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Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team The Lethality Modeling DOE, DoD, NNSA, or classified computing experience strongly preferred Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment Experience with Slurm or comparable HPC scheduling and cluster management tools Experience developing tools that improve analyst, researcher, or engineering productivity US Salary Range $132,000—$198,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "HPC Systems Engineer, Modeling & Simulation at Anduril Industries. Skills: HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology. Develop tools that improve analyst, researcher, or engineering productivity.", "postedDate" : "2026-06-14T20:01:04.151", "createdAt" : "2026-06-14T20:01:04.151", "lastUpdated" : "2026-06-15T09:42:53.742", "ingestTimestamp" : "2026-06-14T20:01:04.151", "mongoId" : "6a2c6bcf74d8ee00a0914cbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Slurm", "HPC scheduling", "cluster management", "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology", "DOE, DoD, NNSA, or classified computing experience strongly preferred." ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a22f292fd229cf4d88c", "title" : "Deployment Strategist, New Grad", "company" : "Palantir", "industry" : "Echo", "salary" : { "min" : 115000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level technology roles in Washington, DC, adjusted for Palantir's company size and industry." }, "location" : "Washington, D.C.", "locations" : [ "Washington, D.C." ], "timestamp" : "2026-06-16T12:48:37.112", "fingerprint" : "6d4edc0ba40e723665bad7837317448f9ea775e4e70554ac8d23f40c60461779", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/palantir/5d8286d6-992a-404b-94af-99c173d40299/apply", "externalId" : "5d8286d6-992a-404b-94af-99c173d40299", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "rawDescription" : "## Description A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centers around leveraging data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. ## No two days are the same, but as a Deployment Strategist you can expect to Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points. Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline. Work with the customer to build bespoke workflows for new user groups. Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners' operations. Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives. Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings. Build and deliver demos to new and existing customers. Scope out potential engagements in new industries and in increasingly expanding locations around the world. ## What We Value We value team members who aren’t satisfied with surface-level answers. We value the desire to dive into the details of the data because that’s the core of our work. And we value low ego because the outcome matters more than who gets the credit. Extraordinary ability to take on open-ended problems in unstructured environments. Adaptive and introspective; willing to learn, teach, lead and follow. Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) is a plus. ## What We Require Active Full Scope Poly Level clearance. Ability to travel 25 – 75% required. Varies by location and team. ## Additional Information Salary The estimated salary range for this position is estimated to be $110,000 - $170,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance • Commuter benefits • Relocation assistance • Take what you need paid time off, not accrual based • 2 weeks paid time off built into the end of each year (subject to team and business needs) • 10 paid holidays throughout the calendar year • Supportive leave of absence program including time off for military service and medical events • Paid leave for new parents and subsidized back-up care for all parents • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation • Stipend to help with expenses that come with a new child • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3). If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.", "summaryDescription" : "Deployment Strategist, New Grad at Palantir", "postedDate" : "2026-06-15T16:42:57.674", "createdAt" : "2026-06-15T16:42:57.674", "lastUpdated" : "2026-06-16T12:48:37.112", "ingestTimestamp" : "2026-06-16T03:21:30.387", "mongoId" : "6a305a22f292fd229cf4d88c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307588f292fd229c0111ce", "title" : "Mechanical Design Engineer – Power Systems", "industry" : "Qualdoc Staffing", "salary" : { "min" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Marietta, OH", "locations" : [ "Marietta, OH" ], "timestamp" : "2026-06-16T12:23:52.607", "fingerprint" : "ee04491b0cd844714e5c19b4cf75466e21fbf104eb82bb1abb590814ee4c263e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/qualdoc/d83902d0-23e3-4954-81c5-c675754b5435/apply", "externalId" : "d83902d0-23e3-4954-81c5-c675754b5435", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Marietta", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.4167742,-81.4548392" } ], "locationText" : "Marietta, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "SolidWorks", "professionalSkills" : [ "Product design", "Design validation", "Product development", "Product enhancement", "Product customization", "Lifecycle management", "Product optimization" ], "hardSkillsList" : [ "Mechanical design", "Engineering documentation", "Design reviews", "Prototype evaluation", "Fabrication support", "Testing support", "Project management", "Sheet metal design", "Manufacturing processes", "Assembly drawings", "Design-for-manufacturability", "Thermal evaluation", "Structural evaluation" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Engineering documentation", "level" : "intermediate" }, { "name" : "Design reviews", "level" : "intermediate" }, { "name" : "Prototype evaluation", "level" : "intermediate" }, { "name" : "Fabrication support", "level" : "intermediate" }, { "name" : "Testing support", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Sheet metal design", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Assembly drawings", "level" : "intermediate" }, { "name" : "Design-for-manufacturability", "level" : "intermediate" }, { "name" : "Thermal evaluation", "level" : "intermediate" }, { "name" : "Structural evaluation", "level" : "intermediate" } ], "majorSkills" : "Mechanical design, Power systems, Product development", "majorSkillsList" : [ "Mechanical design", "Power systems", "Product development" ], "coreResponsibilities" : "Create mechanical designs, Maintain mechanical designs, Create engineering documentation, Maintain engineering documentation, Create product specifications, Maintain product specifications, Develop design solutions, Participate in design reviews, Provide technical feedback, Implement design improvements, Design prototypes, Release prototypes, Evaluate prototypes, Support fabrication, Support testing, Drive continuous improvement, Manage engineering projects, Coordinate design activities, Coordinate design deliverables, Collaborate with manufacturing, Collaborate with supply chain, Collaborate with quality, Collaborate with service teams, Support product customization, Support engineering change orders, Support lifecycle management, Support product optimization, Ensure design documentation accuracy, Ensure design documentation completeness, Align design documentation with processes", "teamCollaboration" : "Cross-functional collaboration; Work with manufacturing teams; Work with supply chain teams; Work with quality teams; Work with service teams; Collaborative work environment", "projectManagementSkills" : [ "Manage smaller projects" ], "domainKnowledge" : "Electrical power distribution; Electrical protection equipment; Electrical safety standards; Compliance standards; UL standards; IEC standards; Switchboards; Power distribution units; Power panels; UL 891; UL 508A", "domainList" : [ "electrical-power-distribution", "electrical-protection-equipment", "electrical-safety-standards", "compliance-standards", "ul-standards", "iec-standards", "switchboards", "power-distribution-units", "power-panels", "ul-891", "ul-508a" ], "domainSpecificKnowledge" : [ "Electrical power distribution", "Electrical protection equipment", "Electrical safety standards", "Compliance standards", "UL standards", "IEC standards", "Switchboards", "Power distribution units", "Power panels", "UL 891", "UL 508A" ], "toolProficiency" : [ "SolidWorks", "PLM systems" ], "documentationSkills" : "Engineering documentation; Product specifications; Design documentation; Technical writing", "innovationCreativity" : "Develop innovative design solutions", "problemSolvingSkills" : "Solving complex design challenges; Analytical skills; Problem-solving skills", "outcomesObjectives" : "Deliver high-quality solutions", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, 2 years of professional engineering experience, Understanding of mechanical design principles, Understanding of engineering documentation", "qualificationsPreferred" : "Experience designing power distribution products, Experience designing power protection products, Experience designing electrical enclosure products, Working knowledge of UL standards, Working knowledge of IEC standards, 2+ years of experience using SolidWorks, Experience