{ "count" : 15901, "data" : [ { "id" : "6a2ca35c74d8ee00a09ab607", "title" : "Materials Characterization Technician II", "company" : "Relativity Space", "salary" : { "min" : 25.0, "max" : 35.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Long Beach, California, United States", "locations" : [ "Long Beach", "California", "United States" ], "timestamp" : "2026-06-16T05:34:08.366", "fingerprint" : "7b241e6f6e174011ebb977ffb25c9a372048717080dcdbd703090b693e86ad15", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/relativity/jobs/8584421002?gh_jid=8584421002", "externalId" : "8584421002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7690164,-118.1916040" } ], "locationText" : "Long Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : false, "rawDescription" : "At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Materials and NDE (Non-Destructive Evaluation) team plays a central role in enabling Terran R to fly, re-fly, and scale: developing, characterizing, and inspecting materials and processes across all parts of the vehicle. From welding and additive manufacturing to advanced composites, the team works at the intersection of innovation and execution, balancing performance and reliability with cost, quality, and schedule. As we move toward first flight and beyond, the challenges become more exciting, offering opportunities to shape how we design and develop for re-use. With ownership across products, systems, and disciplines, engineers gain broad exposure and drive key decisions across design, manufacturing, and operations. About the Role: Operate and program CNC lathes, mills, and wire EDM machines, ensuring precision in machining aerospace metal alloys Utilize CAD software to create and modify designs, implementing CNC programs (G-code) for producing materials test coupons Maintain, troubleshoot, and calibrate machining equipment, ensuring compliance with aerospace industry standards Communicate effectively with engineering teams and cross-functional stakeholders to translate project requirements into machining solutions Work collaboratively with teams of varying technical expertise to optimize machining processes and troubleshoot manufacturing challenges Develop and enforce standardized workflows for machine shop operations, including shift hand-offs and documentation of machining procedures About You: 2+ years of hands-on machining experience operating or programming CNC lathes, mills and/or EDM machines Experience in machine maintenance, troubleshooting, and calibration to ensure optimal performance Experience in using common inspection tools (calipers, micrometers, dial indicators, etc.) Ability to interpret and verify engineering drawings, blueprints, and technical specifications using precision measuring instruments Ability to adapt in fast paced environments Nice to haves but not required: Proficiency in CAD/CAM software and G-code programming Solid understanding of machining best practices for aerospace materials Strong oral and verbal communication skills Strong understanding of tolerancing and measurement techniques in accordance with GD&T (Geometric Dimensioning and Tolerancing) standards At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $25.80—$35.48 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible. AWS Neuron is an SDK that optimizes the performance of complex neural net models executed on AWS Inferentia, our first fully custom chip designed to accelerate deep-learning workloads. The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference. The Neuron team is hiring experienced Runtime Software Development Engineers with a background in machine learning and AI accelerators in order to solve our customers toughest problems. As a Runtime Software Development Engineer you will have experience with high-performance Linux drivers, HPC technologies including: libfabric, MPI, and delivering products to customers with a high degree of operational excellence. This is a fast-paced, intellectually challenging position, where you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually", "summaryDescription" : "Neuron Runtime SDE at Annapurna Labs. Skills: Machine learning, AI accelerators, Runtime software development. Optimize neural net models. Develop compiler", "postedDate" : "2026-06-13T12:21:06.327", "createdAt" : "2026-06-13T12:21:06.327", "lastUpdated" : "2026-06-15T05:46:34.180", "ingestTimestamp" : "2026-06-13T12:21:06.327", "mongoId" : "69cf3f012beec4dd3d933eec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382895/apply", "salaryAnnualMin" : 165000, "salaryAnnualMax" : 223600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Compiler development", "Runtime development", "Debugger development", "Performance optimization", "Mentoring", "Machine learning", "AI accelerators", "Runtime software development", "Operational excellence", "System design", "Reliability", "Scaling", "Deep learning workloads", "Neural net models", "AWS Neuron SDK" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 738.5799, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305382f292fd229cf132e2", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T08:25:55.648", "fingerprint" : "94cfd22866443072a4e0843745762b72eaba13af372e6628eab682a63e20a0f5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:56:07.891", "lastUpdated" : "2026-06-16T08:25:55.648", "ingestTimestamp" : "2026-06-15T21:56:07.891", "mongoId" : "6a305382f292fd229cf132e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 707.9483, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305342f292fd229cf11fcd", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory setting." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T05:36:01.876", "fingerprint" : "319fd08e3b3d270460d65aadfbd82652afa848d173e2c06b22fa5a7e50a71c20", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:53:39.721", "lastUpdated" : "2026-06-16T05:36:01.876", "ingestTimestamp" : "2026-06-15T21:53:39.721", "mongoId" : "6a305342f292fd229cf11fcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 707.9483, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a485474d8ee00a05dee51", "title" : "Laser Characterization Intern", "company" : "Lightmatter", "industry" : "Technology", "salary" : { "min" : 57.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, CA", "locations" : [ "Mountain View", "CA" ], "timestamp" : "2026-06-14T09:40:50.594", "fingerprint" : "a59e255c39650b5f167928aa4d571bd15f626c424fb8a059d09a94823b3ccf6c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/lightmatter/jobs/5252538008?gh_jid=5252538008", "externalId" : "5252538008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, Photonics, Optics, Semiconductor physics", "professionalSkills" : [ "Laser characterization", "Performance metrics", "Data analysis", "Measurement reporting" ], "hardSkillsList" : [ "Semiconductor laser physics", "Laser characterization", "Optical measurements", "Data analysis", "Instrument control", "Data collection", "Measurement reporting" ], "hardSkills" : [ { "name" : "Semiconductor laser physics", "level" : "intermediate" }, { "name" : "Laser characterization", "level" : "intermediate" }, { "name" : "Optical measurements", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Instrument control", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Measurement reporting", "level" : "intermediate" } ], "majorSkills" : "Laser characterization, Semiconductor lasers, Optical measurements, Python scripting", "majorSkillsList" : [ "Laser characterization", "Semiconductor lasers", "Optical measurements", "Python scripting" ], "coreResponsibilities" : "Execute State-of-the-Art laser testing, Perform characterization of semiconductor lasers, Perform characterization of laser sources, Perform characterization of semiconductor optical amplifiers, Measure laser performance metrics, Measure SOA performance metrics, Analyze laser performance metrics, Analyze SOA performance metrics, Conduct LIV measurements, Evaluate laser behavior, Perform wavelength stability measurements, Perform optical power stability measurements, Characterize optical spectra, Support RIN measurements, Support SMSR measurements, Support optical power measurements, Support wavelength tuning measurements, Support stability measurements, Operate optical lab equipment, Develop Python automation scripts, Control instruments, Collect data, Process data, Report measurements, Analyze measurement data, Identify trends, Identify anomalies, Summarize results, Support laser bring-up, Support SOA bring-up, Support laser debug, Support SOA debug, Support laser validation, Support SOA validation", "teamCollaboration" : "Work closely with photonics teams; Work closely with laser teams; Work closely with packaging teams; Work closely with characterization teams", "domainKnowledge" : "Semiconductor lasers; Laser physics; Semiconductor physics; Semiconductor optical amplifiers; LIV curves; Gain; Saturation power; Noise; Wavelength-dependent behavior; III-V semiconductor materials; Laser diode operation; Carrier dynamics; Optical gain; Thermal effects", "domainList" : [ "semiconductor-lasers", "laser-physics", "semiconductor-physics", "semiconductor-optical-amplifiers", "liv-curves", "gain", "saturation-power", "noise", "wavelength-dependent-behavior", "iii-v-semiconductor-materials", "laser-diode-operation", "carrier-dynamics", "optical-gain", "thermal-effects" ], "domainSpecificKnowledge" : [ "Semiconductor lasers", "Laser physics", "Semiconductor physics", "Semiconductor optical amplifiers", "LIV curves", "Gain", "Saturation power", "Noise", "Wavelength-dependent behavior", "III-V semiconductor materials", "Laser diode operation", "Carrier dynamics", "Optical gain", "Thermal effects" ], "toolProficiency" : [ "Optical spectrum analyzers", "Optical power meters", "Current drivers", "Temperature controllers", "Photodetectors", "Polarization controllers", "Optical filters", "Optical switches", "Fiber-coupled