on which technologies are appropriate for AWS facilities and which are not. Mentorship, Hiring & Talent Development • Actively mentor and develop ICT engineers, improving their technical knowledge, design skills, and ability to deliver independently. • Lead and participate in the hiring process, including conducting technical interviews and providing calibrated assessments for ICT engineering candidates. • Provide technical assessments for DCIE promotion evaluations, contributing to the professional development of colleagues across the organization. • Train and onboard new team members on ICT architecture, AWS design standards, and cross-discipline coordination processes. Program Execution & Travel • Identify and respond to design risks and high-priority issues rapidly and effectively, escalating through appropriate channels when required. • Travel 25%+ to conduct site visits, lead in-person design reviews, coordinate with onsite personnel and contractors, and validate ICT infrastructure at AWS data centers globally. Basic Qualifications: - Bachelor's degree in Engineering or a related field - 7+ years of experience in industrial or commercial engineering in mission-critical facilities, including but not limited to: data centers, power generation, or telecommunications infrastructure. - 5+ years of ICT design experience in Mission Critical Environments, with demonstrated ownership of complex, multi-site design programs. - 5+ years of experience developing and leading the production of design documentation (plans, specifications, BOD templates, QA/QC checklists) for construction and/or permitting. - 7+ years of hands-on experience with fiber optic components, cabling, interconnect products, technologies, and applicable standards (TIA-568, TIA-569, TIA-942, BICSI TDMM/OSPDRM). - Demonstrated experience driving engineering standards, design best practices, or process improvements across a team or organization. - Experience leading cross-discipline design coordination in a large-scale infrastructure or construction program. - BICSI RCDD Certification or internationally recognized equivalent (e.g., CDCDP, DCDC, CCTT, CNIDP). - Proficiency with Microsoft Office Suite (Outlook, Word, Excel, PowerPoint). Preferred Qualifications: - Professional Engineering or Architectural License - Experience developing or contributing to BOD-level design standards, master specifications, or engineering guidelines for a multi-site infrastructure portfolio. - Experience with building codes, AHJ requirements, and permitting processes across multiple jurisdictions or regions. - Demonstrated ability to carry design concepts from exploration and development through to deployment or mass production across multiple builds. - Experience reading, interpreting, and producing construction drawings, specifications, and submittal documents at a senior level of ownership. - Proficiency with AutoCAD, Revit, Bluebeam, and MS Office Suite. - Experience engaging with industry standards bodies (TIA, BICSI, IEEE) or contributing to industry publications, patents, or technical standards. - Familiarity with physical security system integration requirements (access control, CCTV, PIDS) as they relate to ICT pathway and cabling design. - Experience supporting or leading RFP processes, vendor evaluations, and design consultant management. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, GA, Atlanta - 136,600.00 - 184,800.00 USD annually USA, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Sr. ICT Design Engineer, Data Center Design Engineering at Amazon Data Services, Inc.. Skills: ICT Design Engineering, Data Center Design, Infrastructure Architecture, Technical Leadership. Lead ICT design programs. Own ICT design programs", "postedDate" : "2026-06-13T06:13:23.456", "createdAt" : "2026-06-13T06:13:23.456", "lastUpdated" : "2026-06-15T01:59:09.666", "ingestTimestamp" : "2026-06-13T06:13:23.456", "mongoId" : "6a2a660d74d8ee00a062bbb4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442379/apply", "salaryAnnualMin" : 136600, "salaryAnnualMax" : 184800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ICT design", "Data center design", "Fiber optic design", "Copper plant design", "Pathway systems design", "ICT specifications development", "Design reviews", "Quality assurance", "Root cause analysis", "Lessons learned", "Stakeholder engagement", "Requirements gathering", "Emerging technology evaluation", "RFP development", "Bid review", "Scope comprehension", "Leadership", "Mentoring", "ICT Design Engineering", "Data Center Design", "Infrastructure Architecture", "Technical Leadership", "Technical leadership", "Design strategy", "Engineering standards", "Quality benchmarks", "Cross-discipline coordination", "Infrastructure architecture", "Systems architecture", "Scalability", "Cost-efficiency", "Resilience", "RFP process", "Vendor evaluation", "Consultant management", "Program management", "Construction administration", "Data center infrastructure", "Physical security systems", "TIA standards", "BICSI standards", "IEEE standards", "BICSI RCDD Certification", "CDCDP Certification", "DCDC Certification", "CCTT Certification", "CNIDP Certification", "Microsoft Office Suite", "AutoCAD", "Revit", "Bluebeam" ], "skillCount" : 51, "jobCategory" : "design", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a694e74d8ee00a063750c", "title" : "Staff Engineer - Physical Design", "company" : "Ambiq Micro, Inc.", "industry" : "Technology", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff Engineer in the Technology industry in Singapore, adjusted for seniority and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-14T08:40:01.489", "fingerprint" : "2cbc57ef0110e647608fb841a98d24644a2d390302992296fbd7ec4b7c7b2cc6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ambiqmicroinc/jobs/4267417009", "externalId" : "4267417009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TCL, Python", "professionalSkills" : [ "Physical design" ], "hardSkillsList" : [ "Netlist to GDS", "Floorplanning", "Placement", "Clock tree synthesis", "Routing", "Physical verification", "DFM", "Timing closure", "IR drop closure", "Signal integrity analysis", "Layout violation resolution", "FinFET", "Multi-patterning" ], "softSkillsList" : [ "Creative problem-solvers", "Technically strong", "Self-driven" ], "hardSkills" : [ { "name" : "Netlist to GDS", "level" : "intermediate" }, { "name" : "Floorplanning", "level" : "intermediate" }, { "name" : "Placement", "level" : "intermediate" }, { "name" : "Clock tree synthesis", "level" : "intermediate" }, { "name" : "Routing", "level" : "intermediate" }, { "name" : "Physical verification", "level" : "intermediate" }, { "name" : "DFM", "level" : "intermediate" }, { "name" : "Timing closure", "level" : "intermediate" }, { "name" : "IR drop closure", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "Layout violation resolution", "level" : "intermediate" }, { "name" : "FinFET", "level" : "intermediate" }, { "name" : "Multi-patterning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative problem-solvers" }, { "name" : "Technically strong" }, { "name" : "Self-driven" } ], "majorSkills" : "Physical design, SoC design, EDA tools", "majorSkillsList" : [ "Physical design", "SoC design", "EDA tools" ], "coreResponsibilities" : "Lead physical design flow, Drive timing closure, Drive IR drop closure, Resolve layout violations, Apply methodology expertise, Work closely with designers, Resolve implementation challenges, Improve physical design methodologies, Improve scripts, Improve flows, Stay current with advancements", "teamCollaboration" : "Cross-functional teams; Middle End teams; DFT teams; Front End teams; ARC teams; Package teams; Synthesis engineers; Stakeholders", "domainKnowledge" : "Low-power semiconductor; Advanced process technologies; Multi-power-domain designs; FinFET process; Multi-patterning process", "domainList" : [ "low-power-semiconductor", "advanced-process-technologies", "multi-power-domain-designs", "finfet-process", "multi-patterning-process" ], "domainSpecificKnowledge" : [ "Low-power semiconductor", "Advanced process technologies", "Multi-power-domain designs", "FinFET process", "Multi-patterning process" ], "toolProficiency" : [ "Cadence Innovus", "Synopsys Fusion Compiler", "Cadence EDA tools", "Synopsys EDA tools" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Innovate", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Deliver high-quality silicon; Meet performance targets; Meet power targets; Meet area targets", "qualificationsBasic" : "Master or Bachelor's degree, 8+ years experience, Physical design flows experience, Hands-on Cadence Innovus, Hands-on Synopsys Fusion Compiler, Solid digital circuit design, Timing closure experience, Power integrity experience, Signal integrity experience, IR drop experience, Proficiency with EDA tools, Analytical skills, Problem-solving skills, Communication skills, Ability to work with teams, English fluency, Mandarin fluency", "qualificationsPreferred" : "TCL Python experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions. Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications. Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology. We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency. At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve. If that's you, join us — the intelligence everywhere revolution starts here. Scope  Ambiq is looking for a Physical Design Staff Engineer to help bring our advanced SoC designs from netlist to GDS. In this role, you will lead top-level physical implementation and help deliver high-quality silicon that meets challenging performance, power, and area targets. You will work closely with cross-functional teams, including Middle End, DFT, Front End, ARC, and Package teams, to build efficient, manufacturable physical layouts for multi-power-domain designs. This role is well suited for someone who is technically strong, collaborative, self-driven, and excited to work on advanced process technologies and low-power semiconductor products. Responsibilities Lead the physical design flow from netlist to GDS, including floorplanning, placement, clock tree synthesis, routing, physical verification, and DFM. Drive timing closure, IR drop and EM closure, signal integrity analysis, and layout violation resolution. Use industry-standard EDA tools from Cadence and Synopsys for place and route, static timing analysis, physical verification, and signoff analysis. Apply strong methodology expertise in placement and routing for FinFET and multi-patterning process technologies. Work closely with designers, synthesis engineers, DFT engineers, and other stakeholders to resolve implementation challenges. Improve physical design methodologies, scripts, and flows to increase efficiency, consistency, and quality. Stay current with advancements in physical design, EDA tools, and new process nodes. Qualifications Master or Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. At least 8 years of experience in integrated circuit physical design. Strong experience with physical design flows, including floorplanning, placement, routing, clock tree synthesis, and physical verification. Hands-on experience with Cadence Innovus and/or Synopsys Fusion Compiler. Solid understanding