performing thermal evaluations, Experience performing structural evaluations, Familiarity with PLM systems, Knowledge of sheet metal design, Knowledge of manufacturing processes, Knowledge of assembly drawings, Knowledge of design-for-manufacturability, Technical writing experience, Documentation experience, Experience designing test fixtures, Experience supporting product validation, Familiarity with switchboards, Familiarity with power distribution units, Familiarity with power panels, Familiarity with UL 891, Familiarity with UL 508A", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Mechanical Design Engineer – Power Systems Location: Marietta, OH Job Type: Full-Time, Direct Hire Compensation: Starting at $60,000 annually, with higher compensation available based on experience and qualifications. Position Overview We are seeking a Mechanical Design Engineer to support the development, enhancement, and customization of electrical power distribution and protection equipment. This role is responsible for mechanical design activities from concept through production, including prototype development, design validation, documentation, and cross-functional collaboration. The ideal candidate is a hands-on engineer who enjoys solving complex design challenges, improving existing products, and working closely with manufacturing, supply chain, and service teams to deliver high-quality solutions. ## Key Responsibilities Create and maintain mechanical designs, engineering documentation, and product specifications for power distribution and protection equipment. Develop innovative design solutions that meet project objectives, customer requirements, and industry standards. Participate in formal design reviews, provide technical feedback, and implement design improvements. Design, release, and evaluate prototypes while supporting fabrication and testing activities. Drive continuous improvement efforts based on prototype and production feedback. Independently manage smaller engineering projects, coordinating design activities and deliverables. Collaborate with manufacturing, supply chain, quality, and service teams to ensure products meet operational and customer needs. Support product customization initiatives, engineering change orders (ECO/ECN), lifecycle management, and product optimization projects. Ensure design documentation is accurate, complete, and aligned with company processes. ## Required Qualifications Bachelor's degree in Mechanical Engineering or a related engineering discipline. Minimum of 2 years of professional engineering experience in product design, manufacturing, or related fields. Strong understanding of mechanical design principles and engineering documentation. Excellent communication and collaboration skills. Ability to manage multiple priorities in a team-oriented environment. ## Preferred Qualifications Experience designing power distribution, power protection, or electrical enclosure products. Working knowledge of electrical safety and compliance standards, including UL and IEC requirements. At least 2 years of experience using SolidWorks for 3D modeling, assemblies, and mechanical design analysis. Experience performing thermal and structural evaluations of mechanical designs. Familiarity with Product Lifecycle Management (PLM) systems. Knowledge of sheet metal design, manufacturing processes, assembly drawings, and design-for-manufacturability practices. Technical writing and documentation experience. Experience designing test fixtures or supporting product validation activities. Familiarity with switchboards, power distribution units (PDUs), power panels, UL 891, and UL 508A standards is highly desirable. ## What You'll Bring Strong analytical and problem-solving skills. A proactive, solution-oriented mindset. Attention to detail and commitment to engineering quality. Ability to work effectively with cross-functional teams and contribute to a collaborative work environment.", "summaryDescription" : "Mechanical Design Engineer – Power Systems. Skills: Mechanical design, Power systems, Product development. Create mechanical designs. Maintain mechanical designs", "postedDate" : "2026-06-15T20:27:37.539", "createdAt" : "2026-06-15T20:27:37.539", "lastUpdated" : "2026-06-16T12:23:52.607", "ingestTimestamp" : "2026-06-16T03:24:15.225", "mongoId" : "6a307588f292fd229c0111ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Engineering documentation", "Design reviews", "Prototype evaluation", "Fabrication support", "Testing support", "Project management", "Sheet metal design", "Manufacturing processes", "Assembly drawings", "Design-for-manufacturability", "Thermal evaluation", "Structural evaluation", "Power systems", "Product development", "Product design", "Design validation", "Product enhancement", "Product customization", "Lifecycle management", "Product optimization", "Manage smaller projects", "Electrical power distribution", "Electrical protection equipment", "Electrical safety standards", "Compliance standards", "UL standards", "IEC standards", "Switchboards", "Power distribution units", "Power panels", "UL 891", "UL 508A", "SolidWorks", "PLM systems" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a10b5a258b93c861e1f9e45", "title" : "Electrical Design and Test Engineer Battery/Power", "company" : "Jacobs", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical Design and Test Engineer in Houston, adjusted for mid-seniority and the aerospace industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-16T07:29:28.784", "fingerprint" : "d4a23abf21dec9739a85bda0832586c7ed3b870bc696d14171f976b4d148ffea", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324975", "externalId" : "324975", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Electrical Engineering, Voltmeters, Oscilloscopes, Power supplies, Data acquisition, LabView, CAD, FPGA, CREO, MatLab, Altium, Igor, Graphite", "professionalSkills" : [ "Work priorities", "Technical excellence", "Technical products" ], "hardSkillsList" : [ "Electrical design", "Electrical testing", "System troubleshooting", "Drawing creation", "Procedure creation" ], "hardSkills" : [ { "name" : "Electrical design", "level" : "intermediate" }, { "name" : "Electrical testing", "level" : "intermediate" }, { "name" : "System troubleshooting", "level" : "intermediate" }, { "name" : "Drawing creation", "level" : "intermediate" }, { "name" : "Procedure creation", "level" : "intermediate" } ], "majorSkills" : "Electrical Design, Test Fixtures, Energy Systems", "majorSkillsList" : [ "Electrical Design", "Test Fixtures", "Energy Systems" ], "coreResponsibilities" : "Provide sustaining support, Work with hardware, Work with software, Design hardware, Design software, Install hardware, Install software, Test hardware, Test software, Troubleshoot hardware, Troubleshoot software, Create hardware drawings, Create software drawings, Create hardware procedures, Create software procedures, Troubleshoot with electrical test equipment, Design unique test fixtures, Design unique test methods, Provide support in Energy Systems Test Area, Perform electrical engineering design, Perform test functions, Perform maintenance functions, Maintain technical excellence, Ensure quality of technical products, Generate documentation", "teamCollaboration" : "Work in a team environment", "projectManagementSkills" : [ "Planning", "Work priorities" ], "domainKnowledge" : "Electrical Engineering field; Energy Systems; Space exploration; International Space Station; Orion; Commercial Crew", "domainList" : [ "electrical-engineering-field", "energy-systems", "space-exploration", "international-space-station", "orion", "commercial-crew" ], "domainSpecificKnowledge" : [ "Electrical Engineering field", "Energy Systems", "Space exploration", "International Space Station", "Orion", "Commercial Crew" ], "toolProficiency" : [ "MS Office", "Excel", "PowerPoint", "Word", "Outlook", "National Instruments", "LabView", "Diadem", "CREO", "MatLab", "Altium", "Igor", "Graphite" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Documentation generation", "continuousLearning" : "Personal career growth; Professional career growth", "innovationCreativity" : "Creative ideas", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Proof of U.S. Citizenship, U.S Permanent Residency, Background investigation, Office environment, Inside work, Outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Standard office equipment, Regular attendance, Work outside normal schedule, Adjust schedule, Professional behavior, Appropriate grooming, Appropriate dress", "qualificationsBasic" : "Bachelor's degree in Engineering, 2-5 years of experience, Familiar with standard concepts, Electrical design experience, Familiar with electrical test equipment, Experience troubleshooting systems, Creating drawings and procedures, Proficient in MS Office programs, Experience planning work priorities", "qualificationsPreferred" : "BS degree in engineering, 5 years of related experience, MS degree in engineering, 4 years of related experience, Ph.D. in engineering, 0 years of related experience, Experience with National Instruments, Experience with LabView, Experience with Diadem, Experience with CAD, Experience with instrumentation, Experience with data acquisition, Experience with controls, Experience with FPGA, Experience with real time Data Acquisition, Experience with Control