optical components" ], "communicationSkills" : "Communicate results clearly", "documentationSkills" : "Measurement reporting; Characterization reports", "problemSolvingSkills" : "Debugging open-ended lab issues; Debugging open-ended measurement issues", "specialRequirements" : "Capacity to comply with U.S. export control laws", "qualificationsBasic" : "PhD or advanced degree program enrollment, Understanding of semiconductor lasers, Understanding of laser physics, Understanding of basic semiconductor physics, Familiarity with laser characterization concepts, Hands-on experience with optical lab measurements, Hands-on experience with optical test equipment, Good understanding of semiconductor optical amplifiers, Experience using optical instruments, Analytical skills, Problem-solving skills, Ability to work independently, Ability to communicate results clearly", "qualificationsPreferred" : "Prior experience characterizing DFB lasers, Prior experience characterizing tunable lasers, Prior experience characterizing laser diodes, Prior experience characterizing semiconductor optical amplifiers, Experience with RIN measurements, Experience with SMSR measurements, Experience with linewidth measurements, Experience with wavelength stability measurements, Experience with long-term optical power stability measurements, Familiarity with fiber-optic alignment, Familiarity with polarization control, Familiarity with optical coupling, Familiarity with optical loss budgeting, Understanding of III-V semiconductor materials, Understanding of laser diode operation, Understanding of carrier dynamics, Understanding of optical gain, Understanding of thermal effects, Experience building automated optical characterization setups, Experience preparing clear characterization reports", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! As a Laser Characterization Intern, you will focus on the fundamental performance, physics, and characterization of the semiconductor laser sources that power our photonic computing architecture. You will be responsible for executing State-of-the-Art (SOA) laser testing to ensure the highest levels of spectral purity and stability. Responsibilities Perform hands-on characterization of semiconductor lasers, laser sources, and semiconductor optical amplifiers. Measure and analyze laser and SOA performance metrics, including output power, wavelength, optical spectrum, side-mode suppression ratio, relative intensity noise, gain, saturation behavior, and wavelength/power stability. Conduct LIV measurements and evaluate laser behavior across current, voltage, temperature, and operating conditions. Perform wavelength and optical power stability measurements over time and across temperature. Characterize optical spectra using optical spectrum analyzers and related optical test equipment. Support RIN, SMSR, optical power, wavelength tuning, and stability measurements. Operate optical lab equipment such as current drivers, temperature controllers, optical spectrum analyzers, optical power meters, photodetectors, polarization controllers, optical filters, optical switches, and fiber-coupled optical components. Develop Python-based automation scripts for instrument control, data collection, data processing, and measurement reporting. Analyze measurement data, identify trends or anomalies, and summarize results clearly for the engineering team. Work closely with photonics, laser, packaging, and characterization teams to support laser and SOA bring-up, debug, and validation activities. Qualifications Currently enrolled in a PhD or advanced degree program in Electrical Engineering, Physics, Applied Physics, Photonics, Optics, or a related field. Strong understanding of semiconductor lasers, laser physics, and basic semiconductor physics. Familiarity with laser characterization concepts such as LIV curves, threshold current, slope efficiency, wall-plug efficiency, wavelength tuning, linewidth, RIN, SMSR, optical spectrum, and power stability. Hands-on experience with optical lab measurements and optical test equipment. Good understanding of semiconductor optical amplifiers, including optical gain, saturation power, noise, and wavelength-dependent behavior. Experience using optical instruments such as optical spectrum analyzers, optical power meters, current sources, temperature controllers, photodetectors, and optical filters. Exposure to Python scripting for instrument automation, data analysis, and visualization. Strong analytical and problem-solving skills for debugging open-ended lab and measurement issues. Ability to work independently in a lab environment and communicate results clearly Preferred Qualifications Prior experience characterizing DFB lasers, tunable lasers, laser diodes, or semiconductor optical amplifiers. Experience with RIN, SMSR, linewidth, wavelength stability, or long-term optical power stability measurements. Familiarity with fiber-optic alignment, polarization control, optical coupling, and optical loss budgeting. Understanding of III-V semiconductor materials, laser diode operation, carrier dynamics, optical gain, and thermal effects in semiconductor lasers. Experience building automated optical characterization setups using Python. Experience preparing clear characterization reports, including plots, test conditions, measurement methodology, and conclusions. We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Hourly Range $57—$65 USD Benefits Comprehensive Health Care Plan (Medical, Dental & Vision) Retirement Savings Matching Program Life Insurance (Basic, Voluntary & AD&D) Generous Time Off (Vacation, Sick & Public Holidays) Paid Family Leave Short Term & Long Term Disability Training & Development Commuter Benefits Flexible, hybrid workplace model Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U. S. export control laws.", "summaryDescription" : "Laser Characterization Intern at Lightmatter. Skills: Laser characterization, Semiconductor lasers, Optical measurements, Python scripting. Execute State-of-the-Art laser testing. Perform characterization of semiconductor lasers", "postedDate" : "2026-06-11T20:18:06.798", "createdAt" : "2026-06-11T20:18:06.798", "lastUpdated" : "2026-06-14T09:40:50.594", "ingestTimestamp" : "2026-06-11T20:18:06.798", "mongoId" : "6a2a485474d8ee00a05dee51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 118560, "salaryAnnualMax" : 135200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Semiconductor laser physics", "Laser characterization", "Optical measurements", "Data analysis", "Instrument control", "Data collection", "Measurement reporting", "Semiconductor lasers", "Python scripting", "Performance metrics", "Laser physics", "Semiconductor physics", "Semiconductor optical amplifiers", "LIV curves", "Gain", "Saturation power", "Noise", "Wavelength-dependent behavior", "III-V semiconductor materials", "Laser diode operation", "Carrier dynamics", "Optical gain", "Thermal effects", "Optical spectrum analyzers", "Optical power meters", "Current drivers", "Temperature controllers", "Photodetectors", "Polarization controllers", "Optical filters", "Optical switches", "Fiber-coupled optical components" ], "skillCount" : 32, "jobCategory" : "other", "jobSubcategory" : "internships", "dataQualityScore" : 0.8888889, "_score" : 675.0212, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e412f8b1b0376634c206", "title" : "Software engineer -AI/ML, AWS Neuron Inference, AWS Neuron Inference", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:30:24.814", "fingerprint" : "2830dff567917c991d69647a110c22e4f4967bc288f85e9e6937863a106227d2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078216/apply", "externalId" : "972aebc2-5c0c-4ae0-858d-e9137fa56b93", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, PyTorch, JAX, CUDA, JIT compilation, AOT tracing", "professionalSkills" : [ "System design", "System architecture", "Performance optimization", "Kernel development" ], "hardSkillsList" : [ "Machine Learning", "LLM fundamentals", "Transformer architecture", "Training lifecycles", "Inference lifecycles", "Optimization techniques", "System performance", "Memory management", "Parallel computing", "Debugging", "Profiling", "Software engineering", "CUDA kernels", "ML kernels", "Low-level kernels", "Kernel development", "Inference serving" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "LLM fundamentals", "level" : "intermediate" }, { "name" : "Transformer architecture", "level" : "intermediate" }, { "name" : "Training lifecycles", "level" : "intermediate" }, { "name" : "Inference lifecycles", "level" : "intermediate" }, { "name" : "Optimization techniques", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Profiling", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "CUDA kernels", "level" : "intermediate" }, { "name" : "ML kernels", "level" : "intermediate" }, { "name" : "Low-level kernels", "level" : "intermediate" }, { "name" : "Kernel development", "level" : "intermediate" }, { "name" : "Inference serving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI/ML, LLM Inference, AWS Neuron, Performance optimization", "majorSkillsList" : [ "AI/ML", "LLM Inference", "AWS Neuron", "Performance optimization" ], "coreResponsibilities" : "Develop core building blocks of LLM Inference, Optimize core building blocks of LLM Inference, Adapt latest research to Neuron chips, Extract best performance from models, Work across teams and organizations", "teamCollaboration" : "Work with chip architects; Work with compiler engineers; Work with runtime engineers; Cross-functional teams", "domainKnowledge" : "Machine Learning; LLM fundamentals; Transformer architecture; Training lifecycles; Inference lifecycles; Optimization techniques; System performance; Memory management; Parallel computing; Computer architecture; Operating systems; Inference serving platforms", "domainList" : [ "machine-learning", "llm-fundamentals", "transformer-architecture", "training-lifecycles", "inference-lifecycles", "optimization-techniques", "system-performance", "memory-management", "parallel-computing", "computer-architecture", "operating-systems", "inference-serving-platforms" ], "domainSpecificKnowledge" : [ "Machine Learning", "LLM fundamentals", "Transformer architecture", "Training lifecycles", "Inference lifecycles", "Optimization techniques", "System performance", "Memory management", "Parallel computing", "Computer architecture", "Operating systems", "Inference serving platforms" ], "toolProficiency" : [ "AWS Neuron", "vLLM", "SGLang", "TensorRT", "CUTLASS", "FlashInfer" ], "continuousLearning" : "Mentorship programme", "problemSolvingSkills" : "Debugging; Profiling; Root cause analysis", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Programming proficiency in Python or C++, Experience with PyTorch, Working knowledge of Machine Learning fundamentals, Working knowledge of LLM fundamentals, Understanding of system performance, Understanding of memory management, Understanding of parallel computing principles", "qualificationsPreferred" : "Experience with JAX, Experience with debugging, Experience with profiling, Experience implementing software engineering best practices, Expertise with PyTorch, Expertise with JIT compilation, Expertise with AOT tracing, Experience with CUDA kernels, Experience with ML/low-level kernels, Experience with performant kernel development, Experience with inference serving platforms, Deep understanding of computer architecture, Deep understanding of operating systems, Deep understanding of parallel computing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models such as Llama 3.3 70B, 3.1 405B, DBRX, Mixtral, and so on. Key job responsibilities Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Programming proficiency in Python or C++ (at least one required) - Experience with PyTorch - Working knowledge of Machine Learning and LLM fundamentals including transformer architecture, training/inference lifecycles, and optimization techniques - Strong understanding of system performance, memory management, and parallel computing principles Preferred Qualifications: - Experience with JAX - Experience with debugging, profiling, and implementing software engineering best practices in large-scale systems - Expertise with PyTorch, JIT compilation, and AOT tracing - Experience with CUDA kernels or equivalent ML/low-level kernels - Experience with performant kernel development (e.g., CUTLASS, FlashInfer) - Experience with inference serving platforms (vLLM, SGLang, TensorRT) in production environments - Deep understanding of computer architecture, operating systems, and parallel computing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software engineer -AI/ML, AWS Neuron Inference, AWS Neuron Inference at Annapurna Labs (U. S. ) Inc.. Skills: AI/ML, LLM Inference, AWS Neuron, Performance optimization. Develop core building blocks of LLM Inference. Optimize core building blocks of LLM Inference", "postedDate" : "2026-06-13T14:57:00.769", "createdAt" : "2026-06-13T14:57:00.769", "lastUpdated" : "2026-06-15T06:30:24.814", "ingestTimestamp" : "2026-06-13T14:57:00.769", "mongoId" : "68c2e412f8b1b0376634c206", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078216/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine Learning", "LLM fundamentals", "Transformer architecture", "Training lifecycles", "Inference lifecycles", "Optimization techniques", "System performance", "Memory management", "Parallel computing", "Debugging", "Profiling", "Software engineering", "CUDA kernels", "ML kernels", "Low-level kernels", "Kernel development", "Inference serving", "Mentoring", "AI/ML", "LLM Inference", "AWS Neuron", "Performance optimization", "System design", "System architecture", "Computer architecture", "Operating systems", "Inference serving platforms", "vLLM", "SGLang", "TensorRT", "CUTLASS", "FlashInfer" ], "skillCount" : 32, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 673.3058, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cb0a974d8ee00a09daa8e", "title" : "Principal Product Manager, Networks", "company" : "Skylo", "industry" : "Product Management", "salary" : { "min" : 200000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote, US", "locations" : [ "Remote, US" ], "timestamp" : "2026-06-15T22:08:26.004", "fingerprint" : "dbf14410d60ee6b120b41db2bfdc9494f33875628415ad614dd945e45829f1e3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skylo/bece0541-1ba8-43d0-88fc-fc3bb450e60e/application", "externalId" : "bece0541-1ba8-43d0-88fc-fc3bb450e60e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Define product strategy, Develop product roadmaps, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The world still has coverage blind spots. You could help eliminate them at Skylo. Skylo has pioneered a standards-based approach to satellite connectivity. We connect smartphones and IoT devices directly to satellites. No special hardware, no entirely new networks. Just billions of existing devices, suddenly reachable anywhere on Earth. We're not building toward this future. We're already in it. Our direct-to-device service is live on millions of activated devices across five continents, covering more than 72 million square kilometers, in partnership with leading satellite operators, mobile network operators, Tier-1 chipset makers, and OEMs worldwide. And we're just getting started. At the heart of it all is Skylo's commercial NTN vRAN: a 3GPP standards-based, cloud-native platform that seamlessly bridges terrestrial and satellite networks. It's the infrastructure that makes true anywhere, anytime connectivity possible. When you join Skylo, you'll work at the intersection of three markets reshaping how the world stays connected: mass-market consumer devices, automotive, and industrial IoT. Enabling people outdoors and critical workflows in the world's most remote places. This is a rare chance to work on technology that matters, at a company that's already proving it works This role can be performed remotely with a preference for candidates located in Mountain View, CA where we are 3 days per week onsite. Summary Of How You Will Impact Skylo Skylo is hiring a Principal Product Manager to own the services portfolio, what Skylo sells to customers today (data, voice, messaging) and the new services we bring to market next. You will set pricing, drive new services from concept to first commercial deployment, and scale new services as they are proven out. You will engage MNOs, OEMs & customers to read where the market is headed, navigate across engineering, commercial, standards, and finance teams, and pursue opportunities independently against today's roadmap and toward bets we haven't named yet. We move at startup pace. The role will evolve based on what the right person brings to it. How You Will Contribute - Own Skylo's MNO services portfolio — data, voice, messaging, and the new services we add next. You will be the product home for what Skylo sells to MNO partners today and tomorrow. - Engage MNOs and OEMs continuously to read where the market is headed. You will translate emerging needs into product direction, identify what we should build next, and pursue it without being asked. - Drive new services from concept to first commercial deployment within the connectivity portfolio. You will spec, prioritize, and own the rollout end-to-end. - Take ownership of new service categories as they prove out. Once a net-new category lands its first paying customer, you become the new home owning productization, pricing, partner roadmap, and scaling across MNO partners. - Own pricing and unit economics for the services portfolio. You will set list prices, package services, and define the floor keeping us margin-aware while staying commercially competitive. What We Look For - 12+ years in product management, telco strategy, MNO/MVNO engagements, or wireless systems engineering. Master's counts toward years. - Experience taking connectivity services from concept to commercial deployment — with shipped outcomes and revenue you can walk through end-to-end. - Demonstrated ability to engage MNOs commercially. You can name partners you've worked with directly and services you've launched with them. - Working knowledge of the MNO/MVNO end-to-end stack, roaming interfaces, 3GPP, NTN, D2D, and connectivity service pricing models. - AI-native operator. You use modern AI tooling in your daily workflow and can describe exactly how. What We Offer With employees working across three continents, Skylo is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. Our worldwide and inclusive culture encourages a flexible approach to work, and we also offer an attractive range benefits such as: - Competitive compensation packages including a stock option based equity program - Comprehensive benefits including medical, dental, vision, retirement plan - Monthly allowances for wellness and education reimbursement - A generous time off policy, holidays, and the opportunity to temporarily work abroad - Once in a lifetime opportunity to be a part of developing and running world’s first commercial, live direct-to-device satellite network and service - Access to world-class team and talent across tech domains: software, hardware, chipsets, telecom, satellite and network virtualization - Open, transparent, inclusive culture that blends the Silicon Valley, Nordic and South Asia characteristics Additional information The compensation range for this position is dependent on location. These ranges reflects the low and high end of the range Skylo reasonably and generally expects to pay the hired candidate in this role. - Non–Bay Area (U.S.): $200,000 - $215,000 - Bay Area, CA: $230,000 - $240,000 EEO Statement Skylo is an equal-opportunity employer and we celebrate diversity. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, parent or caregiver status, political affiliation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please let us know if you need assistance or accommodation due to a disability. ", "summaryDescription" : "Principal Product Manager, Networks at Skylo. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Define product strategy. Develop product roadmaps", "createdAt" : "2026-06-14T20:15:54.718", "lastUpdated" : "2026-06-15T22:08:26.004", "ingestTimestamp" : "2026-06-14T20:15:54.718", "mongoId" : "6a2cb0a974d8ee00a09daa8e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 240000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Roadmap planning" ], "skillCount" : 5, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 670.4193, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a8fc874d8ee00a068a0a5", "title" : "Manager, Materials Characterization", "company" : "Form Energy", "industry" : "Engineering", "salary" : { "min" : 0.0, "max" : 191530.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Somerville, MA", "locations" : [ "Somerville, MA" ], "timestamp" : "2026-06-14T21:51:28.441", "fingerprint" : "762ad5cea9533d9471a3e477cf0ab6403f8c64994a58a96fc509fc6ba6d6e7de", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/FORMENERGY/2b0d5fc2-ee5c-4129-9c80-75c04438b2dc/application", "externalId" : "2b0d5fc2-ee5c-4129-9c80-75c04438b2dc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerville", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3875968,-71.0994968" } ], "locationText" : "Somerville, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SEM, FTIR, ICP, XRD", "professionalSkills" : [ "Analytical testing", "Method development", "Failure analysis", "Laboratory management", "Budget management", "ROI analysis" ], "hardSkillsList" : [ "Materials characterization", "Chemical analysis", "Materials science", "Failure analysis", "Metrology concepts", "Gauge R&R studies" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Materials characterization", "level" : "intermediate" }, { "name" : "Chemical analysis", "level" : "intermediate" }, { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Metrology concepts", "level" : "intermediate" }, { "name" : "Gauge R&R studies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Materials characterization, Laboratory leadership, Method development", "majorSkillsList" : [ "Materials characterization", "Laboratory leadership", "Method development" ], "coreResponsibilities" : "Provide strategic direction, Provide empathetic people leadership, Establish clear performance expectations, Shield team from reactive triage, Cultivate rigorous culture, Cultivate high-throughput culture, Oversee day-to-day lab workflows, Manage sample lifecycle, Schedule instruments, Achieve predictable turnaround times, Optimize throughput, Maintain exceptional data quality, Champion creation of novel characterization methods, Evaluate methodologies for precision-to-tolerance, Scale methodologies, Transfer methodologies to manufacturing, Evaluate product development timelines, Re-prioritize characterization requests, Engage proactively with design teams, Engage proactively with process teams, Fill analytical gaps, Extract actionable insights, Manage internal laboratory budget, Balance routine operational expenditures, Forecast resource needs, Maintain vendor relationships, Execute ROI analyses", "teamCollaboration" : "Partner with Core Technology; Partner with Quality; Partner with Design; Partner with Manufacturing", "domainKnowledge" : "Iron-air battery technology; Energy storage; Grid reliability; Liquid chemicals; Solid materials; High-volume manufacturing", "domainList" : [ "iron-air-battery-technology", "energy-storage", "grid-reliability", "liquid-chemicals", "solid-materials", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Iron-air battery technology", "Energy storage", "Grid reliability", "Liquid chemicals", "Solid materials", "High-volume manufacturing" ], "toolProficiency" : [ "LIMS" ], "problemSolvingSkills" : "Failure analysis", "specialRequirements" : "Relocation assistance available", "outcomesObjectives" : "Accelerate validation of battery technology; Ensure global grid reliability; Ensure grid stability", "qualificationsBasic" : "8+ years advanced material characterization instrumentation, 3+ years leading analytical chemistry teams, 3+ years leading materials science teams, 3+ years leading failure analysis teams, Proven LIMS deployment or management, Demonstrated industrial metrology knowledge, Demonstrated gauge R&R studies knowledge, Demonstrated tool precision verification knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION As the Manager, Materials Characterization, you will play a critical role in leading our internal analytical testing and method development function. Reporting directly into the Reliability Engineering organization, our team drives analytical excellence, failure analysis, and factory method transfers. You will lead a world-class laboratory team in deep partnership with Core Technology, Quality, Design, and Manufacturing teams to accelerate the validation of our breakthrough iron-air battery technology, ensuring global grid reliability and stability. Relocation assistance is available. WHAT YOU'LL DO: - Provide strategic direction and empathetic people leadership to a diverse team from entry-level technicians to senior scientists, establishing clear performance expectations, shielding them from reactive triage, and cultivating a rigorous, high-throughput culture. - Oversee day-to-day lab workflows, sample lifecycle management, and instrument scheduling to achieve predictable turnaround times, optimize throughput, and maintain exceptional data quality. - Champion the creation of novel characterization methods for liquid and solid chemicals and materials, ensuring all methodologies are evaluated for precision-to-tolerance ratios before scaling or transferring to high-volume manufacturing lines. - Continuously evaluate evolving product development timelines to re-prioritize characterization requests, engaging proactively with design and process teams to fill analytical gaps and extract actionable insights for product performance and durability. - Manage the internal laboratory budget, balance routine operational expenditures, forecast resource needs, maintain strong relationships with external vendors, and execute clear ROI analyses on bringing new characterization instruments internal to Form. WHAT YOU'LL BRING: - 8+ years of experience in using and managing advanced material characterization instrumentation (i.e. SEM, FTIR, ICP, XRD) - 3+ years experience in directly leading diversely skilled analytical chemistry, materials science or failure analysis laboratory teams - Proven track record of deploying or managing a Laboratory Information Management System (LIMS) or equivalent sample/workflow tracking system to optimize laboratory KPIs. - Demonstrated knowledge of industrial metrology concepts, gauge R&R studies, and verifying tool precision against engineering specs for high-volume manufacturing transfers. - Excellent communication and organizational skills #LI-Onsite Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Manager, Materials Characterization at Form Energy. Skills: Materials characterization, Laboratory leadership, Method development. Provide strategic direction. Provide empathetic people leadership", "postedDate" : "2026-06-11T19:48:08.204", "createdAt" : "2026-06-11T19:48:08.204", "lastUpdated" : "2026-06-14T21:51:28.441", "ingestTimestamp" : "2026-06-11T19:48:08.204", "mongoId" : "6a2a8fc874d8ee00a068a0a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 191530, "hasSalary" : false, "allSkills" : [ "Materials characterization", "Chemical analysis", "Materials science", "Failure analysis", "Metrology concepts", "Gauge R&R studies", "Leadership", "Mentoring", "Laboratory leadership", "Method development", "Analytical testing", "Laboratory management", "Budget management", "ROI analysis", "Iron-air battery technology", "Energy storage", "Grid reliability", "Liquid chemicals", "Solid materials", "High-volume manufacturing", "LIMS" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "reliability-&-test", "dataQualityScore" : 1.0, "_score" : 670.06635, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy Technology" }, { "id" : "6a2a8f9374d8ee00a06896eb", "title" : "Manager, Materials Characterization", "company" : "Form Energy", "industry" : "Engineering", "salary" : { "min" : 0.0, "max" : 191530.