of digital circuit design principles. Experience with timing closure, power integrity, signal integrity, IR drop, and EM analysis. Proficiency with industry-standard EDA tools from Cadence and Synopsys. Strong analytical, problem-solving, and communication skills. Ability to work effectively with cross-functional engineering teams. Experience with TCL scripting; Python experience is a plus. Fluency in English and Mandarin is required, as this role involves close collaboration with Chinese engineering counterparts.", "summaryDescription" : "Staff Engineer - Physical Design at Ambiq Micro, Inc.. Skills: Physical design, SoC design, EDA tools. Lead physical design flow. Drive timing closure", "postedDate" : "2026-06-11T18:28:40.556", "createdAt" : "2026-06-11T18:28:40.556", "lastUpdated" : "2026-06-14T08:40:01.489", "ingestTimestamp" : "2026-06-11T18:28:40.556", "mongoId" : "6a2a694e74d8ee00a063750c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Netlist to GDS", "Floorplanning", "Placement", "Clock tree synthesis", "Routing", "Physical verification", "DFM", "Timing closure", "IR drop closure", "Signal integrity analysis", "Layout violation resolution", "FinFET", "Multi-patterning", "Creative problem-solvers", "Technically strong", "Self-driven", "Physical design", "SoC design", "EDA tools", "Low-power semiconductor", "Advanced process technologies", "Multi-power-domain designs", "FinFET process", "Multi-patterning process", "Cadence Innovus", "Synopsys Fusion Compiler", "Cadence EDA tools", "Synopsys EDA tools" ], "skillCount" : 28, "jobCategory" : "design", "jobSubcategory" : "physical-design", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3086f2f292fd229c08488a", "title" : "Staff Engineer", "company" : "ChargePoint", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Engineer in the Technology industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "IN-Karnataka-Bangalore", "locations" : [ "IN-Karnataka-Bangalore" ], "timestamp" : "2026-06-16T11:04:23.918", "fingerprint" : "be4ef0813ae65845c722f61ddd0f2a10c9ee22fd4a4e8270bff97281bec36ec6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.chargepoint.com/about/opportunities/job/?gh_jid=8591782002", "externalId" : "8591782002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "About Us With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality. Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market. At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us. Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come. Reports To Director, NOC Delivery often benefiting from tried-and-true techniques Put user value before tech, learn quickly, work iteratively and naturally seek collaboration Strong communication skills Comfortable working as a team, helping train, guide, and lead others in building projects start to finish Perform code reviews Requirements 8+ years Engineer experience, extensively with Django/Flask, React and relational databases in microservice based architecture Bachelor’s degree in Computer Science, Computer Engineering preferred Strong experience with AWS technologies, including Route53, CloudFront, API Gateway, Aurora RDS, DynamoDB, ElasticCache, EKS, ECS, S3, AWS SDK, Lambda,and SQS Proficient in writing unit and integration test cases and hands-on experience with complete CI/CD tooling, including GIT, CICD tools, and security scans Knowledge of Linux administration, adept at using console commands, scripting, and utilities such as Python and BASH Demonstrated experience in building REST APIs and utilizing OpenAPI/Swagger Spec Proven experience with Agile Development, CI/CD tools, project tracking tools, and familiarity with GRPC, GraphQL, and automation tools like Ansible, Chef, Puppet. Experience in 3 party integrations and custom application development and deployment Proficient in SQL/NoSQL and other databases/persistent stores including: MySQL, Postgres, Redis, DynamoDB, ElasticSearch and MongoDB Experience with BI Tools like Tableau, PowerBI Experiences desired: Experience dealing with large scale, technologically complex accounts which are constantly challenging product capabilities Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization. Location Bangalore , India We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. If there is a match between your experiences/skills and the Company needs, we will contact you directly. ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process. If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com. ChargePoint is an equal opportunity employer. Applicants only - Recruiting agencies do not contact.", "summaryDescription" : "Staff Engineer at ChargePoint", "postedDate" : "2026-06-16T01:21:39.794", "createdAt" : "2026-06-16T01:21:39.794", "lastUpdated" : "2026-06-16T11:04:23.918", "ingestTimestamp" : "2026-06-16T01:21:39.794", "mongoId" : "6a3086f2f292fd229c08488a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05874d8ee00a09a1f65", "title" : "Staff Site Reliability Engineer - Platform Engineering", "company" : "NordVPN", "industry" : "NordVPN", "salary" : { "min" : 28600.0, "max" : 36000.0, "currency" : "PLN", "frequency" : "Yearly" }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T09:01:42.486", "fingerprint" : "9cfce1cfd528c0b7c9cea2124feb244732816e44057dc5665d11909a04c88532", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/2480f603-2be2-4934-80a3-31e42786952c/application", "externalId" : "2480f603-2be2-4934-80a3-31e42786952c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PostgreSQL, MySQL, Redis, OpenSearch, VictoriaMetrics, Nginx, HAProxy, Docker, Linux", "professionalSkills" : [ "Systems architecture", "Service communication", "Data flow", "Resilience patterns", "Infrastructure tooling", "Automation" ], "hardSkillsList" : [ "Linux administration", "Kernel tuning", "Debugging production systems", "Building containers", "Running containers", "Load balancing", "Failover" ], "hardSkills" : [ { "name" : "Linux administration", "level" : "intermediate" }, { "name" : "Kernel tuning", "level" : "intermediate" }, { "name" : "Debugging production systems", "level" : "intermediate" }, { "name" : "Building containers", "level" : "intermediate" }, { "name" : "Running containers", "level" : "intermediate" }, { "name" : "Load balancing", "level" : "intermediate" }, { "name" : "Failover", "level" : "intermediate" } ], "majorSkills" : "Site Reliability Engineering, Platform Engineering, Globally distributed systems, AI tooling", "majorSkillsList" : [ "Site Reliability Engineering", "Platform Engineering", "Globally distributed systems", "AI tooling" ], "coreResponsibilities" : "Design backend services, Operate backend services, Make architectural decisions, Manage full lifecycle, Plan implementation, Implement services, Monitor services, Respond to incidents, Conduct postmortems, Maintain infrastructure tooling, Improve infrastructure tooling, Automate infrastructure, Evaluate AI tooling, Integrate AI tooling", "teamCollaboration" : "Platform engineering team", "domainKnowledge" : "Globally distributed systems; Systems architecture; Service communication; Data flow; Resilience patterns; AI/LLM tooling", "domainList" : [ "globally-distributed-systems", "systems-architecture", "service-communication", "data-flow", "resilience-patterns", "ai-llm-tooling" ], "domainSpecificKnowledge" : [ "Globally distributed systems", "Systems architecture", "Service communication", "Data flow", "Resilience patterns", "AI/LLM tooling" ], "toolProficiency" : [ "GitLab", "Nexus", "Consul", "SaltStack", "Vault", "OpenSearch", "VictoriaMetrics", "Grafana" ], "documentationSkills" : "Documentation", "continuousLearning" : "Training programs; Mentorship; Career-switch opportunities", "innovationCreativity" : "Innovate with industry leaders", "problemSolvingSkills" : "Problem-solver", "qualificationsBasic" : "Designing and operating globally distributed systems, Systems architecture, Linux administration at scale, Docker, Databases, Web servers, load balancing, and failover, Working with dedicated hardware, Python or another scripting/programming language, Familiarity with AI/LLM tooling", "qualificationsPreferred" : "Kubernetes in production environments, SaltStack, Advanced networking", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The world’s most advanced VPN, and a whole lot more. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands. Your impact? Helping millions take back control of their online security, privacy, and data. NordVPN protects millions of users daily through a global edge infrastructure spanning thousands of servers across dozens of countries. The platform engineering team builds and operates the internal backend services that make this possible. We're looking for a Staff Site Reliability Engineer (SRE) to design, build, operate, and improve these systems. This is a high-ownership role - you'll architect solutions, ship them to production. You're the person others rely on when the architecture needs rethinking or a service needs to go from zero to globally deployed. MAIN RESPONSIBILITIES - Design and operate on-demand, globally distributed backend services - Make architectural decisions on how internal services integrate and scale - Manage the full lifecycle: planning, implementation, monitoring, incident response, postmortems - Maintain and improve infrastructure tooling and automation - Contribute to engineering standards, documentation, and operational maturity - Evaluate and integrate AI tooling (LLMs, Claude Code, model integrations) into engineering workflows CORE REQUIREMENTS - Designing and operating globally distributed systems - Systems architecture - service communication, data flow, resilience patterns - Linux administration at scale (systemd, kernel tuning, debugging production systems) - Docker - building, shipping, and running containers in production - Databases - PostgreSQL, MySQL, Redis, OpenSearch, VictoriaMetrics - Web servers, load balancing, and failover (Nginx, HAProxy, or similar) - Working with dedicated/bare-metal hardware - Python or another scripting/programming language - Familiarity with AI/LLM tooling and practical application in engineering workflows BONUS POINTS FOR - Kubernetes in production environments - SaltStack (used heavily internally) - Advanced networking - BGP, anycast, tunneling, traffic engineering TOOLS YOU WILL USE - GitLab - Nexus - Consul - SaltStack - Vault - OpenSearch - VictoriaMetrics - Prefect/Airflow/Dagster - Grafana WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Staff Site Reliability Engineer - Platform Engineering at NordVPN. Skills: Site Reliability Engineering, Platform Engineering, Globally distributed systems, AI tooling. Design backend services. 