systems, Exposure to thermal systems, Exposure to vacuum systems, Experience with CREO, Experience with MatLab, Experience with Altium, Experience with Igor, Experience with Graphite", "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. Jacobs is NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We are looking for an Electrical Design and Test Engineer Battery/Power to join our team with JETS II teammate company. The selected candidate will: Provide support including sustaining and working with hardware and software in the areas of design, installation, testing and troubleshooting. This includes creating hardware and software system design and installation drawings and procedures, troubleshooting with electrical test equipment (i.e. voltmeters, oscilloscopes, power supplies, etc.). Design unique tests fixtures and methods for advanced development test programs for the International Space Station, Orion and Commercial Crew. Provide support in the Energy Systems Test Area with electrical engineering design, test and maintenance functions. Maintain the high level of technical excellence for all tasks to ensure the highest quality of technical products including test setups, development setups, and documentation generation. Perform other tasks assigned. Required Education/Experience/Skills: 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. Must be familiar with standard concepts, practices, and procedures within the Electrical Engineering field. Must have electrical design experience. Must be familiar with electrical test equipment (i.e. voltmeters, oscilloscopes, power supplies, etc.). Must have experience troubleshooting systems as well as creating drawings and procedures for electrical systems. Proficient in MS Office programs, particularly Excel, PowerPoint, Word and Outlook. Experience planning and establishing work priorities. Excellent communication and organizational skills and the ability to work in a team environment. Requisition Preferences: BS degree in engineering from an accredited engineering school and five (5) years of related engineering experience, or a MS degree from an accredited engineering school and four (4) years of related engineering experience, or Ph.D. from an accredited engineering school and zero (0) years of related experience. Experience with National Instruments data acquisition equipment and software (LabView) and Diadem. Experience with CAD, instrumentation, data acquisition and controls. Experience with FPGA and real time Data Acquisition and Control systems. Exposure to environments such as thermal and vacuum systems. Experience with other software packages such as CREO, MatLab, Altium, Igor, and Graphite. Why Work on Our Team? Click on the below links to view just a small sample of all that we do! Come join our team and be part of our future. We look forward to seeing you! See What We Do Jacobs Aerospace Solutions Overview (Please view in Chrome or Microsoft Edge) In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off) 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 is 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. United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Electrical Design and Test Engineer Battery/Power at Jacobs. Skills: Electrical Design, Test Fixtures, Energy Systems. Provide sustaining support. 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"dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caf4f74d8ee00a09d69b9", "title" : "Senior Engineering Manager, Modeling & Simulation", "company" : "Code Metal", "industry" : "Model & Simulation", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Engineering Manager in Boston, USA, adjusted for industry and company size." }, "location" : "Boston Hub", "locations" : [ "Boston Hub" ], "timestamp" : "2026-06-15T09:52:31.012", "fingerprint" : "475331176ed8df6d805435377c14230ddb46456e6e9e9cd834dbb8d018eeade0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/code-metal/779fb0c0-ee12-4b1b-bfb9-e46e928e3b10/application", "externalId" : "779fb0c0-ee12-4b1b-bfb9-e46e928e3b10", "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", "experienceLevel" : "Manager", "technicalSkills" : "DSP, RF, Embedded signal processing, GPU, FPGA, ASIC, Edge SoC, Backend systems, Distributed systems, Data systems, Infrastructure, Full-stack development", "professionalSkills" : [ "System design", "Architecture", "Execution", "Quality", "Hiring", "Coaching", "Operational rigor", "People leadership", "Technical judgment", "Delivery ownership", "Planning", "Prioritization", "Incident response", "Cross-team coordination", "Performance management", "Career development", "Team health" ], "hardSkillsList" : [ "Code quality", "System design", "Testing", "Observability", "Documentation", "Pragmatic execution", "Code translation", "Algorithm deployment", "Simulation infrastructure", "Scenario systems", "Data models", "Evaluation pipelines", "Decision-support workflows", "Software engineering practices", "Schema management", "Migrations", "Release hygiene", "API design", "Persistence layers", "User-facing workflows", "Domain logic", "Edge cases", "Data correctness", "Operational rules", "Serious users" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Code quality", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Pragmatic execution", "level" : "intermediate" }, { "name" : "Code translation", "level" : "intermediate" }, { "name" : "Algorithm deployment", "level" : "intermediate" }, { "name" : "Simulation infrastructure", "level" : "intermediate" }, { "name" : "Scenario systems", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Evaluation pipelines", "level" : "intermediate" }, { "name" : "Decision-support workflows", "level" : "intermediate" }, { "name" : "Software engineering practices", "level" : "intermediate" }, { "name" : "Schema management", "level" : "intermediate" }, { "name" : "Migrations", "level" : "intermediate" }, { "name" : "Release hygiene", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Persistence layers", "level" : "intermediate" }, { "name" : "User-facing workflows", "level" : "intermediate" }, { "name" : "Domain logic", "level" : "intermediate" }, { "name" : "Edge cases", "level" : "intermediate" }, { "name" : "Data correctness", "level" : "intermediate" }, { "name" : "Operational rules", "level" : "intermediate" }, { "name" : "Serious users", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Modeling & Simulation, Engineering leadership, Scalable systems, High-consequence decisions", "majorSkillsList" : [ "Modeling & Simulation", "Engineering leadership", "Scalable systems", "High-consequence decisions" ], "coreResponsibilities" : "Lead and scale organization, Set technical direction, Create engineering culture, Raise bar for quality, Focus team on shipping, Convert needs into plans, Own delivery across workstreams, Build operating rhythms, Partner with teams, Identify execution risks, Establish engineering practices, Drive better abstractions, Improve reliability, Improve scalability, Improve maintainability, Ensure team reasons about logic, Build durable systems, Manage engineers, Mentor engineers, Develop engineers, Recruit engineering talent, Build technical bench, Create growth paths, Run performance management, Run feedback processes, Run career development, Run team health processes, Create environment for best work", "teamCollaboration" : "Partner with product; Partner with AI; Partner with systems engineering; Partner with design; Partner with customer-facing teams; Cross-team coordination", "projectManagementSkills" : [ "Planning", "Prioritization", "Execution", "Roadmap planning" ], "domainKnowledge" : "Code translation; DSP algorithms; RF algorithms; Communications algorithms; Embedded signal processing; Heterogeneous compute targets; Constrained hardware; Simulation infrastructure; Scenario systems; Data models; Evaluation pipelines; Decision-support workflows; Geospatial data; Event sourcing; Provenance; Versioned datasets; Replay systems; API schema design; Government programs; Classified environments; Security-sensitive deployments; Autonomous vehicles; Robotics; Logistics optimization; Geospatial platforms; Developer platforms; Payments infrastructure; Large-scale product engineering", "domainList" : [ "code-translation", "dsp-algorithms", "rf-algorithms", "communications-algorithms", "embedded-signal-processing", "heterogeneous-compute-targets", "constrained-hardware", "simulation-infrastructure", "scenario-systems", "data-models", "evaluation-pipelines", "decision-support-workflows", "geospatial-data", "event-sourcing", "provenance", "versioned-datasets", "replay-systems", "api-schema-design", "government-programs", "classified-environments", "security-sensitive-deployments", "autonomous-vehicles", "robotics", "logistics-optimization", "geospatial-platforms", "developer-platforms", "payments-infrastructure", "large-scale-product-engineering" ], "domainSpecificKnowledge" : [ "Code translation", "DSP algorithms", "RF algorithms", "Communications algorithms", "Embedded signal processing", "Heterogeneous compute targets", "Constrained hardware", "Simulation infrastructure", "Scenario systems", "Data models", "Evaluation pipelines", "Decision-support workflows", "Geospatial data", "Event sourcing", "Provenance", "Versioned datasets", "Replay systems", "API schema design", "Government