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Somerville, MA", "locations" : [ "Somerville, MA" ], "timestamp" : "2026-06-14T06:16:35.552", "fingerprint" : "a879e90dad85f1f85ad5643f14401f77ad643709a98f1530cf64f7a5c432cd9e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/formenergy/2b0d5fc2-ee5c-4129-9c80-75c04438b2dc/application", "externalId" : "2b0d5fc2-ee5c-4129-9c80-75c04438b2dc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerville", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3875968,-71.0994968" } ], "locationText" : "Somerville, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SEM, FTIR, ICP, XRD", "professionalSkills" : [ "Analytical testing", "Method development", "Failure analysis", "Laboratory management", "Budget management", "ROI analysis" ], "hardSkillsList" : [ "Materials characterization", "Chemical characterization", "Sample lifecycle management", "Instrument scheduling", "Precision-to-tolerance ratios", "Operational expenditures", "Resource forecasting", "Vendor relationships" ], "softSkillsList" : [ "Leadership", "People leadership" ], "hardSkills" : [ { "name" : "Materials characterization", "level" : "intermediate" }, { "name" : "Chemical characterization", "level" : "intermediate" }, { "name" : "Sample lifecycle management", "level" : "intermediate" }, { "name" : "Instrument scheduling", "level" : "intermediate" }, { "name" : "Precision-to-tolerance ratios", "level" : "intermediate" }, { "name" : "Operational expenditures", "level" : "intermediate" }, { "name" : "Resource forecasting", "level" : "intermediate" }, { "name" : "Vendor relationships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "People leadership" } ], "majorSkills" : "Materials characterization, Laboratory leadership, Method development", "majorSkillsList" : [ "Materials characterization", "Laboratory leadership", "Method development" ], "coreResponsibilities" : "Provide strategic direction, Provide empathetic people leadership, Establish clear performance expectations, Shield team from reactive triage, Cultivate rigorous culture, Cultivate high-throughput culture, Oversee day-to-day lab workflows, Manage sample lifecycle, Manage instrument scheduling, Achieve predictable turnaround times, Optimize throughput, Maintain exceptional data quality, Champion creation of characterization methods, Evaluate methodologies for precision, Scale methodologies, Transfer methodologies to manufacturing, Evaluate product development timelines, Re-prioritize characterization requests, Engage proactively with design teams, Engage proactively with process teams, Fill analytical gaps, Extract actionable insights, Manage internal laboratory budget, Balance routine operational expenditures, Forecast resource needs, Maintain relationships with external vendors, Execute ROI analyses", "teamCollaboration" : "Partner with Core Technology; Partner with Quality; Partner with Design; Partner with Manufacturing", "domainKnowledge" : "Iron-air battery technology; Grid reliability; Grid stability; Liquid chemicals; Solid chemicals; High-volume manufacturing", "domainList" : [ "iron-air-battery-technology", "grid-reliability", "grid-stability", "liquid-chemicals", "solid-chemicals", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Iron-air battery technology", "Grid reliability", "Grid stability", "Liquid chemicals", "Solid chemicals", "High-volume manufacturing" ], "toolProficiency" : [ "LIMS" ], "problemSolvingSkills" : "Failure analysis", "specialRequirements" : "Relocation assistance", "outcomesObjectives" : "Accelerate validation of battery technology; Ensure global grid reliability; Ensure global grid stability", "qualificationsBasic" : "8+ years advanced material characterization instrumentation, 3+ years leading analytical chemistry teams, 3+ years leading materials science teams, 3+ years leading failure analysis teams, Proven LIMS deployment or management, Demonstrated industrial metrology knowledge, Demonstrated gauge R&R studies knowledge, Demonstrated tool precision verification knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION As the Manager, Materials Characterization, you will play a critical role in leading our internal analytical testing and method development function. Reporting directly into the Reliability Engineering organization, our team drives analytical excellence, failure analysis, and factory method transfers. You will lead a world-class laboratory team in deep partnership with Core Technology, Quality, Design, and Manufacturing teams to accelerate the validation of our breakthrough iron-air battery technology, ensuring global grid reliability and stability. Relocation assistance is available. WHAT YOU'LL DO: - Provide strategic direction and empathetic people leadership to a diverse team from entry-level technicians to senior scientists, establishing clear performance expectations, shielding them from reactive triage, and cultivating a rigorous, high-throughput culture. - Oversee day-to-day lab workflows, sample lifecycle management, and instrument scheduling to achieve predictable turnaround times, optimize throughput, and maintain exceptional data quality. - Champion the creation of novel characterization methods for liquid and solid chemicals and materials, ensuring all methodologies are evaluated for precision-to-tolerance ratios before scaling or transferring to high-volume manufacturing lines. - Continuously evaluate evolving product development timelines to re-prioritize characterization requests, engaging proactively with design and process teams to fill analytical gaps and extract actionable insights for product performance and durability. - Manage the internal laboratory budget, balance routine operational expenditures, forecast resource needs, maintain strong relationships with external vendors, and execute clear ROI analyses on bringing new characterization instruments internal to Form. WHAT YOU'LL BRING: - 8+ years of experience in using and managing advanced material characterization instrumentation (i.e. SEM, FTIR, ICP, XRD) - 3+ years experience in directly leading diversely skilled analytical chemistry, materials science or failure analysis laboratory teams - Proven track record of deploying or managing a Laboratory Information Management System (LIMS) or equivalent sample/workflow tracking system to optimize laboratory KPIs. - Demonstrated knowledge of industrial metrology concepts, gauge R&R studies, and verifying tool precision against engineering specs for high-volume manufacturing transfers. - Excellent communication and organizational skills #LI-Onsite Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Manager, Materials Characterization at Form Energy. Skills: Materials characterization, Laboratory leadership, Method development. Provide strategic direction. Provide empathetic people leadership", "postedDate" : "2026-06-11T16:53:03.637", "createdAt" : "2026-06-11T16:53:03.637", "lastUpdated" : "2026-06-14T06:16:35.552", "ingestTimestamp" : "2026-06-11T16:53:03.637", "mongoId" : "6a2a8f9374d8ee00a06896eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 191530, "hasSalary" : false, "allSkills" : [ "Materials characterization", "Chemical characterization", "Sample lifecycle management", "Instrument scheduling", "Precision-to-tolerance ratios", "Operational expenditures", "Resource forecasting", "Vendor relationships", "Leadership", "People leadership", "Laboratory leadership", "Method development", "Analytical testing", "Failure analysis", "Laboratory management", "Budget management", "ROI analysis", "Iron-air battery technology", "Grid reliability", "Grid stability", "Liquid chemicals", "Solid chemicals", "High-volume manufacturing", "LIMS" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "reliability-&-test", "dataQualityScore" : 1.0, "_score" : 660.5841, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy Technology" }, { "id" : "6a2cc16e74d8ee00a0a0425b", "title" : "Networks & Partnerships Manager", "company" : "We Are Futures", "industry" : "Media", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Networks & Partnerships Manager in London, United Kingdom, adjusted for the Marketing industry." }, "location" : "London, GB", "locations" : [ "London", "GB" ], "timestamp" : "2026-06-16T02:07:59.698", "fingerprint" : "6b6fdca8aae3bbe8b8305444a836c7ae9fe91dbc079c2884e92530ae59661a41", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://we-are-futures.breezy.hr/p/d101d672675b01-networks-partnerships-manager", "externalId" : "d101d672675b01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "rawDescription" : "Who We Are We Are Futures is unique agency with a powerful mission: to transform the futures of brands and young people, by tackling the issues that matter to both. Over twenty years ago, we saw the potential for brands to connect deeply with young people, parents, families, teachers, and communi", "summaryDescription" : "Networks & Partnerships Manager at We Are Futures. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "createdAt" : "2026-06-14T20:28:32.693", "lastUpdated" : "2026-06-16T02:07:59.698", "ingestTimestamp" : "2026-06-14T20:28:32.693", "mongoId" : "6a2cc16e74d8ee00a0a0425b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 648.3409, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.85 }, { "id" : "6931903470f0b99d58087a69", "title" : "Materials Characterization Engineer, SPICE Lab", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 86900.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:14:15.411", "fingerprint" : "54ec2b58b79015b253a890c26c1589d5817170bb27531590b6793f42c9fc56f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136860/apply", "externalId" : "eafe50a2-9eea-42aa-bb72-2317f16f00f3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Optical microscopy, Electron microscopy, X-ray imaging, EDS, FTIR, XRF, DSC, DMA, TMA, Rheometer, IC, GC-MS, SEM, Computed tomography", "professionalSkills" : [ "Materials characterization", "Failure analysis", "Data interpretation", "Sample preparation", "Physical characterization", "Chemical characterization", "Corrective actions", "Method development", "Design best practices", "Manufacturing best practices", "Material selection", "Root cause analysis" ], "hardSkillsList" : [ "Materials science", "Engineering" ], "hardSkills" : [ { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Engineering", "level" : "intermediate" } ], "majorSkills" : "Materials characterization, Failure analysis, Sample preparation", "majorSkillsList" : [ "Materials characterization", "Failure analysis", "Sample preparation" ], "coreResponsibilities" : "Develop analysis outcomes, Execute analysis outcomes, Investigate structure/process/properties relationships, Optimize packaging solutions, Act as liaison, Triage lab requests, Design materials investigations, Execute materials investigations, Provide leadership updates, Collect data, Analyze data, Consult on corrective actions, Consult on method development, Consult on design best practices, Consult on manufacturing best practices, Consult on material selection, Support Sr. Engineering staff, Deliver expedient results, Deliver accurate results, Maintain lab tools, Ownership of operations best-practices, Ownership of operations initiatives, Ensure efficient work environment, Provide daily updates", "teamCollaboration" : "Cross-functional stakeholders; Global Materials Science organization; Sr. Engineering