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Our customers trust us to handle their data with air-tight security measures, which is something that we guarantee. AWS is growing rapidly, and we are looking for a Security Services Manager to join our expanding Infrastructure Operations team. As a Security Services Manager you will be tasked with driving operational security excellence within Data Centers while working with partner teams and leaders. The ideal candidate will manage communications and provide services as required. You will make suggestions on improving electronic surveillance and access controls. You will write and implement security process and procedures. Your position will require you to extract metrics and observe improvements by looking at hard data. The successful candidate must have a proven track record of customer service, possess excellent verbal and written communication skills, and demonstrate good judgment and critical thinking. An ideal candidate for this role will be able to work at all levels, from the theoretical knowledge of physical security principles to the practical application and real-world implementation of processes and measures. You must have a proven record of accomplishment in operations room/center dispatching, data center security operations, physical security, customer service; and the ability to multi-task. Key job responsibilities -You will manage a chat queue, phone communications, generate and/or manage trouble tickets, handle incoming chats, and provide support to customers. -Drive security awareness campaigns aimed at enhancing security vigilance and effectiveness -Experience with workflow ticketing and extraction/development of performance metrics -Configure physical security devices including cameras, readers, and panels. -Support daily operational security across a data center campus -Distill overarching security strategy into daily tactics to reach management goals About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience with physical security best practices which includes the application of physical security systems, investigation techniques and management of contract security guards - 1+ years' experience in an operations center, control room environment, or technical support experience. - 2+ years' experience with intrusion detection (alarm systems) and with video monitoring systems (CCTV). Preferred Qualifications: - 2+ years of overseeing security operations and working with security vendors/contractors experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . 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Are you passionate about technology and AI, understand cloud architectures and platforms, and quick to adopt emerging technologies? Are you adept at working with customers to experiment with innovative approaches and validate technical feasibility? Amazon Web Services (AWS) is looking for experienced and motivated technologists who possess a unique balance of technical depth and excellent interpersonal skills to join the Financial Services Advanced Customer Engineering team. This team is a group of hands-on developers supporting AWS customers to build the first solution adapted to their specific use cases and devices, we help customers create early iterations of products and solutions, often exploring new technical grounds. This role is for a Full-Stack Customer Engineer with a strong focus on building Agentic AI applications and workflows, multi-modal Generative AI applications, containerized cloud native or serverless applications, and modern data & analytics applications including data processing pipelines. A strong preference for hands-on experience with AI-driven software development practices, generative AI technologies, and the ability to create delightful user interfaces and user experiences for our customers. Role Overview At AWS, we have a credo of “Work hard. Have fun. Make history”. In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact. As a Customer Engineer, you will partner with customers to craft highly scalable, flexible, cost-effective, and resilient solutions that address customer business problems and accelerate AWS adoption. You'll shape and build solutions and prototypes across domains including Machine Learning, Agentic Design, Serverless Architecture, multi-modal Generative AI, Modern Data & Analytics solution using Open Table Format such as Apache Iceberg, with most projects exploring the art of the possible using the latest methods, frameworks, services, and models. You will help customers understand Cloud development best practices on AWS and how to best integrate them with their applications. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS with customers ranging from start-ups to established enterprise customers. The ability to connect technology with measurable business value is critical, you will help drive revenue growth and strategic outcomes for customers, influencing adoption decisions and accelerating customer success with AWS. The successful candidate will possess a significant hands-on experience in application development in the Cloud with Serverless and Managed services (preferably with AWS services like Amazon Bedrock, Amazon Bedrock AgentCore, SageMaker AI, SageMaker Unified Service, Open Table Format/Apache Iceberg, Amazon S3 Tables, AWS Glue, AWS Lambda, Elastic Load Balancers, Amazon EC2/ECS/EKS, Amazon Fargate, Amazon RDS, NoSQL databases like Amazon DynamoDB, Amazon API Gateway, Amazon Cognito etc.) and will be capable of developing with customers client applications exposing different types of user interfaces and experiences (e.g Web Front-Ends, Mobile Applications or Alexa Skills). As part of an agile development team, you will support AWS customers to develop prototypes specific to their products and services. You will enjoy keeping your existing technical skills honed and developing new ones so that you can make substantial contributions to in-depth architecture discussions. You will lead efforts to capture and share best-practice knowledge with the AWS solutions architect community. You will also gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture. So if you are someone who innovates, likes solving hard problems, loves programming and working on innovative technology, we would love to have you on the team! Key job responsibilities * Lead trusted relationships with AWS customers' enterprise architects, solution architects, software architects, and software engineers to understand the customer’s technology challenges; dive deep and understand stated, unstated business needs, and challenges. * Working backwards from AWS customer's business needs, create end-to-end solutions, and prototypes addressing technology challenges but also increasing business impact, innovation and agility. * Educate customers of all sizes on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. * Work with AWS customers to convey cloud computing security and risk management best practices. * Work with other teams within AWS to drive customer success. * Capture and share best-practice knowledge amongst the AWS solutions architect community. * Assess security-related knowledge across AWS sales and solutions architecture teams and develop plans to address gaps. * Advocate for and influence the AWS technology strategy for FSI internally and externally, at industry events, meet-ups, and summits. * Develop technical content, such as white papers and reference architectures, that can be used by our customers to assist them in deploying secure cloud-based solutions. * Work with industry groups to influence information security trends in cloud computing. A day in the life During customer prototype and solution development engagements, you'll work backwards to learn about customer outcomes and design innovative solutions that you design, build and test along with, program managers, and specialists to deliver results—serving as project lead on some engagements and contributing part-time on others. Project teams vary based on availability, specialized skills required, and career growth interests. Team members span the US, EMEA, and APAC, with periodic larger meetings to share knowledge and align on goals. You'll also dedicate time to pursue thought leadership initiatives that align with both team objectives and your professional interests. About the team Our team comprises experienced full-stack developers passionate about delivering technical solutions using AWS services in a rapid development environment. We move quickly and support each other through knowledge sharing, building our own tools as readily as we leverage existing ones to achieve the art of the possible—transforming concepts into working prototypes in days and weeks that accelerate our customers toward production. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 4+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 4+ years of software development experience in one or more programming languages such as Java, Python, JavaScript, TypeScript, Rust, Go, or C/C++. - 4+ years experience with Infrastructure as Code (IaC) using one or more IaC toolchain such as Terraform HCL, CloudFormation, AWS CDK, Pulumi. Preferred Qualifications: - Bachelor's degree, or AWS certification, such as, AWS Solutions Architect, or a similar cloud certification - Experience working within software development or Internet-related industries - Experience architecting, migrating, transforming or modernizing customer requirements to the cloud - Proficient in the use of AI coding tools to improve quality and velocity. - Experience working with AWS technologies from a dev/ops perspective - Experience in building frontend UI using web technologies such as HTML, CSS, ReactJS, Angular, Vue or similar frontend frameworks - Background in the financials services industry such as in banking, payments, capital markets, insurance is a plus Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 131,300.00 - 177,600.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually", "summaryDescription" : "Customer Engineer, Advanced Customer Engineering at Amazon Web Services, Inc.", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T20:12:11.902", "lastUpdated" : "2026-06-16T02:29:08.499", "ingestTimestamp" : "2026-06-14T20:12:11.902", "mongoId" : "6a2cc3b474d8ee00a0a0a387", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447663/apply", "salaryAnnualMin" : 144500, "salaryAnnualMax" : 195400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 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Meet business demands, Meet customer demands, Ensure quality service, Review expansion initiatives, Review retrofit initiatives, Review process improvement initiatives, Support associate safety, Support driver safety, Support quality, Support productivity, Support capacity increase, Lead solutions for process issues, Lead improvement projects, Facilitate new solution implementation, Facilitate adoption across teams, Collaborate on feedback, Collaborate on challenges, Collaborate on lessons learned, Collaborate on best practices, Revisit current standards, Revisit current processes, Revisit current deliverables, Collaborate with technology teams, Collaborate with material handling teams, Incorporate new technologies, Incorporate equipment, Incorporate robotics, Incorporate conveyor systems, Incorporate safety devices, Identify mechanisms to increase scale, Identify mechanisms to increase speed, Identify mechanisms to increase quality, Drive long term processes, Enable milestone 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business needs; Meet design deliverables; Exceed design deliverables; Increase scale; Increase speed; Increase quality; Enable critical milestone completions; Mitigate risks; Bring programs back on schedule; Provide robust