programs", "Classified environments", "Security-sensitive deployments", "Autonomous vehicles", "Robotics", "Logistics optimization", "Geospatial platforms", "Developer platforms", "Payments infrastructure", "Large-scale product engineering" ], "toolProficiency" : [ "Pydantic", "JSON Schema", "Protobuf", "GraphQL", "OpenAPI", "PostGIS" ], "problemSolvingSkills" : "Technical judgment; Problem solving", "qualificationsBasic" : "5+ years software engineering, 3+ years engineering management, Manage teams of 8+, Backend systems foundation, Distributed systems foundation, Data systems foundation, Infrastructure foundation, Full-stack development foundation, Set technical direction, Make architecture decisions, Guide complex implementation, High standards for code quality, High standards for testing, High standards for reliability", "qualificationsPreferred" : "Experience in simulation, Experience in autonomy, Experience in robotics, Experience in mapping, Experience in logistics, Experience in planning, Experience in geospatial systems, Experience in infrastructure, Experience in decision-support platforms, Experience building simulation systems, Experience building evaluation systems, Familiarity with PostGIS, Familiarity with geospatial data, Familiarity with event sourcing, Familiarity with provenance, Familiarity with versioned datasets, Familiarity with replay systems, Experience with API schema design, Experience with Pydantic, Experience with JSON Schema, Experience with protobuf, Experience with GraphQL, Experience with OpenAPI, Experience with government customers, Experience with defense customers, Experience with aerospace customers, Experience with security-sensitive deployments", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT CODE METAL Code Metal is redefining code translation for mission-critical industries, helping defense partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We also support automotive, aerospace, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor. ABOUT THE ROLE Code Metal is looking for a Senior Engineering Manager to lead our Modeling & Simulation organization. This is a role for an engineering leader who can build and run a high-performing 10 to 30 person technical organization. You will lead engineers building scalable simulation, evaluation, data, and decision-support systems used to test complex algorithms, model operational environments, and support high-consequence decisions. The ideal candidate has managed strong software teams before, has a high bar for engineering quality, and knows how to turn ambiguous technical goals into durable systems, clear execution plans, and healthy teams. Experience in simulation, autonomy, robotics, logistics, planning, geospatial systems, or defense is helpful, but the core need is engineering leadership: architecture, execution, quality, hiring, coaching, and operational rigor. This role is equal parts people leadership, technical judgment, and delivery ownership. You will set direction, grow the team, establish engineering standards, and work closely with product, AI, systems, and customer-facing teams to build platforms that scale. WHAT YOU’LL OWN ENGINEERING LEADERSHIP - Lead and scale a Modeling & Simulation engineering organization of roughly 10 to 30 engineers across backend, data, simulation, infrastructure, and frontend/platform surfaces. - Set the technical direction for simulation infrastructure, scenario systems, data models, evaluation pipelines, and decision-support workflows. - Create a strong engineering culture around code quality, clear ownership, system design, testing, observability, documentation, and pragmatic execution. - Raise the bar for architecture and implementation quality while keeping the team focused on shipping useful systems. - Help the team make the right long-term technical investments without losing urgency or customer focus. EXECUTION AND DELIVERY - Convert ambiguous customer, product, and research needs into executable engineering plans. - Own delivery across multiple workstreams, balancing speed, quality, technical debt, and long-term platform leverage. - Build lightweight but effective operating rhythms for planning, reviews, prioritization, incident response, and cross-team coordination. - Partner with product, AI, systems engineering, design, and customer-facing teams to deliver integrated capabilities. - Identify execution risks early and create clarity around tradeoffs, sequencing, and staffing. ENGINEERING QUALITY AND SYSTEMS - Establish and enforce strong software engineering practices across reviews, testing, CI/CD, schema management, migrations, observability, and release hygiene. - Drive better abstractions across simulation services, data pipelines, APIs, persistence layers, and user-facing workflows. - Improve reliability, scalability, and maintainability of systems used for large-scale simulation, evaluation, and analysis. - Ensure the team can reason carefully about domain logic, edge cases, data correctness, and how operational rules map into software. - Build systems that are durable enough for serious users, not just demos. PEOPLE AND ORGANIZATION - Manage, mentor, and develop a team of engineers, including senior ICs and potential team leads or managers. - Recruit and close strong engineering talent from high-performing software, autonomy, simulation, data infrastructure, and platform teams. - Build a strong technical bench and create clear growth paths for engineers. - Run effective performance management, feedback, career development, and team health processes. - Create an environment where strong engineers can do their best work without excessive process or ambiguity. WHAT WE’RE LOOKING FOR - 5+ years of software engineering experience and 3+ years of engineering management experience. - Experience managing teams of 8+ engineers, with a path toward leading a 10 to 30 person organization. - Strong software engineering foundation across backend systems, distributed systems, data systems, infrastructure, or full-stack product/platform development. - Demonstrated ability to set technical direction, make architecture decisions, and guide teams through complex implementation work. - Strong track record building engineering cultures with high standards for code quality, testing, reliability, and maintainability. - Experience partnering across product, design, research, data, systems engineering, or customer-facing teams. - Ability to operate in ambiguous environments and turn loosely defined goals into concrete execution plans. - Strong communication skills with engineers, executives, customers, and cross-functional stakeholders. - Comfort reviewing technical designs, asking good questions, identifying risks, and helping teams make better tradeoffs. TECHNICAL DEPTH WE VALUE - Experience with Python, C++, TypeScript, or similar production languages. - Experience with relational databases such as PostgreSQL, including schema design, constraints, query performance, and migrations. - Strong understanding of APIs, typed contracts, service boundaries, data models, and versioned interfaces. - Experience with data ingestion, transformation, normalization, lineage, or evaluation pipelines. - Familiarity with distributed systems, event-driven architectures, workflow systems, or large-scale compute infrastructure. - Experience building platforms used by other engineers, analysts, operators, researchers, or technical customers. PREFERRED QUALIFICATIONS - Experience in simulation, autonomy, robotics, mapping, logistics, planning, geospatial systems, infrastructure, or decision-support platforms. - Experience from companies or teams with strong engineering cultures such as Uber, Waymo, Cruise, Zoox, Aurora, Anduril, Palantir, Stripe, Databricks, Snowflake, SpaceX, Applied Intuition, NVIDIA, or similar. - Experience building simulation or evaluation systems for autonomous vehicles, robotics, operational planning, gaming, digital twins, or large-scale system testing. - Familiarity with PostGIS, geospatial data, event sourcing, provenance, versioned datasets, or replay systems. - Experience with API schema design and typed contracts such as Pydantic, JSON Schema, protobuf, GraphQL, or OpenAPI. - Experience working with government, defense, aerospace, or other high-consequence customers. - Familiarity with SBIRs, OTAs, direct government programs, classified environments, or security-sensitive deployments is helpful but not required. TARGET BACKGROUNDS Strong candidates may come from simulation infrastructure, autonomy, robotics, logistics optimization, geospatial platforms, data infrastructure, developer platforms, payments infrastructure, or large-scale product engineering teams. We are especially interested in managers who have led teams building complex systems where correctness, reliability, and operational maturity matter. Relevant backgrounds include Uber marketplace or autonomy-adjacent infrastructure, Waymo or other AV simulation and evaluation teams, Stripe infrastructure or platform teams, Palantir ontology or operational application teams, Databricks or Snowflake data systems, Applied Intuition simulation, Anduril autonomy, robotics companies, mapping platforms, and serious infrastructure teams inside large technology companies. BENEFITS - Pay depends on experience, but we strive to be at the upper end of the salary range - Health care plan with 100% premium coverage, including medical, dental, and vision - 401k with 5% matching - Paid Time Off (uncapped vacation, plus sick and public holidays) - Flexible hybrid or remote work arrangement - Relocation assistance for qualifying employees We are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.", "summaryDescription" : "Senior Engineering Manager, Modeling & Simulation at Code Metal. Skills: Modeling & Simulation, Engineering leadership, Scalable systems, High-consequence decisions. Lead and scale organization. Set technical direction", "createdAt" : "2026-06-13T23:18:49.945", "lastUpdated" : "2026-06-15T09:52:31.012", "ingestTimestamp" : "2026-06-13T23:18:49.945", "mongoId" : "6a2caf4f74d8ee00a09d69b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Code quality", "System design", "Testing", "Observability", "Documentation", "Pragmatic execution", "Code translation", "Algorithm deployment", "Simulation infrastructure", "Scenario systems", "Data models", "Evaluation pipelines", "Decision-support workflows", "Software engineering practices", "Schema management", "Migrations", "Release hygiene", "API design", "Persistence layers", "User-facing workflows", "Domain logic", "Edge cases", "Data correctness", "Operational rules", "Serious users", "Leadership", "Mentoring", "Modeling & Simulation", "Engineering leadership", "Scalable systems", "High-consequence 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"seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a688574d8ee00a06346e5", "title" : "(New College Grad) Engineer - Shift Process", "company" : "Micron Technology", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level engineers in Boise, adjusted for Micron Technology's size and the technology industry." }, "location" : "Boise, ID - Main Site", "locations" : [ "Boise, ID - Main Site", "United States of America" ], "timestamp" : "2026-06-12T23:59:29.654", "fingerprint" : "a00456025093bd8c9b5f1f153c9c3421fac92644bf1cc74ddadeaaefe7fcbeeb", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Boise-ID---Main-Site/XMLNAME--New-College-Grad--Engineer---Shift-Process_JR103341", "externalId" : "JR103341", "industryFunction" : { }, "locationPoint" : "43.6135,-116.20345", "structuredLocations" : [ { "city" : "Boise", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6166163,-116.2008860" } ], "locationText" : "Boise, Idaho, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, Java, Tableau, Matlab", "professionalSkills" : [ "Process quality", "Manufacturing efficiency", "Cost reduction", "Wafer output optimization", "Process troubleshooting", "Process owners", "Process optimization", "Tool availability", "Tool performance", "Yield loss", "Defect resolution", "Tool restrictions", "Output disruptions", "Equipment teams", "Operations leaders", "Stakeholders", "Documentation", "Procedures" ], "hardSkillsList" : [ "Statistical Process Control", "Design of Experiments", "Data analysis", "Process decisions" ], "hardSkills" : [ { "name" : "Statistical Process Control", "level" : "intermediate" }, { "name" : "Design of Experiments", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process decisions", "level" : "intermediate" } ], "majorSkills" : "Process engineering, Statistical Process Control, Data analysis", "majorSkillsList" : [ "Process engineering", "Statistical Process Control", "Data analysis" ], "coreResponsibilities" : "Improve process quality, Improve yield, Improve efficiency, Drive cost reduction, Optimize wafer output, Monitor SPC data daily, Resolve process issues, Address chronic failures, Apply SPC methodologies, Apply FDC methodologies, Apply 8D methodologies, Troubleshoot issues, Optimize processes, Improve tool availability, Improve tool performance, Identify yield loss risks, Resolve yield loss risks, Identify defects, Resolve defects, Identify tool restrictions, Resolve tool restrictions, Identify output disruptions, Resolve output disruptions, Escalate yield loss risks, Escalate defects, Escalate tool restrictions, Escalate output disruptions, Partner with equipment teams, Partner with operations leaders, Partner with stakeholders, Execute priorities, Maintain accurate documentation, Maintain accurate procedures", "teamCollaboration" : "Cross-functional teams; Equipment teams; Operations leaders; Stakeholders", "domainKnowledge" : "Semiconductor fabrication; Statistical Process Control; Design of Experiments; FDC methodologies; 8D methodologies", "domainList" : [ "semiconductor-fabrication", "statistical-process-control", "design-of-experiments", "fdc-methodologies", "8d-methodologies" ], "domainSpecificKnowledge" : [ "Semiconductor fabrication", "Statistical Process Control", "Design of Experiments", "FDC methodologies", "8D methodologies" ], "toolProficiency" : [ "Python", "Java", "Tableau", "Matlab", "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Accurate documentation; Accurate procedures", "problemSolvingSkills" : "Troubleshoot issues; Resolve process issues; Address chronic failures; Identify yield loss risks; Resolve yield loss risks; Identify defects; Resolve defects; Identify tool restrictions; Resolve tool restrictions; Identify output disruptions; Resolve output disruptions", "specialRequirements" : "Rotate across shifts", "outcomesObjectives" : "Improve process quality; Improve yield; Improve efficiency; Drive cost reduction; Optimize wafer output; Meet operational KPIs; Ensure successful wafer production", "qualificationsBasic" : "Bachelor's or Master's degree, Chemical Engineering, Electrical Engineering, Materials Science, Physics, or related field, Flexibility to work and rotate across shifts, In-depth knowledge of Statistical Process Control, In-depth knowledge of Design of Experiments, Proficiency in Python, Java, Tableau, Matlab, or Microsoft Office tools, Ability to analyze data and make critical process decisions", "qualificationsPreferred" : "Experience with data collection systems, Experience with data warehousing, Experience with data cleansing, Hands-on experience in data analytics, Querying databases, Intermediate understanding of semiconductor fabrication processes, Intermediate understanding of semiconductor equipment, Intermediate understanding of semiconductor supporting systems, Demonstrated time management skills, Demonstrated organization skills, Demonstrated prioritization skills, Demonstrated communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "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. Micron’s Boise, Idaho site is undergoing a historic investment to expand semiconductor manufacturing capabilities, supporting the company’s broader commitment to innovation and technology transformation. As part of this global expansion, the Boise team plays a critical role in advancing DRAM production and enabling the next generation of semiconductor solutions. The ID1 High Volume Manufacturing Shift Process Engineer drives process quality and manufacturing efficiency within a high-volume production environment. This role focuses on improving yield, optimizing throughput, resolving line issues, and partnering with cross-functional teams to meet operational KPIs and ensure successful wafer production. **Responsibilities** * Improves process quality, yield, and efficiency while driving cost reduction and optimizing wafer output * Monitors and analyzes SPC data daily, resolving process issues and addressing chronic failures with process owners * Applies SPC, FDC, and 8D methodologies to troubleshoot issues, optimize processes, and improve tool availability and performance * Identifies and resolves or escalates yield loss risks, defects, tool restrictions, and output disruptions in a timely manner * Partners with equipment teams, operations leaders, and stakeholders to execute priorities and maintain accurate documentation and procedures **Minimum Qualifications** * Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field * Flexibility to work and rotate across shifts as needed * In-depth knowledge of Statistical Process Control and Design of Experiments * Proficiency in one or more programming or data analysis tools such as Python, Java, Tableau, Matlab, or Microsoft Office tools * Ability to analyze data and make critical process decisions to support manufacturing operations **Preferred Qualifications** * Strong verbal and written communication skills * Experience with data collection systems, data warehousing, and data cleansing * Hands-on experience in data analytics, including querying databases * Intermediate understanding of semiconductor fabrication processes, equipment, and supporting systems * Demonstrated time management, organization, prioritization, and communication skills 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" : "(New College Grad) Engineer - Shift Process at Micron Technology. Skills: Process engineering, Statistical Process Control, Data analysis. Improve process quality. Improve yield", "postedDate" : "2026-06-11T15:42:35.057", "createdAt" : "2026-06-11T15:42:34.847", "lastUpdated" : "2026-06-12T23:59:29.654", "ingestTimestamp" : "2026-06-11T15:42:34.847", "mongoId" : "6a2a688574d8ee00a06346e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Boise-ID---Main-Site/XMLNAME--New-College-Grad--Engineer---Shift-Process_JR103341", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical Process Control", "Design of