staff; Internal stakeholders", "domainKnowledge" : "Packaging solutions; Materials science; Hardware development", "domainList" : [ "packaging-solutions", "materials-science", "hardware-development" ], "domainSpecificKnowledge" : [ "Packaging solutions", "Materials science", "Hardware development" ], "toolProficiency" : [ "Issue Management application" ], "communicationSkills" : "Materials analysis report", "documentationSkills" : "Materials analysis report", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Hands-on lab work", "outcomesObjectives" : "Improve product reliability; Improve product safety; Accelerate innovation; Impact design; Optimize for cost; Optimize for performance; Optimize for sustainability", "qualificationsBasic" : "2+ years hardware design, Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, Experience with benchmarking technical equipment, Experience with lab safety, security and quality practices, Experience using materials and failure analysis techniques", "qualificationsPreferred" : "Master's degree, Independently troubleshoot scientific equipment, Maintain scientific equipment, Develop new methods for scientific equipment, Apply failure analysis methodology, Develop analysis plans, Develop root-cause hypothesis, Corrective action recommendations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SPICE lab (a Seattle-based branch of Amazon’s Lab126 subsidiary) is a research and development group partnering with Amazon’s most ambitious hardware organizations. SPICE lab Amazon’s growing portfolio of hardware programs including Kuiper, Prime Air, Mechatronics, Sustainable Packaging, AWS, Lab126 Devices and others. If you are passionate about building the future and want to take part in developing ideas from concept to production, consider joining the SPICE lab team! The Role: The Materials Characterization and Failure Analysis team leverages science and engineering to improve product reliability and safety, accelerate innovation, and make a direct impact on design through high-quality analysis and expert interpretation of data. This position will support the Global Materials Science organization by investigating structure/process/properties relationships in packaging solutions, optimizing for cost, performance, and sustainability. You will develop and execute world-class analysis outcomes in the areas of sample preparation and physical/chemical characterization. A majority of time will be spent in a lab environment, so demonstrated enthusiasm for hands-on work developing and executing lab procedures is key. You will act as the formal liaison between SPICE lab and the Global Materials Science (GMS) organization, triaging requests of the lab team, designing/executing materials investigations, and providing updates to leadership. Key job responsibilities • Data collection and analysis utilizing a variety of characterization methods including optical/electron microscopy, x-ray imaging, spectroscopy (EDS, FTIR, XRF), thermal-mechanical (DSC, DMA, TMA, rheometer), and chromatography (IC, GC-MS) • Consultation on corrective actions, method development, design/manufacturing best practices and material selection for cross-functional stakeholders • Supporting Sr. Engineering staff to deliver expedient and accurate results for high-priority and escalated investigations • Maintenance of lab tools, and ownership of operations best-practices/initiatives to ensure a clean and efficient work environment for the team A day in the life On a typical day in this role you will split time between your desk in our office area and the lab facility down the hallway. You'll have a queue of between 2 and 5 investigations at various stages, tracked using our Issue Management application and provide our internal stakeholders daily updates on progress. Your projects will most often culminate in a materials analysis report document which you'll use to build consensus around actions for the business to take in order drive new innovations in materials science and engineering. About the team SPICE lab supports three main roles: Reliability Testing, Failure Analysis, and Materials Characterization. We frequently work together because conducting thorough root cause analysis is valuable for understanding and remedying any issues uncovered as part of a program's reliability testing plan. Likewise, the reliability testing team can help to reproduce failure mechanisms, helping to validate Failure Analysis team's hypotheses. Finally, many of the same tools are valuable in measuring materials properties or other figures of merit in materials selection exercises. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent - Experience with benchmarking technical equipment and metrics - Experience with lab safety, security and quality practices - Experience using materials and failure analysis techniques. Examples include SEM, computed tomography (CT) x-ray, cross sectioning, and FTIR Preferred Qualifications: - Master's degree - Experience independently troubleshooting, maintaining, and developing new methods for scientific equipment. - Demonstrated ability to apply failure analysis methodology to independently develop analysis plans and develop a root-cause hypothesis with corrective action recommendations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $86,900/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Materials Characterization Engineer, SPICE Lab at Amazon.com Services LLC. Skills: Materials characterization, Failure analysis, Sample preparation. Develop analysis outcomes. Execute analysis outcomes", "postedDate" : "2026-06-13T06:24:20.710", "createdAt" : "2026-06-13T06:24:20.710", "lastUpdated" : "2026-06-15T06:14:15.411", "ingestTimestamp" : "2026-06-13T06:24:20.710", "mongoId" : "6931903470f0b99d58087a69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136860/apply", "salaryAnnualMin" : 86900, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Materials science", "Engineering", "Materials characterization", "Failure analysis", "Sample preparation", "Data interpretation", "Physical characterization", "Chemical characterization", "Corrective actions", "Method development", "Design best practices", "Manufacturing best practices", "Material selection", "Root cause analysis", "Packaging solutions", "Hardware development", "Issue Management application" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 645.63416, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e104402beec4dd3def24b9", "title" : "Applied Scientist, Neuron ARG", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Research Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:05:36.940", "fingerprint" : "a446dcaf8304d287b3ab601ccf75bbbd01db0a789e05f82e560111ed38186890", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387297/apply", "externalId" : "30fa309c-5a69-4cb0-bfbc-a84575734e90", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "PyTorch, TensorFlow, JAX, Java, C++, Python, Machine Learning, AI accelerators, Deep learning", "professionalSkills" : [ "Program analysis", "Program synthesis", "Compiler technology", "Deep-learning systems" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Information retrieval", "Natural language processing", "Computer architecture" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Computer architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Artificial Intelligence, Program analysis, Deep learning compiler, Machine Learning accelerators", "majorSkillsList" : [ "Artificial Intelligence", "Program analysis", "Deep learning compiler", "Machine Learning accelerators" ], "coreResponsibilities" : "Design analyzers for ML compiler stages, Develop analyzers for ML compiler stages, Deploy analyzers for ML compiler stages, Design analyzers for compiler IRs, Develop analyzers for compiler IRs, Deploy analyzers for compiler IRs, Architect business-critical tooling, Implement business-critical tooling, Publish research, Mentor scientists, Mentor engineers, Tackle crucial challenges, Contribute to design, Contribute to research", "teamCollaboration" : "Talented engineering team", "domainKnowledge" : "Deep learning compiler; Machine Learning accelerators; Generative AI", "domainList" : [ "deep-learning-compiler", "machine-learning-accelerators", "generative-ai" ], "domainSpecificKnowledge" : [ "Deep learning compiler", "Machine Learning accelerators", "Generative AI" ], "toolProficiency" : [ "Lean" ], "continuousLearning" : "Ongoing events; Learning experiences", "innovationCreativity" : "Innovating on behalf of customers", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "3+ years building models, PhD or Master's degree, 4+ years CS, CE, ML, Currently obtaining PhD, Experience in patents or publications, Experience programming Java, C++, Python, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing, Experience machine learning, Experience computer architecture", "qualificationsPreferred" : "Experience using Unix/Linux, Experience professional software development, Experience professional systems development, Publication record automated reasoning, Publication record compiler construction, Knowledge of interactive theorem provers, Experience heuristic search, Experience fuzzers, Background in machine learning, Background in AI accelerators", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Automated Reasoning Group in Amazon Neuron Compiler team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of Amazon innovation for advanced ML capabilities, and is the underpinning of Generative AI. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Currently has, or is in the process of obtaining, a PhD in a relevant field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in Java, C++, Python, or a related language - Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Experience in professional software and systems development - Publication record in automated reasoning or compiler construction - Knowledge of interactive theorem provers such as Lean - Experience with heuristic search, e.g., fuzzers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 171,600.00 - 222,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Neuron ARG at Annapurna Labs (U. S. ) Inc.. Skills: Artificial Intelligence, Program analysis, Deep learning compiler, Machine Learning accelerators. Design analyzers for ML compiler stages. 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You’ll be part of a compassionate, mission-driven team committed to resilience, empowerment, and lasting change. We foster an inclusive workplace where all backgrounds and perspectives are valued, creating a culture of belonging and professional growth. Benefits at Eliot We prioritize your well-being, work-life balance, and career growth. Benefit eligible positions include: Generous Paid Time Off – Vacation, sick time, and paid holidays Comprehensive Benefits – Medical, dental, and vision plans Retirement Savings – 401(k) with employer match Wellness & Family Support – Discounted fitness services and access to trusted childcare resources Financial Security – 100% company-paid life and accidental death insurance Professional Growth – Ongoing training, career advancement programs, tuition reimbursement, and leadership development Eliot is seeking an experienced and collaborative Director to oversee Family Networks services and strengthen partnerships that support children, youth, and families involved with the Department of Children and Families (DCF).This role is responsible for supervising staff, managing provider relationships, overseeing program performance, supporting quality improvement efforts, and partnering with DCF and community organizations to ensure high-quality services and positive outcomes for families. The ideal candidate is a strong leader with child welfare experience, excellent communication skills, and a commitment to supporting children and families through collaborative, community-based services. Responsibilities: Provide leadership and oversight of Family Networks operations Supervise, coach, and develop program staff Manage relationships with DCF, community providers, schools, and state agencies Lead quality improvement and performance management initiatives Monitor program budgets and expenditures Oversee referral and utilization review processes Facilitate trainings, meetings, and stakeholder forums Ensure contractual and regulatory compliance Qualifications: Master's Degree in Human Services, Social Work, Psychology, Counseling, or related field Clinical licensure preferred Minimum 3 years of child welfare, family services, or clinical experience Minimum 2 years of supervisory experience Experience working within DCF or child welfare systems Valid driver's license and reliable transportation Schedule: 9am-5pm, Monday-Friday Annual Salary $65,000—$75,000 USD At Eliot, we are committed to supporting you at every stage of your career, providing opportunities for growth, purpose, and community. We foster belonging in the workplace by identifying and removing barriers that may prevent individuals of all backgrounds from reaching their full potential, advancing into leadership roles, and fully engaging at all levels of the organization. Apply today and make a difference.", "summaryDescription" : "Family Networks Director at Eliot Community Human Services. Skills: Family services, Child welfare, Supervision. Oversee Family Networks services. Strengthen partnerships", "postedDate" : "2026-06-13T20:34:44.344", "createdAt" : "2026-06-13T20:34:44.344", "lastUpdated" : "2026-06-15T05:19:08.912", "ingestTimestamp" : "2026-06-13T20:34:44.344", "mongoId" : "6a2c7e2574d8ee00a0951a59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Referral review", "Utilization review", "Leadership", "Family services", "Child welfare", "Supervision", "Talent management", "Employee relations", "HR processes", "Organizational development", "Program performance", "Quality improvement", "Performance management", "Budget management", "Contractual compliance", "Regulatory compliance" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 635.97266, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a673274d8ee00a062ed82", "title" : "Manufacturing Associate - Characterization", "company" : "Twist Bioscience", "industry" : "Biotechnology", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Manufacturing Associate in Wilsonville, United States, adjusted for the Biotech industry and company size." }, "location" : "USA - Portland, OR", "locations" : [ "USA - Portland", "OR" ], "timestamp" : "2026-06-14T03:39:38.139", "fingerprint" : "b3508ba246e306c24c0f2990b0b4c778c7a6b2f7be0ee8370328597d559fd77a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/twistbioscience/jobs/7958649", "externalId" : "7958649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wilsonville", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3099218,-122.7681600" } ], "locationText" : "Wilsonville, Oregon, United States", "technicalSkills" : "Molecular biology, Cellular biology, PCR, DNA quantitation, DNA purification, DNA cloning", "professionalSkills" : [ "Good manufacturing practices", "Lean manufacturing concepts" ], "hardSkillsList" : [ "Molecular biology workflows", "Cell biology workflows", "Analytic techniques" ], "hardSkills" : [ { "name" : "Molecular biology workflows", "level" : "intermediate" }, { "name" : "Cell biology workflows", "level" : "intermediate" }, { "name" : "Analytic techniques", "level" : "intermediate" } ], "majorSkills" : "Molecular biology, Cell biology, Analytic techniques", "majorSkillsList" : [ "Molecular biology", "Cell biology", "Analytic techniques" ], "coreResponsibilities" : "Produce IgG antibody products, Run analytic techniques, Perform basic reagent handling, Perform chemistry workflows, Perform molecular biology workflows, Manufacture DNA based intermediates, Manufacture DNA based products, Manufacture custom gene based products, Complete manufacturing batch records, Manufacture custom products, Operate laboratory equipment, Operate liquid handling robots, Use molecular processes, Use cell biology processes, Use molecular techniques, Use cell biology techniques, Maintain documentation of work, Update work instructions, Write work instructions, Work independently, Work in a safe manner, Perform consistent work, Help with troubleshooting, Handle process deviations, Package products, Organize products for shipping, Work according to ISO practices, Adopt lean manufacturing concepts, Promote lean manufacturing concepts, Complete daily assigned tasks, Keep manufacturing schedule on track, Report back to Lead, Report back to Supervisor", "teamCollaboration" : "Dynamic laboratory team", "domainKnowledge" : "Good Manufacturing Practices; ISO practices", "domainList" : [ "good-manufacturing-practices", "iso-practices" ], "domainSpecificKnowledge" : [ "Good Manufacturing Practices", "ISO practices" ], "toolProficiency" : [ "Hamilton Stars", "Bioanalyzers", "Centrifuges", "Sealers", "Thermocyclers", "Spectrometers", "Illumina Next-Gen sequencers", "Excel", "Word", "Atlassian" ], "communicationSkills" : "Written skills; Verbal skills", "documentationSkills" : "Documentation of work; Work instructions; Manufacturing batch records", "continuousLearning" : "Learn lean manufacturing concepts", "problemSolvingSkills" : "Troubleshooting; Process deviations", "specialRequirements" : "Stand for long periods, Work safely with chemicals, Work safely with hazardous materials, Lift up to 20 lbs, Work outside of regular work hours, Work a flexible shift", "outcomesObjectives" : "Meet production forecast; Meet timelines; Contribute to daily production schedule; Keep manufacturing schedule on track", "qualificationsBasic" : "Work in a cleanroom environment, Work safely with chemicals, Lift up to 20 lbs, Work outside of regular work hours, Work a flexible shift", "qualificationsPreferred" : "Associates or Bachelors degree in Biology, Bachelors degree in chemistry, Familiarity in a manufacturing environment, Prior experience in a manufacturing environment, Familiarity in a laboratory environment, Prior experience in a laboratory environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for motivated, enthusiastic individuals to join our Twist Bioscience Operations team in Wilsonville, OR. The Manufacturing Associate, Characterization, will produce various IgG antibody products, focusing on molecular and cellular biology, as well as running analytic techniques in the high-throughput/highly-automated lab according to established SOPs, along with working with sensitive equipment and following good manufacturing practices. Candidates must also be a team player, neat and highly organized, able to work in a cleanroom environment and foster safe work practices. The Manufacturing Associate will perform basic reagent handling, chemistry and molecular biology workflows in a highly automated, high-throughput manner and will be responsible for the manufacture and analysis of a variety of custom DNA based intermediates and products across Twist Bioscience’s proprietary process workflow to meet the Twist production forecast and timelines. The ideal candidate will be driven and will do what it takes to keep manufacturing on track in a fast paced start-up environment. The Manufacturing Associate will be responsible for the production of custom gene based products and/or various intermediates according to established SOPs and complete manufacturing batch records to contribute to the daily production schedule. Roles and Responsibilities include but are not limited to: Manufacture high quality custom products in a high throughput MFG lab according to established SOPs. Operate laboratory equipment and liquid handling robots such as Hamilton Stars, bioanalyzers, centrifuges, sealers, thermocyclers, spectrometers, Illumina Next-Gen sequencers etc.) Effectively use molecular and cell