support", "qualificationsBasic" : "Bachelor's degree in Engineering, 5+ years engineering team management, 10+ years experience in job offered or related occupation, Experience with complex automated material handling equipment, Experience with packaging technologies, Experience with systems and high-speed manufacturing, Technical leadership for large-scale engineering projects", "qualificationsPreferred" : "Master's degree or above in mechanical engineering, Master's degree or above in electrical engineering, Master's degree or above in material science, Master's degree or above in physics, Master's degree and experience implementing pragmatic operations solutions, Experience with process design based on Lean Principles, Experience in project management disciplines, Experience with design-in-safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking for a new challenge in a fast-paced, innovative organization? Do you have an obsession for customers and a strong interest in building advanced solutions? Do you have proven analytical capabilities, exceptional communication, project management skills, ability to root cause and permanently eliminate defects? We are looking for creative leaders with a passion for innovation, a knack for problem solving, and possess the ability to multi-task and thrive in a fast-paced environment. Amazon operates a world-class network of delivery stations across the globe. The Amazon Logistics (AMZL) Team is responsible for the acquisition, design, construction, and management of all facilities in the Amazon Delivery Station Network. We are looking for a talented professional to join our North America AMZL Design Engineering Team who will support the expansion of AMZL’s Delivery Station Network in the U.S. This leader is customer focused, talented, and technically skilled with a strong record of delivery results, ownership, and having the maturity to lead and influence teams. The Senior Manager will have a talent and passion for building and managing the delivery station designs for various portfolios within the North America region. Focus on mentoring and developing Design Engineers and CAD drafters towards efficient cost, efficiency, and design decisions. Establish long term sustainable design processes incorporating requirements, standards, review cycles, to meet business and customer demands ensuring the highest quality service to our operators. Internal customers and stakeholders include Safety, Topology, Capacity, Real Estate, Process Engineering, Pre-Construction and its Architects, and Launch Planning and Execution teams. A strong bias for action, strategic planning skills, quantitative analysis, and the ability to organize and deliver new initiatives involving leadership across cross-functional operations, technical, business, and external contracting teams is essential. This position will include regular direct communications with senior leaders in the company. Key job responsibilities - Responsible for the Delivery Station project designs from the time projects are selected to the successful launch for the Operations team to start delivering customer packages - Responsible for managing a team of Design Engineers and CAD drafters to deliver timely and cost-effective designs for both interior and exterior flow of the Delivery Stations - Responsible for determining needs for Design resources, hiring, developing, coaching, and mentoring of those resources to improve learning curves and contribution towards teams’ success - Responsible for daily, weekly, quarterly plan of how Design resources are being utilized to meet and exceed the business needs within a region - Responsible for the quality and the performance of the team meeting and exceeding design deliverables against daily, weekly, quarterly plans for the region - Responsible for developing and enforcing company wide Delivery Station Design standards in collaboration with global design teams, Safety, Process Engineering, Material Handling Equipment, and Launch - Reviews and intakes new expansion, retrofit, process improvement initiatives and opportunities to support associate and driver safety, quality, and productivity, and capacity increase for the delivery stations - Leads solutions for recurring process issues and improvement projects within Design Engineering processes and facilitates new solution implementation and adoption across the Design teams - Collaborates with partner and downstream customer teams on their feedback, challenges, lessons learned, best practices, including revisiting current standards, processes, and deliverables - Collaborates with the technology and material handling teams to incorporate new technologies including equipment, robotics, conveyor systems, safety devices, etc. - Identify and implement mechanisms across the larger team to increase scale, speed, and quality of designs - Drive long term processes to enable critical milestone completions, mitigation steps to bring programs back on schedule, and escalating risks to leadership for direction and support - Facilitate cross-functional reviews to collaborate on solutions for recurring and critical program defects Ability to travel up to 50% of time throughout North America A day in the life The Sr. Manager prioritizes multiple strategic initiatives while reviewing key performance metrics across your programs. They lead a team, providing thoughtful guidance on technical standards and design implementations. The Sr. Manager dives deep into data analysis, translating complex insights into clear recommendations for cross-functional partners. They support continuous improvement through workshops to build consensus between engineering and business teams on new innovation initiatives, while bringing in emerging industry best practices. The Sr. Manager navigates ambiguous challenges that require both strategic thinking and hands-on problem-solving. Entrepreneurial drive is essential, identifying opportunities for improvement, developing independent solutions, and rallying resources to execute them. The Sr. Manager maintains initiative alignment with business objectives with agility, providing clear and objective results and recommendations. About the team The Last Mile Design Engineering team is laser focused on high-quality delivery, keeping our operations customer in mind with every step. We provide forward-thinking innovation solutions to maintain Amazon's reputation as the fastest, most reliable delivery company in the world. We collaborate across engineering disciplines to deploy best practices, and enjoy the challenge of complexity to provide robust support of our employees throughout the network. This team takes great pride in delivering smiles as consistently and frictionless as possible. Basic Qualifications: - Bachelor's degree in Engineering or a foreign equivalent - 5+ years of engineering team management experience - Experience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing - 10+ years experience in the job offered or related occupation of Industrial Engineer, Process Engineer, Manufacturing Engineer, or related role - Experience must involve technical leadership for large-scale engineering projects Preferred Qualifications: - Master's degree or above in mechanical engineering, electrical engineering, material science, physics or equivalent, or a Master's degree and experience implementing pragmatic operations solutions to solve problems such as the scheduling, routing, assignment, facility location, or lot-sizing problem - Experience with process design based on Lean Principles - Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management - Experience with design-in-safety - Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $155,700/year in our lowest geographic market up to $269,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Manager, Design Engineering, Last Mile Design Engineering at Amazon.com Services LLC. Skills: Last Mile Design, Delivery Station Design, Engineering Management. Manage delivery station designs. Mentor Design Engineers", "postedDate" : "2026-06-13T07:51:53.451", "createdAt" : "2026-06-13T07:51:53.451", "lastUpdated" : "2026-06-15T02:20:50.077", "ingestTimestamp" : "2026-06-13T07:51:53.451", "mongoId" : "6931903470f0b99d58087aa5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136641/apply", "salaryAnnualMin" : 155700, "salaryAnnualMax" : 269100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Root cause analysis", "Design standards", "Process improvement", "Data analysis", "Performance metrics", "Milestone completion", "Risk mitigation", "Program defects", "Leadership", "Mentoring", "Problem solving", "Critical thinking", "Last Mile Design", "Delivery Station Design", "Engineering Management", "Design engineering", "Process engineering", "Manufacturing engineering", "Capacity planning", "Cost efficiency", "Design decisions", "Business demands", "Customer demands", "Quality service", "Project management", "Quantitative analysis", "Strategic planning", "Operations", "Technical business", "External contracting", "Material handling", "System architecture", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Decision making", "Lean Principles", "Risk management", "Path management", "Scope management", "Schedule management", "Budget management", "Quality management", "Last Mile Logistics", "Delivery Station Network", "Automated material handling", "Packaging technologies", "High-speed manufacturing", "Design-in-safety", "CAD drafters" ], "skillCount" : 51, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308ec6f292fd229c0a523e", "title" : "Staff Engineer, Development Engineering", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "THB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff Engineer in the Technology industry in Amphoe Si Maha Phot, Thailand, adjusted for seniority and company size." }, "location" : "Amphoe Si Maha Phot, Prachin Buri, TH", "locations" : [ "Amphoe Si Maha Phot", "Prachin Buri", "TH" ], "timestamp" : "2026-06-16T14:00:43.027", "fingerprint" : "781c468371a9f5af590d455909bfc12f3ca3b02c65c3f01ae25fb6ef38d6f81d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000131809858-staff-engineer-development-engineering", "externalId" : "744000131809858", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amphoe Si Maha Phot", "state" : "Prachin Buri", "country" : "Thailand", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.1542055,101.5547823" } ], "locationText" : "Amphoe Si Maha Phot, Prachin Buri, Thailand", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "AI, Automation, Robotics, I/O Programming, Image Processing, Database communication, Machine Learning, Deep Learning, TensorFlow, Python, Computer Vision, OOP Programming, PLC, HMI, OpenCV, PyTorch", "professionalSkills" : [ "System design", "Software architecture", "System architecture", "Machine control", "AI integration", "AI development", "Software framework development", "Algorithm development", "Autonomous decision-making", "Optimization capabilities", "Software development", "Technical documentation", "Software release", "Data analysis", "Process improvement", "Communication" ], "hardSkillsList" : [ "AI-based data analysis", "Computer vision" ], "hardSkills" : [ { "name" : "AI-based data