Experiments", "Data analysis", "Process decisions", "Process engineering", "Process quality", "Manufacturing efficiency", "Cost reduction", "Wafer output optimization", "Process troubleshooting", "Process owners", "Process optimization", "Tool availability", "Tool performance", "Yield loss", "Defect resolution", "Tool restrictions", "Output disruptions", "Equipment teams", "Operations leaders", "Stakeholders", "Documentation", "Procedures", "Semiconductor fabrication", "FDC methodologies", "8D methodologies", "Python", "Java", "Tableau", "Matlab", "Microsoft Office" ], "skillCount" : 31, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a305a22f292fd229cf4d88f", "title" : "Forward Deployed Software Engineer, New Grad - Intel, US Government", "company" : "Palantir", "industry" : "Delta", "salary" : { "min" : 125000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level software engineers in Washington D.C. was adjusted for Palantir's company size and the technology industry." }, "location" : "Washington, D.C.", "locations" : [ "Washington, D.C." ], "timestamp" : "2026-06-16T12:47:43.320", "fingerprint" : "e69a47738c749b8b7ad38687965ded4de6d17a3c8b4f8cc6069987707a28841b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/palantir/fbca0358-083a-4222-bdbb-3bd729b48382/apply", "externalId" : "fbca0358-083a-4222-bdbb-3bd729b48382", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, Java, Go, JavaScript, SQL, Bash, Linux, AWS, Azure, GCP, Docker, Kubernetes, Git, CI/CD", "professionalSkills" : [ "System design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Data analysis", "Cybersecurity", "Cloud computing", "Machine learning" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Cybersecurity", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Software engineering, Data science, Cybersecurity, Cloud engineering", "majorSkillsList" : [ "Software engineering", "Data science", "Cybersecurity", "Cloud engineering" ], "coreResponsibilities" : "Design, build, and maintain software systems, Develop and deploy machine learning models, Analyze and secure large datasets, Collaborate with cross-functional teams, Write clean, maintainable code, Participate in code reviews, Troubleshoot and debug issues, Stay up-to-date with new technologies", "teamCollaboration" : "Cross-functional teams; Agile development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Software development; Data science; Cybersecurity; Cloud computing; Machine learning", "domainList" : [ "software-development", "data-science", "cybersecurity", "cloud-computing", "machine-learning" ], "domainSpecificKnowledge" : [ "Software development", "Data science", "Cybersecurity", "Cloud computing", "Machine learning" ], "toolProficiency" : [ "Git", "Docker", "Kubernetes", "CI/CD tools" ], "communicationSkills" : "Technical presentations; Written reports", "documentationSkills" : "Technical documentation; Code documentation", "continuousLearning" : "Professional development; Mentorship", "innovationCreativity" : "Research and development; Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "specialRequirements" : "Ability to obtain security clearance", "outcomesObjectives" : "Deliver high-quality software; Contribute to mission success; Drive innovation", "qualificationsBasic" : "Bachelor's degree or higher, Strong academic record, Completed or will complete by June 2024", "qualificationsPreferred" : "Experience with software development, Experience with data analysis, Experience with cybersecurity, Experience with cloud computing, Experience with machine learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like \"How do we evaluate wildfire risk and optimize a power grid as a result\" or \"How do we quickly assess our food supply chain and modify it to deliver life saving assistance on time?\" As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Core Responsibilities As an FDSE your responsibilities look similar to those of a startup CTO. You’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. ## Our Principles Impact: We address meaningful and exciting projects that change the world for the better. Ownership: We see projects through from beginning to end, working through any obstacles we may encounter. We trust each other to effectively handle time and priorities and give people the space to think for themselves. Collaboration: We work internally with people from a variety of backgrounds — such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and tackle their problems. Growth: We believe experiential learning is one of the best teachers and encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge. ## What We Value Ability to continuously learn, work independently, and make decisions with minimal direction. Ability to collaborate in teams of technical and non-technical individuals, and comfortable working in a constantly evolving environment with dynamic objectives and iteration with users. An eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Interest in working with and using large scale data to solve valuable business problems. Willingness and interest to travel as needed to client sites. Ability to travel 25-50% preferred, but requirements vary by team and location. ## What We Require Active Full Scope Poly level US security clearance. Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar. ## To apply, please include the following An updated resume / CV - please do so in PDF format. Thoughtful responses to our application questions. ## Additional Information Salary The estimated salary range for this position is estimated to be $135,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance • Commuter benefits • Relocation assistance • Take what you need paid time off, not accrual based • 2 weeks paid time off built into the end of each year (subject to team and business needs) • 10 paid holidays throughout the calendar year • Supportive leave of absence program including time off for military service and medical events • Paid leave for new parents and subsidized back-up care for all parents • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation • Stipend to help with expenses that come with a new child • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3). If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.", "summaryDescription" : "Forward Deployed Software Engineer, New Grad - Intel, US Government at Palantir. Skills: Software engineering, Data science, Cybersecurity, Cloud engineering. Design, build, and maintain software systems. Develop and deploy machine learning models", "postedDate" : "2026-06-15T16:08:02.343", "createdAt" : "2026-06-15T16:08:02.343", "lastUpdated" : "2026-06-16T12:47:43.320", "ingestTimestamp" : "2026-06-16T03:22:06.141", "mongoId" : "6a305a22f292fd229cf4d88f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Data analysis", "Cybersecurity", "Cloud computing", "Machine learning", "Software engineering", "Data science", "Cloud engineering", "System design", "Problem solving", "Analytical thinking", "Agile", "Scrum", "Git", "Docker", "Kubernetes", "CI/CD tools" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68e174d8ee00a09051ce", "title" : "Simulation Engineer", "company" : "Applied Intuition", "industry" : "VehicleSim", "salary" : { "min" : 120000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "ANN-Green", "locations" : [ "ANN-Green" ], "timestamp" : "2026-06-16T02:22:14.230", "fingerprint" : "cb423a6395cc16403b13ea2c1ff54a784fdb9c39ebc188e12f221b83de93f7b3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/e9905141-0bfe-4e24-b83a-ebc9698ffe41/application", "externalId" : "e9905141-0bfe-4e24-b83a-ebc9698ffe41", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ann Arbor", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2813722,-83.7484616" } ], "locationText" : "Ann Arbor, Michigan, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, Java, Go, Rust, JavaScript, TypeScript, React, Vue, Angular, Node.js, SQL, NoSQL, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, AWS, GCP, Azure, Kubernetes, Docker, Terraform, Ansible, CI/CD, Git, Linux, Bash", "professionalSkills" : [ "System design", "Algorithm design", "Data structures" ], "hardSkillsList" : [ "Software development", "Distributed systems", "Scalable systems", "Performance optimization", "Debugging", "Testing" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Scalable systems", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" } ], "majorSkills" : "Software Engineering, Distributed Systems, Scalability", "majorSkillsList" : [ "Software Engineering", "Distributed Systems", "Scalability" ], "coreResponsibilities" : "Design and implement scalable software systems, Develop robust and efficient code, Optimize system performance, Write comprehensive tests, Debug and resolve complex issues, Collaborate with cross-functional teams, Mentor junior engineers, Contribute to architectural decisions, Maintain and improve existing systems, Ensure system reliability and availability", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "projectManagementSkills" : [ "Agile methodologies", "Scrum" ], "domainKnowledge" : "Distributed systems; Cloud computing; Microservices architecture; API design; Database technologies; Operating systems", "domainList" : [ "distributed-systems", "cloud-computing", "microservices-architecture", "api-design", "database-technologies", "operating-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud computing", "Microservices architecture", "API design", "Database technologies", "Operating systems" ], "toolProficiency" : [ "Git", "Docker", "Kubernetes", "Terraform", "CI/CD tools" ], "documentationSkills" : "Technical documentation; Architecture diagrams", "continuousLearning" : "Professional development; Learning new technologies", "problemSolvingSkills" : "Problem solving; Analytical thinking; Troubleshooting", "qualificationsBasic" : "5+ years experience, Master's degree", "rawDescription" : "ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. We are looking for simulation engineers interested in designing elegant solutions to difficult problems in the autonomy and mobility space. Simulation Application Engineers work with external and internal users to develop VehicleSim and ADP based applications and models. Our engineers source valuable feedback from users to effectively drive and influence product direction. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied, you will: - Develop new applications that can be used and then modified by automotive customers to improve their simulations - Collaborate closely with our automotive customers to provide technical support and collect data for new feature development - Create thorough documentation for new and existing software applications - Test and provide feedback for new versions of our software - Work closely with cross functional team to develop and conduct customer training remotely and onsite We're looking for someone who has: - A MS in Mechanical Engineering or a BS with relevant industry experience - 5+ years of hands on experience in the automotive industry - Experience using simulation software such as CarSim, Simulink, CarMaker, Adams, or similar tools - Evaluated vehicle dynamics behavior at the system level such as response to driver controls - Experience evaluating Advanced Driver Assistance Systems at the system level - Familiarity using AI tooling to accelerate development safely Nice to have: - Familiarity or experience using our products (CarSim, BikeSim, TruckSim, and SuspensionSim) - Experience creating new projects (steering, braking, or other AV/ADAS enabling controllers) using our products and MATLAB/Simulink. - Ability to program as needed to support automation and integration of multiple software tools - Worked with automotive driving simulators and real-time simulation systems such as DSPACE, Concurrent, NI, and VI-Grade. - Experience with Unreal Game Engine Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Simulation Engineer at Applied Intuition. Skills: Software Engineering, Distributed Systems, Scalability. Design and implement scalable software systems. 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"hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30876cf292fd229c088d53", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T12:36:05.865", "fingerprint" : "0867ba40da51d162ee8ae4073923097c2ea972d8898ffbe1818eefa6d825a9fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999719?gh_jid=7999719", "externalId" : "7999719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" 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"Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering", "postedDate" : "2026-06-16T01:21:50.550", "createdAt" : "2026-06-16T01:21:50.550", "lastUpdated" : "2026-06-16T12:36:05.865", "ingestTimestamp" : "2026-06-16T01:21:50.550", "mongoId" : "6a30876cf292fd229c088d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30876cf292fd229c088d52", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T12:18:23.439", "fingerprint" : "5e5f2e0dc44c587b5ed49a146b58778d441dc227b991c38aa9c349a24e3dec0e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7992078?gh_jid=7992078", "externalId" : "7992078", "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", "minimumEducation" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain data infrastructure, Analyze large datasets, Develop dashboards and reports, Collaborate with cross-functional teams, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power 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with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:21:03.300", "createdAt" : "2026-06-16T01:21:03.300", "lastUpdated" : "2026-06-16T12:18:23.439", "ingestTimestamp" : "2026-06-16T01:21:03.300", "mongoId" : "6a30876cf292fd229c088d52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30876cf292fd229c088d54", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T11:01:28.921", "fingerprint" : "8d11c9891b3bddb75bf0d97edd72d2426d03638ef2bd2548f74347cbab4c5a94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999717?gh_jid=7999717", "externalId" : "7999717", "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", "minimumEducation" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Create and manage BI dashboards, Perform statistical analysis, Conduct quantitative research, Collaborate with engineering teams, Optimize data infrastructure", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. In the role of Design Intern (Fall 2026) Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Perform assignments under the direct supervision of an Architect, Project Manager, or other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Perform other duties as needed Preferred Qualifications 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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Fab Engineer", "company" : "Micron Technology", "industry" : "Semiconductor", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Fab Engineer in Manassas, VA, adjusted for Micron Technology's size and the technology industry." }, "location" : "Manassas, VA - Fab 6", "locations" : [ "Manassas, VA - Fab 6", "United States of America" ], "timestamp" : "2026-06-13T07:57:37.073", "fingerprint" : "7b7a03d52c69f7d0f736a40a938e8d212602e1f413694d8145f9c19654a7eba0", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Manassas-VA----Fab-6/NPW-Engineer_JR102579", "externalId" : "JR102579", "industryFunction" : { }, "locationPoint" : "38.75095,-77.47527", "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SPC", "professionalSkills" : [ "Process optimization", "Risk management", "Cost reduction", "Product quality", "Process yield", "Product reliability" ], "hardSkillsList" : [ "Failure analysis", "FMEA", "8D methodology", "SPC methodology", "DOE concepts" ], "softSkillsList" : [ "Problem-solving", "Analytical skills" ], "hardSkills" : [ { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "FMEA", "level" : "intermediate" }, { "name" : "8D methodology", "level" : "intermediate" }, { "name" : "SPC methodology", "level" : "intermediate" }, { "name" : "DOE concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" } ], "majorSkills" : "Process development, Yield improvement, Cost reduction", "majorSkillsList" : [ "Process development", "Yield improvement", "Cost reduction" ], "coreResponsibilities" : "Start up processes, Develop processes, Optimize processes, Improve product quality, Improve product reliability, Improve process yield, Reduce cost, Improve productivity, Manage risk, Resolve manufacturing line problems, Diagnose process related problems, Resolve process related problems, Coordinate process evaluation, Coordinate equipment evaluation, Coordinate material evaluation, Optimize process, Optimize equipment, Optimize material, Implement process changes, Lead yield improvement activities, Participate in yield improvement activities, Lead cost reduction activities, Participate in cost reduction activities, Handle new process baseline qualifications, Manage material suppliers, Audit material suppliers, Liaise with material suppliers, Achieve quality objectives, Achieve cost objectives, Achieve risk management objectives, Work with manufacturing Fab, Understand manufacturing issues, Identify equipment interactions, Evaluate equipment interactions, Identify module interactions, Evaluate module interactions, Identify process interactions, Evaluate process interactions, Resolve related issues, Utilize SPC methodology, Identify process variations, Resolve yield issues, Resolve reliability issues, Develop framework for process changes, Develop framework for process conversions, Initiate experiments, Manage experiments, Widen process margins, Test manufacturability, Support availability improvement projects, Focus on day-to-day tool downs, Communicate issues, Respond to issues, Manage test wafer inventories, Allocate test wafer inventories, Maintain test wafer management projects, Maintain automation setup, Maintain automation projects, Utilize micron software, Collaborate with other areas, Maintain bare wafer stocker inventories, Maintain bare wafer stocker configurations", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Semiconductor devices; Semiconductor processes; Characterization techniques; Process margins", "domainList" : [ "semiconductor-devices", "semiconductor-processes", "characterization-techniques", "process-margins" ], "domainSpecificKnowledge" : [ "Semiconductor devices", "Semiconductor processes", "Characterization techniques", "Process margins" ], "toolProficiency" : [ "Micron software" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "0 - 2 years of experience, Understanding of SPC methodology", "qualificationsPreferred" : "Understanding