analysis", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" } ], "majorSkills" : "AI, Automation, Robotics, Machine Learning", "majorSkillsList" : [ "AI", "Automation", "Robotics", "Machine Learning" ], "coreResponsibilities" : "Define Software Architecture, Define System Architecture, Design Machine Control Software, Code Machine Control Software, Review Machine Control Software, Interact with HDD Assembly Machine, Integrate AI solutions, Embed AI solutions, Develop AI-powered algorithms, Develop software frameworks, Coach junior engineers, Manage software development priorities, Generate software, Maintain software, Generate technical documentation, Maintain technical documentation, Validate software releases, Test software releases, Execute experiments, Analyze data, Share results, Improve yield, Improve process, Improve downtime, Improve scrap, Maintain communications, Guide junior staff, Be technical resource, Comply with 6S activity, Comply with EH&S policy", "teamCollaboration" : "Cross function team; Process and other teams", "projectManagementSkills" : [ "Manage priority" ], "domainKnowledge" : "Automated HSA/HDD Assembly; Assembly Machine Control; Robotics; Vision system; Sensing devices; AI-based solutions; Assembly machinery; Manufacturing requirement; WD Software Framework; Industrial AI applications; AI-based image processing; Edge AI systems; PC/PLC based automation; Bus interfaces; Device Net; Serial communication", "domainList" : [ "automated-hsa-hdd-assembly", "assembly-machine-control", "robotics", "vision-system", "sensing-devices", "ai-based-solutions", "assembly-machinery", "manufacturing-requirement", "wd-software-framework", "industrial-ai-applications", "ai-based-image-processing", "edge-ai-systems", "pc-plc-based-automation", "bus-interfaces", "device-net", "serial-communication" ], "domainSpecificKnowledge" : [ "Automated HSA/HDD Assembly", "Assembly Machine Control", "Robotics", "Vision system", "Sensing devices", "AI-based solutions", "Assembly machinery", "Manufacturing requirement", "WD Software Framework", "Industrial AI applications", "AI-based image processing", "Edge AI systems", "PC/PLC based automation", "Bus interfaces", "Device Net", "Serial communication" ], "toolProficiency" : [ "TensorFlow", "Python", "PyTorch", "OpenCV", "Beckhoff", "Keyence", "Mitsubishi" ], "communicationSkills" : "Technical documentation; Effective communications", "documentationSkills" : "Technical documentation; Software Release notices", "innovationCreativity" : "AI Integration; AI Development; AI-enhanced Software Framework Development", "problemSolvingSkills" : "Problem-solving; Track software issues; Analyze software issues; Resolve software issues; Implement corrective actions", "specialRequirements" : "6S activity, EH&S policy", "outcomesObjectives" : "Enhance precision; Enhance productivity; Enhance problem-solving; Improve yield; Improve process; Improve downtime; Improve scrap", "qualificationsBasic" : "Bachelor's/Master's degree, 5-10 yrs experience, AI/ML/Deep Learning knowledge, AI frameworks experience, Computer Vision/Image Processing experience, Deploy/integrate AI models, Solid software engineering skills", "qualificationsPreferred" : "OOP Programming, UML Design, Windows, Linux, RTO, SPC based machine controls, PLC programming, Vision systems programming, HMI systems programming, Industrial AI applications knowledge, CNN, object detection experience, PyTorch, OpenCV familiarity, Integrate AI models with PLC/PC, Data collection, model deployment, Edge AI systems understanding, Interface, communication, controller integration, PC/PLC based automation systems, I/O controllers, bus interfaces, Frame Grabbers, Device Net, A to D, TCP/IP, Serial communication devices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Take the lead in defining Software Architecture and System Architecture for Automated HSA/HDD Assembly system. * Take the lead in HSA/HDD Assembly Machine Control Software: Design, Code, and Test review process. * Interact with HDD Assembly Machine including Robotics, Vision system and Sensing devices. * AI Integration and Development Define system architectures and embed artificial intelligence (AI)-based solutions into HSA/HDD automated assembly systems for enhanced precision, productivity, and problem-solving. * AI-enhanced Software Framework Development: Develop AI-powered algorithms for new and existing software frameworks, including autonomous decision-making and optimization capabilities for assembly machinery. * Coaching junior engineer and manage priority for software development task to support manufacturing requirement. * Generate and maintain the following software at the control level: * The different generations of Assembly Machines. * The different generations of WD Software Framework * Generate and maintain appropriate technical documentation: * Software Release notices. * Validate and Test software releases * Execute experiments, analysis the data, sharing result to cross function team * Work together with Process and other teams to improve yield, process, downtime & scrap * Maintain effective communications with the technical staff. * Guide and be the technical resource for the junior staff. * Comply with 6S activity to ensure working area is good housekeeping. * Comply with EH&S policy to ensure all workforce safety and sustain good environment. * Others as may be assigned. ## Qualifications REQUIRED: * Bachelor’s degree/Master’s degree in computer engineering/Electrical/Mechatronics/Computer Science * 5 -10 yrs of experiences related to AI, Automation, Robotics, I/O Programming, Image Processing and Database communication protocol * Strong knowledge and hands-on experience in AI / Machine Learning / Deep Learning * Experience with AI frameworks (TensorFlow, PyThon) and Computer Vision / Image Processing * Ability to deploy and integrate AI models into Automation / Robotics systems * Solid software engineering skills with data handling, system integration, and performance optimization PREFERRED: * OOP Programing, UML Design * Windows, Linux, RTO * SPC based machine controls * PLC (Beckhoff, Keyence, Mitsubishi); vision, robotics and HMI systems programming * Knowledge of AI / Machine Learning / Deep Learning and industrial AI applications * Experience with Computer Vision & AI-based image processing (e.g. CNN, object detection) * Familiarity with AI frameworks (TensorFlow, PyTorch, OpenCV) * Experience integrating AI models with PLC / PC-based automation systems * Understanding of data collection, model deployment, and edge AI systems * Interface, communication and controller integration for PC/PLC based automation systems, I/O controllers, bus interfaces, Frame Grabbers, Device Net, A to D, TCP/IP and serial communication devices. SKILL: * Able to track, analyze, and resolve software issues , implement corrective actions to meet customers’ requirements * Able to use OOP, PLC, and HMI system programming for product qualification, prototype, and automation systems * Knowledge or experience in AI / Machine Learning , especially AI-based data analysis or computer vision , is an advantage * Ability to apply AI techniques to improve automation performance, quality, or decision-making * Good command of English is an advantage ## Additional Information #LI-SW1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Staff Engineer, Development Engineering at Western Digital. Skills: AI, Automation, Robotics, Machine Learning. Define Software Architecture. Define System Architecture", "postedDate" : "2026-06-12T03:48:16.000", "createdAt" : "2026-06-16T03:32:37.228", "lastUpdated" : "2026-06-16T14:00:43.027", "ingestTimestamp" : "2026-06-16T03:32:37.228", "mongoId" : "6a308ec6f292fd229c0a523e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI-based data analysis", "Computer vision", "AI", "Automation", "Robotics", "Machine Learning", "System design", "Software architecture", "System architecture", "Machine control", "AI integration", "AI development", "Software framework development", "Algorithm development", "Autonomous decision-making", "Optimization capabilities", "Software development", "Technical documentation", "Software release", "Data analysis", "Process improvement", "Communication", "Manage priority", "Automated HSA/HDD Assembly", "Assembly Machine Control", "Vision system", "Sensing devices", "AI-based solutions", "Assembly machinery", "Manufacturing requirement", "WD Software Framework", "Industrial AI applications", "AI-based image processing", "Edge AI systems", "PC/PLC based automation", "Bus interfaces", "Device Net", "Serial communication", "TensorFlow", "Python", "PyTorch", "OpenCV", "Beckhoff", "Keyence", "Mitsubishi" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b03f292fd229cf58489", "title" : "Senior Machine Learning Engineer, Simulation Evaluation", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 213000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T06:56:42.162", "fingerprint" : "51e7131048cd83f542f87ec256768b1f711d3e057570e3c8f28d5d96476149af", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8001797", "externalId" : "8001797", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Jax, Flax, PyTorch, Generative AI, Deep learning, Machine learning, Multimodal world models, Vision language models, Video generation, Diffusion models, Flow matching, 3D generative models, World models, Sensor data simulation, Lidar, Radar, Semantic scenes modeling, Autonomous systems, Robotics software, Autonomous vehicle simulations, GPU, TPU, C++", "professionalSkills" : [ "System design", "Data workflows", "Evaluation tools", "ML pipelines" ], "hardSkillsList" : [ "Deep learning systems", "ML pipelines", "Generative vision paradigms", "Multimodal world models", "Video generation techniques", "Temporal stability", "Multi-modal consistency", "Geometric discrepancy", "Condition following", "Semantic understanding", "Controllability", "4D world modeling", "Generative AI", "Large-scale generative models", "3D generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems development", "Robotics software development", "Autonomous vehicle simulation", "Model training", "Model optimization", "GPU clusters", "TPU clusters", "Production serving", "High-performance systems" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Deep learning systems", "level" : "intermediate" }, { "name" : "ML pipelines", "level" : "intermediate" }, { "name" : "Generative vision paradigms", "level" : "intermediate" }, { "name" : "Multimodal world models", "level" : "intermediate" }, { "name" : "Video generation techniques", "level" : "intermediate" }, { "name" : "Temporal stability", "level" : "intermediate" }, { "name" : "Multi-modal consistency", "level" : "intermediate" }, { "name" : "Geometric discrepancy", "level" : "intermediate" }, { "name" : "Condition following", "level" : "intermediate" }, { "name" : "Semantic understanding", "level" : "intermediate" }, { "name" : "Controllability", "level" : "intermediate" }, { "name" : "4D world modeling", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large-scale generative models", "level" : "intermediate" }, { "name" : "3D generative models", "level" : "intermediate" }, { "name" : "World models", "level" : "intermediate" }, { "name" : "Video generation", "level" : "intermediate" }, { "name" : "Sensor data simulation", "level" : "intermediate" }, { "name" : "Semantic scenes modeling", "level" : "intermediate" }, { "name" : "Autonomous systems development", "level" : "intermediate" }, { "name" : "Robotics software development", "level" : "intermediate" }, { "name" : "Autonomous vehicle simulation", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "GPU clusters", "level" : "intermediate" }, { "name" : "TPU clusters", "level" : "intermediate" }, { "name" : "Production serving", "level" : "intermediate" }, { "name" : "High-performance systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Simulation evaluation, Deep learning", "majorSkillsList" : [ "Machine learning", "Generative AI", "Simulation evaluation", "Deep learning" ], "coreResponsibilities" : "Lead design, development, and deployment of evaluation approaches, Assess realism of multimodal world models, Assess realism of generative systems, Architect and implement ML pipelines, Tune ML pipelines, Evaluate ML pipelines, Deploy ML pipelines, Evaluate video generation techniques, Measure realism, Apply vision language models, Evaluate semantic understanding, Evaluate controllability, Integrate advancements in 4D world modeling, Integrate advancements in generative AI, Mentor engineers, Provide technical guidance", "teamCollaboration" : "Research teams across Waymo; Research teams across Alphabet", "domainKnowledge" : "Autonomous driving; Generative models; World models; Video generation; Sensor data simulation; Semantic scenes modeling; Autonomous systems; Robotics software; Autonomous vehicle simulation; Multimodal world models; Generative AI", "domainList" : [ "autonomous-driving", "generative-models", "world-models", "video-generation", "sensor-data-simulation", "semantic-scenes-modeling", "autonomous-systems", "robotics-software", "autonomous-vehicle-simulation", "multimodal-world-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems", "Robotics software", "Autonomous vehicle simulation", "Multimodal world models", "Generative AI" ], "toolProficiency" : [ "Jax", "Flax", "PyTorch" ], "innovationCreativity" : "Pioneer machine learning paradigms; Pioneer generative vision paradigms", "problemSolvingSkills" : "Mathematically prove world is real", "qualificationsBasic" : "Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field, Five or more years of experience in machine learning engineering or applied deep learning, Proficient programming skills in Python, Hands-on experience with modern machine learning frameworks, Experience designing and implementing evaluation frameworks for complex systems or machine learning models", "qualificationsPreferred" : "Track record of training large-scale generative models, PhD and demonstrated success delivering ML products focused on 3D generative models, world models, or video generation, Experience simulating sensor data, Experience modeling semantic scenes, Experience developing autonomous systems, Experience developing robotics software, Experience developing autonomous vehicle simulations, Experience training and optimizing large-scale models on GPU or TPU clusters, Professional experience writing C++ for high-performance production systems", "remoteFriendly" : false, "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The Challenge Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is \"real\"? We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research roadmap. In this role, you will pioneer the machine learning and generative vision paradigms required to define and measure the realism of our multimodal world models. Your work will define the state of the art for autonomous simulation, directly steering our research trajectory and the capabilities of the Waymo Driver. You will: Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo. Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation. Evaluate open-source and production-ready video generation techniques that measure realism (e. g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.) Apply vision language models to evaluate semantic understanding and controllability across our world simulation products. Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems. Mentor engineers on the team and provide technical guidance on architecture and execution. You have: Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field. Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications. Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch. Experience designing and implementing evaluation frameworks for complex systems or machine learning models. We prefer: Track record of training large-scale generative models (diffusion models, flow matching, vision language models, etc.) A PhD and demonstrated success delivering machine learning products focused on 3D generative models, world models, or video generation. Experience simulating sensor data, including camera, lidar, and radar, or modeling semantic scenes. Experience developing autonomous systems, robotics software, or autonomous vehicle simulations. Experience training and optimizing large-scale models on GPU or TPU clusters for efficient production serving. Professional experience writing C++ for high-performance production systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD", "summaryDescription" : "Senior Machine Learning Engineer, Simulation Evaluation at Waymo. Skills: Machine learning, Generative AI, Simulation evaluation, Deep learning. Lead design, development, and deployment of evaluation approaches. Assess realism of multimodal world models", "postedDate" : "2026-06-15T23:27:27.307", "createdAt" : "2026-06-15T23:27:27.307", "lastUpdated" : "2026-06-16T06:56:42.162", "ingestTimestamp" : "2026-06-15T23:27:27.307", "mongoId" : "6a305b03f292fd229cf58489", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 213000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Deep learning systems", "ML pipelines", "Generative vision paradigms", "Multimodal world models", "Video generation techniques", "Temporal stability", "Multi-modal consistency", "Geometric discrepancy", "Condition following", "Semantic understanding", "Controllability", "4D world modeling", "Generative AI", "Large-scale generative models", "3D generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems development", "Robotics software development", "Autonomous vehicle simulation", "Model training", "Model optimization", "GPU clusters", "TPU clusters", "Production serving", "High-performance systems", "Mentoring", "Machine learning", "Simulation evaluation", "Deep learning", "System design", "Data workflows", "Evaluation tools", "Autonomous driving", "Generative models", "Autonomous systems", "Robotics software", "Jax", "Flax", "PyTorch" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9ffa74d8ee00a09a0fca", "title" : "Design Engineer", "company" : "Eagle", "industry" : "Engineering", "salary" : { "min" : 150000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T04:07:36.690", "fingerprint" : "d7d19068bff58c7cb7c16fa773295ab89a837b7682ef93665c3b0d9a79bbc5f0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/eagle/b5dd7b60-24d5-4053-a753-463cf7140822/application", "externalId" : "b5dd7b60-24d5-4053-a753-463cf7140822", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "React, TypeScript", "professionalSkills" : [ "Interaction design", "Visual design", "Design systems" ], "hardSkillsList" : [ "UX design", "Interface design", "AI product design" ], "hardSkills" : [ { "name" : "UX design", "level" : "intermediate" }, { "name" : "Interface design", "level" : "intermediate" }, { "name" : "AI product design", "level" : "intermediate" } ], "majorSkills" : "UX design, Interface design, Design systems, AI product design", "majorSkillsList" : [ "UX design", "Interface design", "Design systems", "AI product design" ], "coreResponsibilities" : "Embed with staff at engineering firms, Design and build against what you saw, Own the product surface end-to-end, Design interaction design, Prototype, Ship the production front-end yourself, Establish and own our design system, Define the interaction patterns for an AI-native platform, Collaborate directly with the CTO on product direction, Collaborate on culture, Collaborate on what we'll build next", "teamCollaboration" : "Cross-functional teams; Work with CTO", "domainKnowledge" : "AI-native platform; Agentic systems; Human-in-the-loop review; Provenance and citations; Machine output trust", "domainList" : [ "ai-native-platform", "agentic-systems", "human-in-the-loop-review", "provenance-and-citations", "machine-output-trust" ], "domainSpecificKnowledge" : [ "AI-native platform", "Agentic systems", "Human-in-the-loop review", "Provenance and citations", "Machine output trust" ], "communicationSkills" : "Earn trust with people", "innovationCreativity" : "Design systems; AI-native platform", "problemSolvingSkills" : "Distill feedback into opinion", "specialRequirements" : "Willing to travel", "qualificationsBasic" : "Design taste and engineering chops to ship it yourself in production (React/TypeScript or equivalent), Built and maintained a design system that more than one product or team depended on, Real reps designing UX for AI-native products, Comfortable with problems that don't exist in traditional software: non-determinism, streaming output, uncertainty, agentic flows, and earning user trust in machine output, Deep curiosity for how things work, Isn't afraid to expose their ignorance and is constantly asking why, Poise and communication skills to earn trust with people who've never worked with a tech company before, Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build, Willing to get on a plane", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Eagle We’re on a mission to radically transform the way we design and construct our built environment. Backed by Lightspeed Venture Partners, Eagle acquires and transforms civil, structural, and MEP engineering firms with applied AI. We’re an AI laboratory dedicated to providing engineers with the tools they need to solve the world’s hardest infrastructure, energy, and climate problems. By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States. The opportunity Our core thesis: 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI. That gap is the largest of any profession. Our plan is to close it by acquiring engineering firms, building purpose-built tools for their staff, and compounding that proprietary intelligence across acquisitions. As a Design Engineer, you'll work directly with the CTO to own how that intelligence becomes something engineers actually trust and use. The hard part isn't only modeling the data—it's making non-deterministic, agentic systems legible to people who have never worked with a software company before. You own the surface where that trust is won or lost. You get a front-row seat to building a company from zero—engaging with product strategy, firm acquisitions, and architecture decisions—on a problem domain that's barely been touched by AI. What you'll do - Embed with staff at engineering firms alongside the founders; watch how they actually work, then come back and design and build against what you saw - Own the product surface end-to-end—from interaction design and prototyping through shipping the production