of semiconductor devices, Understanding of semiconductor processes, Understanding of characterization techniques, 2 years of Semiconductor process experience, CMP specific experience is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "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. As a **Fab Engineer** at Micron Technology, Inc., you will be working with a team of other process and equipment engineers responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. This position will identify, diagnose, and resolve process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives. _Responsibilities:_ * Work closely with manufacturing Fab and understand manufacturing issues * Identify and evaluate interactions between equipment, modules and processes and resolve related issues * Utilize SPC methodology to identify process variations * Resolve yield and reliability issues through multi-level SWRs using DOE concepts and develop framework for process changes and conversions * Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions – effective interaction with manufacturing on such areas. * Actively support availability improvement projects while keeping sharp focus on day-to-day tool downs issues * Communicate and respond to issues in a timely manner, with a cadence appropriate to the priority of the issue * Manage test wafer inventories and allocate necessary inventories to process areas * Maintain test wafer management projects and automation setup * Maintain the automation projects and utilize micron software to manage processes * Collaborate with other areas to maintain bare wafer stocker inventories and configurations _Minimum Qualifications:_ * Bachelor’s degree or Master of Engineering/Science with 0 - 2 years of experience * Understanding of SPC methodology _Preferred Qualifications:_ * Understanding of semiconductor devices, processes, and characterization techniques is preferred * Excellent collaboration, problem-solving, and analytical skills * 2 years of Semiconductor process or CMP specific experience is a plus 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" : "New College Grad - Fab Engineer at Micron Technology. Skills: Process development, Yield improvement, Cost reduction. Start up processes. 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The ideal candidate will be goal-oriented and tenacious. You will have experience working with technology and assisting customers. We are looking for a self-starter that will support our rapidly growing customer base. In this role, you will use your communication skills to effectively explain solutions to prospective customers (who are teachers, students, parents, and school administrators). This position requires you to be in our San Mateo, CA, headquarters office. We encourage new college graduates to apply including the class of 2026. WHAT YOU’LL BE DOING Conduct cold outbound calls and qualify inbound inquiries to identify customer needs and route high-potential opportunities to the field sales team Manage the end-to-end processing of transactional sales, ensuring accurate CRM data entry and quick lead follow-up Assist with the execution of targeted sales campaigns and provide administrative support to the broader sales team Research and identify potential growth opportunities within target markets to help the team achieve sales goals Deliver engaging virtual product demonstrations to prospective users, effectively communicating IXL’s value proposition WHAT WE’RE LOOKING FOR BA/BS degree Customer service, inside sales or education experience, preferably within the edtech or software industry Any K12 classroom experience is a plus Excellent listening, negotiation, and presentation skills Strong verbal (telephone) and written communications skills A high level of self-motivation, energy, and drive to succeed Ability to manage multiple projects at a time while paying strict attention to detail Understanding of web applications Salesforce.com experience is a plus Passion for improving education through technology! The base hourly rate for this full-time position is $25 to $26 per hour + commission eligibility + benefits. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire pay ranges for the position. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. ABOUT IXL LEARNING IXL Learning is the country's largest EdTech company. We reach millions of learners through our diverse range of products. For example: 1 in 4 students in the United States uses IXL.com Rosetta Stone provides an immersive learning experience for 25 languages Wyzant is the nation's largest community of tutors, covering 300+ subjects Teachers Pay Teachers (TPT) is a comprehensive marketplace for millions of educator-created resources Our mission is to create innovative products that will make a real, positive difference for learners and educators and we're looking for passionate, mission-minded people to join us in achieving this goal. We have a unique culture at IXL that fosters collaboration and the open exchange of ideas. We value our team and treat one another with kindness and respect. We approach our work with passion, tenacity, and authenticity. We find it immensely satisfying to develop products that impact the lives of millions and we are eager to have you join our team. At IXL, we value diversity in age, race, ethnicity, gender, sexual orientation, physical and mental ability, political and religious beliefs, and life experience, and we are proud to promote a work environment where everyone, from any background, can do their best work. IXL Learning is an equal opportunity employer and does not discriminate against applicants and employees based on any legally protected category.", "summaryDescription" : "Associate Educational Sales Consultant, Inside Sales, New Grad at IXL Learning", "postedDate" : "2026-06-16T01:16:52.137", "createdAt" : "2026-06-16T01:16:52.137", "lastUpdated" : "2026-06-16T14:03:20.580", "ingestTimestamp" : "2026-06-16T01:16:52.137", "mongoId" : "6a307febf292fd229c05f960", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 54080, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a220ddd74d8ee00a0d6f2cf", "title" : "CDL A DRIVER NEW GRAD ONLY", "company" : "4th Day Trucking", "industry" : "Logistics", "salary" : { "min" : 650.0, "max" : 1500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Gary, IN", "locations" : [ "Gary", "IN" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T22:57:31.058", "fingerprint" : "f57d6ea1c9ba2aa427a9e35b6251e3e0c03b5fab9d54d1dc80fe8c12f2414c9a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/61d8fc4ae4ec-cdl-a-driver-new-grad-only-get-your-career-started", "externalId" : "61d8fc4ae4ec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gary", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.5702561,-87.3365496" } ], "locationText" : "Gary, Indiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Deliver freight in Midwest states, Operate truck with trainer for 4-6 weeks", "domainKnowledge" : "Midwest states delivery", "domainList" : [ "midwest-states-delivery" ], "domainSpecificKnowledge" : [ "Midwest states delivery" ], "specialRequirements" : "Out 4-6 weeks, No touch freight", "qualificationsBasic" : "CDL A license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NEW GRAD driver position! OUT 4 to 6 weeks with a trainer and make 650.00 a week or more , then after training, you are home weekly making 1200 to 1500! Get your career started! LOTS OF FRIEGHT !! NO TOUCH FRIEGHT! New GRADS ONLY !! EASY JOB, GREAT PEOPLE! DELIVERS IN MID WEST STATES! It", "summaryDescription" : "CDL A DRIVER NEW GRAD ONLY at 4th Day Trucking. Deliver freight in Midwest states. Operate truck with trainer for 4-6 weeks", "createdAt" : "2026-06-14T21:54:05.860", "lastUpdated" : "2026-06-15T22:57:31.058", "ingestTimestamp" : "2026-06-14T21:54:05.860", "mongoId" : "6a220ddd74d8ee00a0d6f2cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33800, "salaryAnnualMax" : 78000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Midwest states delivery", "CDL A" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a66f292fd229c03b85b", "title" : "Simulation Intern", "company" : "AST SpaceMobile", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level Simulation Intern in Hyderabad, India, with adjustments for the technology industry and internship employment type." }, "location" : "Hyderabad, Telangana, India", "locations" : [ "Hyderabad", "Telangana", "India" ], "timestamp" : "2026-06-16T11:13:38.624", "fingerprint" : "a094afd2c8746c0b055f3c0999ee4ad0aff1cc2694a2cd261392de4dcb402d9a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ast-science.com/company/careers/?gh_jid=4699744005", "externalId" : "4699744005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a matlab developer for the simulation team Key Responsibilities: Need to develop models of embedded systems in matlab Qualifications Education: Enter required education or certifications B.Tech is needed ( preferably ECE) to be of matlab skills Experience: A minimum of 0 years Preferred Qualifications: List qualifications that are desired not required Soft Skills: LStrong interpersonal skills,Proven ability to collaborate effectively within cross-functional teams, Excellent written and verbal communication skills are essential

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