front-end yourself - Establish and own our design system: the components, patterns, and primitives that have to stay coherent as we compound products across acquisitions - Define the interaction patterns for an AI-native platform—streaming and latency, human-in-the-loop review, provenance and citations, and making agent behavior transparent enough to trust - Collaborate directly with the CTO on product direction, culture, and what we'll build next What we look for - Strong design taste and the engineering chops to ship it yourself in production (React/TypeScript or equivalent)—you don't hand off to someone else to build - Has built and maintained a design system that more than one product or team depended on - Has real reps designing UX for AI-native products and is comfortable with the problems that don't exist in traditional software: non-determinism, streaming output, uncertainty, agentic flows, and earning user trust in machine output - Has a deep curiosity for how things work (an organization, a workflow, a market) - Isn't afraid to expose their ignorance and is constantly asking why - Has the poise and communication skills to earn trust with people who've never worked with a tech company before - Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build - Is willing to get on a plane with us - Is not above any task: up to draw the icon set, write the component, sit beside a user and watch them click, or wire up an off-the-shelf tool to test an idea fast Compensation - Competitive cash compensation ($150K–$300K depending on experience) - Founding equity, scaled to scope - Full healthcare benefits - In-person office in NYC", "summaryDescription" : "Design Engineer at Eagle. Skills: UX design, Interface design, Design systems, AI product design. Embed with staff at engineering firms. Design and build against what you saw", "createdAt" : "2026-06-14T20:12:10.520", "lastUpdated" : "2026-06-16T04:07:36.690", "ingestTimestamp" : "2026-06-14T20:12:10.520", "mongoId" : "6a2c9ffa74d8ee00a09a0fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 300000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "UX design", "Interface design", "AI product design", "Design systems", "Interaction design", "Visual design", "AI-native platform", "Agentic systems", "Human-in-the-loop review", "Provenance and citations", "Machine output trust" ], "skillCount" : 11, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ce7ba74d8ee00a0a68649", "title" : "Design Engineer", "company" : "Lumbra", "industry" : "Software Engineer", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Design Engineer in Arlington, United States, adjusted for the technology industry." }, "location" : "Arlington", "locations" : [ "Arlington", "New York City" ], "timestamp" : "2026-06-16T04:36:26.404", "fingerprint" : "6e321a86865f04620d9276149c0abfa9a12d357c5d26db885a5b3441ff1b5090", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lumbra/1f811539-2d1b-42e5-aa1a-b0b095a96db4/application", "externalId" : "1f811539-2d1b-42e5-aa1a-b0b095a96db4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "React, TypeScript", "professionalSkills" : [ "Visual expression", "Technical execution", "Information hierarchy" ], "hardSkillsList" : [ "Design systems", "Brand architecture", "Component primitives", "Interaction patterns", "Data visualization" ], "hardSkills" : [ { "name" : "Design systems", "level" : "intermediate" }, { "name" : "Brand architecture", "level" : "intermediate" }, { "name" : "Component primitives", "level" : "intermediate" }, { "name" : "Interaction patterns", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "User experience, Interface design, Visual design, Design systems", "majorSkillsList" : [ "User experience", "Interface design", "Visual design", "Design systems" ], "coreResponsibilities" : "Create and steward design system, Manage brand architecture, Develop tokens and themes, Ensure light and dark parity, Build component primitives, Prototype novel AI interaction patterns, Ship novel AI interaction patterns, Translate product intent into production React, Translate product intent into production TypeScript, Partner with product engineers, Partner with research engineers, Partner with backend engineers, Carry sketch through to shipped feature, Steward information hierarchy in dense analytical surfaces, Hold accessibility as baseline, Hold inclusive design as baseline", "teamCollaboration" : "Product, research, backend engineers", "domainKnowledge" : "Agentic AI; High-consequence environments; AI interaction patterns; Knowledge graphs; Workflow visualizations", "domainList" : [ "agentic-ai", "high-consequence-environments", "ai-interaction-patterns", "knowledge-graphs", "workflow-visualizations" ], "domainSpecificKnowledge" : [ "Agentic AI", "High-consequence environments", "AI interaction patterns", "Knowledge graphs", "Workflow visualizations" ], "innovationCreativity" : "Prototype development", "specialRequirements" : "U. S. citizenship, Clearance-eligible, Based in National Capital Region, Based in New York City", "qualificationsBasic" : "Portfolio of shipped production work, Fluency across design-to-code spectrum, Track record of holding legibility in dense analytical environments", "qualificationsPreferred" : "Prior work on AI and LLM interfaces, Deep comfort with AI-assisted prototyping and engineering", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT LUMBRA Lumbra builds the vendor-neutral operating system for agentic AI in high-consequence environments. In our first ten months we won four U.S. Government prime contracts in open competition, every one deploying into classified spaces, and we are live on JWICS. We were selected from a field of more than 200 companies and won, beat two established defense primes head to head, and earned the follow-on now in execution. Lumbra is a team of engineers and operators from the intelligence community, special operations, and frontier AI research, with degrees from MIT, Carnegie Mellon, West Point, and U.S. Army Ranger School and careers built at Palantir, Anduril, Northrop Grumman, Onebrief, JSOC, NSA, and CIA. They have lived this problem from the inside. ABOUT THE ROLE Nebula is one product serving two very different audiences. For the non-technical operators and analysts, the surface has to stay calm: the answer, the confidence behind it, and the sources, with nothing to fight through. The technical builders need the reverse: full transparency into the agents, tools, traces, and tradeoffs underneath. Within each audience, sub-personas work at a different altitude of detail and tolerate a different information density. We want a Design Engineer who lives between design and code, can hold all of them at once, and owns the design language that serves both without dumbing either one down. WHAT YOU’LL OWN - Create and steward the design system and brand architecture that spans both audiences, from the low-density operator surface to the high-transparency builder surface: tokens, themes, light and dark parity, and the component primitives that make opposite surfaces feel like one platform. - Prototype and ship novel AI interaction patterns: streaming output, tool-call visualization, citation surfacing, confidence indicators, and agent-to-human handoffs. - Translate product intent into production React and TypeScript, partnering with product, research, and backend engineers to carry a sketch through to a shipped feature without losing fidelity in the handoff. - Steward information hierarchy in dense analytical surfaces such as knowledge graphs, evaluation dashboards, and workflow visualizations, where the wrong default hides the work and the right one reveals it. - Hold accessibility and inclusive design (WCAG) as a baseline of the system rather than a cleanup done later. YOU’LL WORK ALONGSIDE Intelligence officers, MIT engineers, Special Operations veterans, and applied AI engineers from frontier labs like Anthropic and Google. Your work affects national security directly, and you own part of the company early, when it matters. REQUIRED QUALIFICATIONS - A portfolio of shipped production work where you owned both the visual expression and the technical execution, in open source, personal projects, or professional products, weighed as craft over job titles - Fluency across the design-to-code spectrum, having personally managed tokens, themes, and shared component primitives in a production React and TypeScript codebase - A track record of holding legibility in dense analytical environments (intelligence, financial, scientific, or developer-facing) where complex data needs disciplined hierarchy PREFERRED QUALIFICATIONS - Prior work on AI and LLM interfaces: streaming display, tool-call visualization, confidence and citation surfacing - Deep comfort with AI-assisted prototyping and engineering to close the gap between high-fidelity design and shipped code MUST-HAVES U.S. citizenship. Clearance-eligible. Based in the National Capital Region or New York City. BENEFITS - Comprehensive medical, dental, and vision plans - Premiums 100% covered by Lumbra for all employees - Exceptionally low premiums for spouses and dependents - Basic life insurance and disability 100% covered for all employees by Lumbra - Option to purchase additional life insurance available - Take the time off that you need, when you need it' paid time off, not accrual based - Generous company holiday calendar including a holiday shutdown in December - Supportive leave of absence program including time off for military service, medical events, and parental leave - Full 401(k) retirement plan for all full-time eligible employees - Company-funded commuter benefits - Free access to on-site gym at office", "summaryDescription" : "Design Engineer at Lumbra. Skills: User experience, Interface design, Visual design, Design systems. Create and steward design system. Manage brand architecture", "createdAt" : "2026-06-14T18:43:05.551", "lastUpdated" : "2026-06-16T04:36:26.404", "ingestTimestamp" : "2026-06-14T18:43:05.551", "mongoId" : "6a2ce7ba74d8ee00a0a68649", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Design systems", "Brand architecture", "Component primitives", "Interaction patterns", "Data visualization", "User experience", "Interface design", "Visual design", "Visual expression", "Technical execution", "Information hierarchy", "Agentic AI", "High-consequence environments", "AI interaction patterns", "Knowledge graphs", "Workflow visualizations" ], "skillCount" : 16, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d098d74d8ee00a0ac7c27", "title" : "Design Engineer", "company" : "Ashby", "industry" : "Engineering", "salary" : { "min" : 58000.0, "max" : 133000.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Portugal", "locations" : [ "Portugal", "Spain", "Italy", "Croatia", "Sweden", "Ireland", "Estonia", "Romania", "Switzerland", "Berlin", "Barcelona", "Stockholm" ], "timestamp" : "2026-06-15T22:24:14.592", "fingerprint" : "4427798bb14ae2cbaf375a1ab9533f5b96674d4b8f7169078b6054ca23ce11b0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ashby/188cc71b-a625-4022-94dc-7c43fa1a8b06/application", "externalId" : "188cc71b-a625-4022-94dc-7c43fa1a8b06", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Portugal", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Portugal", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "Hi \uD83D\uDC4B\uD83C\uDFFE I’m Abhik https://www.linkedin.com/in/abhikpramanik/, Ashby's Co-Founder and VP of Engineering. This role is close to my heart because, as someone who can both design and code, it’s where I’ve always done my best work, but also where I was seen as a rebel and an outsider. I want folks like me to feel at home at Ashby, and so I made Design Engineering a formal role and department that works closely with me. Our first hire was over five years ago, and we’re doubling the team from five to over ten in the next year. This role truly expects you to design and code. Design Engineer at Ashby isn’t just a Frontend Engineer with new branding, nor is it a Designer vibe coding prototypes. Combining excellence in both is where magic happens. I found that when I put my best effort into both the design and technical implementation of a feature, I had a nimbleness and creativity that was hard to achieve when I did only one or the other. For instance, the UX and UI I envisioned often influenced the data model's design and flexibility, while the understanding of technology's capabilities often simplified or improved the design. This role embraces that. The Design Engineer role is more common today than five years ago, but I believe Ashby offers a unique opportunity that few can match: - First, this role has always had the commitment of both Benji (CEO & Co-Founder) and me: I’ve held the role, steadfastly championed it since we started hiring in 2020, and haven’t diluted its responsibilities as we’ve grown (in fact, we’ve doubled down). - Second, you work on a product at scale, not at an early-stage startup struggling to find users and get feedback on what you’ve designed and built. At Ashby, your work will touch over 100,000 weekly active users, millions of candidates per week, and notable customers like Notion, Linear, Shopify, and Snowflake. You’ll get to test out ideas with our own recruiting team and hiring managers who use Ashby every day (like me), and often hear customer feedback as early as the day you release. In this role, you’ll work on our most challenging design problems, help others improve their designs by expanding and enhancing our in-house design system, and consult on bespoke design work needed by Product Engineers. To ground it with examples, Design Engineers at Ashby have: - Redesigned our mobile web app by talking with customers who use it often, wireframing new flows, implementing its design system, and using it to make the wireframes a reality. - Built a set of flexible, composable components in our design system that allow other engineers to easily build beautiful, consistent setup wizards across our product. - Helped a Product Engineer improve the information hierarchy and scannability of their design for viewing a candidate’s assessments. Recruiters can quickly parse information and pick out anomalies. WHY YOU SHOULDN’T APPLY Design Engineers come in many flavors, not all of which fit our model. Here are some reasons you might not enjoy the role: - You only want to work on design systems. While improving our design system is one of many responsibilities, you won’t be able to work on it exclusively. - You like to do extensive research and user testing before implementation. The beauty of being part-Engineer is that you can build conviction by shipping to a subset of users (including our own team) and gathering feedback! - You want everything to be perfect before it gets into a user’s hands. One of the drivers of our success is that we ship fast. That often means we don’t agonize over every detail and instead iterate over time, often letting user feedback and business needs drive prioritization. - You don’t have excellent taste and execution in visual design. Design Engineers set the bar for visual design in our app and continually improve it, pushing its boundaries with each new feature or redesign. - You need company-driven process and structure to get your projects across the finish line. Sprint planning and well-defined project management processes are things you need or look to others to lead. You’d rather focus on the design and technical details. - You only want to do exciting work. We’re building a team of kind, collaborative folks. Customer issues and investigations are distributed across the team, including our high-level ICs. WHAT SENIORITY/LEVEL TO APPLY FOR We’ve posted levels from Junior to Staff. The higher the level, the more experience and alignment with the role we expect when reviewing your application and while interviewing. Please apply to the one that sets the right expectations. - Junior Design Engineer - You should have no more than 2 years of industry experience as a designer or engineer. We want to see projects (personal or professional) with at least a couple of users that showcase great visual taste and burgeoning talent in both UI/UX and Engineering. - Design Engineer (This Posting) - This posting covers both Mid and Senior levels. You have 2+ years of continuous experience (e.g., internships don’t count) as an Engineer or a Designer. You have good proficiency in both Design and Engineering, with exceptional proficiency in the discipline you practice full-time. Regardless of which discipline you’re coming from, we expect experience designing products and shipping code to hundreds of users (even if through side projects). - Staff Design Engineer - We’re looking for folks who’ve practiced our flavor of Design Engineering professionally. It may not be through a formal title, but you’ve made major contributions to a design system and designed and implemented features for hundreds of users and iterated on them through user feedback. Internally, we do not use these titles, but Engineers are leveled based on proficiency (which you can read about here https://www.ashbyhq.com/blog/engineering/leveling-and-compensation). WHAT WE’RE BUILDING As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. \uD83E\uDD75 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! ENGINEERING CULTURE Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: - Minimal process with ownership over decisions normally made by product and design - Natural collaboration and deliberate communication - Investing in tools and abstractions that give us leverage - Putting effort into building a diverse team MINIMAL PROCESS & LOTS OF OWNERSHIP The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. COLLABORATION IS NATURAL & COMMUNICATION IS DELIBERATE Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here https://www.ashbyhq.com/team!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here https://www.ashbyhq.com/blog/company/thoughtful-communication). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years. ~34 hours of focus time, 2.5h of interviews, and 3.5 hours of meetings: [https://app.ashbyhq.com/api/images/user-content/4ea5f68e-c33e-4ac9-831a-e732bee4a303/d4679311-9dba-4031-bf5e-19ce78597ab1/calendar.png] We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. INCREASE LEVERAGE, NOT TEAM SIZE We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: - Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience \uD83D\uDCAA\uD83C\uDFFE. - Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). - AI-powered tooling. We think of AI as a way to automate the mundane parts of building and maintaining high-quality software. We use a combination of third-party and internally built tools that, for instance, auto-triage customer issues, suggest fixes, prototype ideas, generate production-ready code, and conduct code reviews. Engineers have an unlimited token budget (but are not measured on it). We write in detail about our philosophy, current use of AI, and future plans for AI in Engineering here https://www.ashbyhq.com/blog/engineering/ai-ashby-engineering-and-the-future. Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: [https://app.ashbyhq.com/api/images/user-content/4ea5f68e-c33e-4ac9-831a-e732bee4a303/8d94727a-46d8-42a2-9627-ddcd7f822f95/arjun.png] And a demo of one of these building blocks: PUT EFFORT INTO DIVERSITY Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 25% of engineers and 50% of our engineering leaders at Ashby are from underrepresented groups. We are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. INTERVIEW PROCESS At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together through pair programming, designing, writing design system specs collaboratively, and discussing decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: - Introduction call with me (30m, live). Be prepared to screen-share examples of your work. - A second round where we either do a technical screen (1h, live) or a design take-home (~3h async, 30m live) - Three interviews, a deep dive into a past design system or design project, a design system interview, and the interview we didn’t do in the second round: technical screen or design take-home. (3h, live) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. I will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect. You’ll meet 3-4 people in Design Engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! YOUR FIRST THREE MONTHS AT ASHBY We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices. The product changes increase in scope and ambiguity from simple copy changes to the delivery of a prominent, impactful feature. Your manager will do a 30, 60, and 90-day review to give feedback and calibrate on how we work together. It’s a team effort to get you successfully onboarded; you’ll have a peer paired with you to answer questions, pair program, and check in often to see if you need help. The rest of the team will run training sessions on our culture, product, engineering process, and technical architecture. TECHNOLOGY STACK Our tech stack is TypeScript (frontend & backend), React, GraphQL API, Node.js, Postgres, and Redis. Depending on the level you’re applying for and your past experience, we expect, at a minimum, good proficiency with TypeScript, React, and CSS. Proficiency with backend technologies is a plus, as it allows you to work without coordinating with Product Engineers. BENEFITS - Competitive salary and equity. - 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. - Unlimited PTO, and we will encourage you to take it. - A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. - Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! - $100/month education budget with more expensive items (like conferences) covered with manager approval. - If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Ashby is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.", "summaryDescription" : "Design Engineer at Ashby", "createdAt" : "2026-06-14T21:53:47.254", "lastUpdated" : "2026-06-15T22:24:14.592", "ingestTimestamp" : "2026-06-14T21:53:47.254", "mongoId" : "6a2d098d74d8ee00a0ac7c27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "staff engineer advanced cores design evaluation engineering jobs", "metadata" : { "title" : "staff engineer advanced cores design evaluation engineering" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 89274, "totalPages" : 1786, "hasNext" : true, "hasPrevious" : false } }

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