biology processes and techniques, especially PCR, DNA quantitation, purification and cloning. Maintain thorough, accurate and detailed documentation of all work performed using existing document templates and software applications. Update and write work instructions and documentation. Work independently and in a safe manner. Pay great attention to details and perform consistent work without excessive supervision. Help Leads and Supervisors with troubleshooting and the handling of process deviations. Package and/or organize products for shipping. Work according to Good Manufacturing and ISO practices. Learn, adopt and promote lean manufacturing concepts. Complete all the daily assigned tasks to keep the manufacturing schedule on track and report back to Lead and Supervisor. What You’ll Bring to the Team Relevant experience that can indicate success in a high throughput, fast pace laboratory manufacturing environment. Associates or Bachelors degree in Biology, chemistry or related field is desirable. Familiarity or prior experience in a manufacturing and/or a laboratory environment is highly desirable. Good written and verbal skills are critical. Good computer skills (Excel, Word, Atlassian etc) and the ability to quickly learn new software applications. Ability to pay great attention to details. Working Conditions The work will be performed in a very dynamic laboratory team environment. It is a controlled laboratory environment. Must be able to stand for long periods of time while performing duties. Must be able to work safely with chemicals and hazardous materials. Must be able to lift up to 20 lbs. Must be able to work outside of regular work hours/ work a flexible shift as needed Please indicate shift preferences in your application. Possible Shifts: 1A: Sunday-Tuesday, Alt Wednesday (7:00am-7:30pm) About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA. At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers. Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law. #LI-MS1 #LI-MS1", "summaryDescription" : "Manufacturing Associate - Characterization at Twist Bioscience. Skills: Molecular biology, Cell biology, Analytic techniques. Produce IgG antibody products. Run analytic techniques", "postedDate" : "2026-06-11T20:38:35.505", "createdAt" : "2026-06-11T20:38:35.505", "lastUpdated" : "2026-06-14T03:39:38.139", "ingestTimestamp" : "2026-06-11T20:38:35.505", "mongoId" : "6a2a673274d8ee00a062ed82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Molecular biology workflows", "Cell biology workflows", "Analytic techniques", "Molecular biology", "Cell biology", "Good manufacturing practices", "Lean manufacturing concepts", "Good Manufacturing Practices", "ISO practices", "Hamilton Stars", "Bioanalyzers", "Centrifuges", "Sealers", "Thermocyclers", "Spectrometers", "Illumina Next-Gen sequencers", "Excel", "Word", "Atlassian" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "operations-&-manufacturing", "dataQualityScore" : 0.7777778, "_score" : 635.441, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "6a2d58ed74d8ee00a0b87b4b", "title" : "Scientist (f/m/d) – Biophysical Characterization", "company" : "Coriolis Pharma", "industry" : "Pharma", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Scientist in the Biotech industry in Durham, United States, adjusted for company size and location." }, "location" : "Durham, US", "locations" : [ "Durham", "US" ], "timestamp" : "2026-06-16T01:46:11.089", "fingerprint" : "ab59ca07bd16dcbe3c8b5d614cc7ccc7437b522f752216f58aefdb4542c88400", "source" : "personio", "language" : "en", "applyUrl" : "https://coriolis.jobs.personio.de/job/2660712", "externalId" : "2660712", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9966530,-78.9018053" } ], "locationText" : "Durham, North Carolina, United States", "rawDescription" : "Purpose of your Job As part of our dynamic Formulation Development & Analytics unit, you will contribute to enabling the next generation of biopharmaceutical therapies. Our team develops innovative formulation and analytical strategies under BSL-1/2 and S1/S2 safety levels as well as GMP quality standards, ensuring scientific excellence, precision, and curiosity. This role supports Coriolis Pharma’s global growth, including the expansion of new U.S. facilities in North Carolina’s Research Triangle Park (RTP). You will help transfer expertise, establish scientific capabilities, and ensure seamless integration of processes across locations. In this position, you will transform scientific questions into analytical insights by developing state-of-the-art methods, interpreting complex data, and contributing to client projects in an international environment. You will further develop both your technical expertise and personal skills. This opportunity is ideal for someone who enjoys hands-on laboratory work, thrives in a project-driven setting, and is excited to contribute to scientific excellence and the establishment of a new U.S. site. Your Responsibility Project Work Be part of project teams for client projects (e.g., liquid/lyophilization formulation development, comparability and stress testing, storage stability study) as assigned by the superior with special focus on biophysical characterization techniques for biopharmaceuticals. Work as 1st or 2nd project leader and/or team member for projects. Contribute to the development of work plans, testing procedures and/or amendments for customer projects. Correctly, timely and independently plan and execute formulation preparation / analytical testing / experiments. Independently perform analytical method transfer/implementation. Demonstrate solid understanding of performed analytical methods and be able to apply the knowledge to interpret the data. Perform data analysis and subsequently put data into context for data presentation and/or report. Support scientific discussion in client meetings. Appropriately act on unforeseen events. Scientific Expertise Serve as an expert on several instruments, analytical methods, and application areas, including biophysical characterization methods (e.g., ability to perform method development, interpretation of data, troubleshooting and training of new users on analytical procedures including analytical ultracentrifugation and circular dichroism). Implementation of new analytical equipment / technologies and application of the methods within client projects. Training & Mentoring Support onboarding of new team members. Liaise with superior on training needs. Act as mentor. Laboratory Operations Serve as a System Owner for laboratory equipment: responsible for operator training, equipment maintenance, calibration and qualification. Ensure that GRP rules are followed and documented. Ensure general laboratory cleanliness. Other duties as assigned by superior. Initiative application What you need to succeed University degree in pharmaceutical sciences, (bio)chemistry, biology, or a related field Minimum 3 years of relevant experiences, e.g. employment in pharmaceutical industry / analytical laboratory (e.g. CDMO) or PhD studies Experience with equipment commissioning, maintenance, and LIMS Proven track record and hands-on experience in relevant biophysical characterization techniques (AUC, CD, µDSC, FTIR, fluorescence, DLS, nanoDSF) is strongly preferred Additional expertise in planning and execution of biosimilar testing is a plus Proficiency in HPLC/UPLC-analysis (SEC, IEX, RP, LC-CAD, LC-MS), CE-analysis and subvisible particle analysis (MFI, LO) is highly beneficial Knowhow of biopharmaceutical formulation development, clinical in-use testing and PPM comparability testing is beneficial Strong verbal and written communication skills Good knowledge of English (both written and spoken) Good time management and prioritization skills Eagerness to learn and develop new skills Open-minded and able to adapt strategies to changes Strong intercultural and interdisciplinary team player Strong problem-solving skills Hands-on mentality: practical, solution-oriented approach with a willingness to take initiative Candidates must be based in North Carolina (NC) or willing to relocate to NC Invest in yourself Why to join Coriolis? Let’s formulate innovation together… Our success & development is created by the people working together @Coriolis. We put People first! That’s why we have a growth mindset, and value personality, collaboration and community to create an empowering and inspiring working space with focus on quality and customers. We would like to grow together with you! Let’s continue building and creating the future now! Join our Team of currently around 200 employees. In a highly motivated and interdisciplinary team, we provide you with a great chance to increase your experience. We offer an attractive work space at the Martinsried site. Let’s make a difference together! Coriolis Pharma is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, citizenship or gender identity, color, disability, religion/belief, sexual orientation, marital status, age or individual preferences. Different backgrounds, experiences and ideas push us further and raise the bar. Thank you for your interest! We look forward to receiving your application documents. Please use our career portal exclusively for this purpose. We would like to support you from the very beginning to shape your development possibilities here at Coriolis. For questions or further information, please visit our website or contact us directly. We are looking forward to your application! Your Contact Dominik Schwemmer Senior Business Partner - Talent & Development People, Organization & Culture Unit Coriolis Pharma Research GmbH Phone: +49 (0) 89 – 417760 - 0 Fraunhoferstraße 18 b, 82152 Martinsried www.coriolis-pharma.com", "summaryDescription" : "Scientist (f/m/d) – Biophysical Characterization at Coriolis Pharma", "createdAt" : "2026-06-14T19:43:30.688", "lastUpdated" : "2026-06-16T01:46:11.089", "ingestTimestamp" : "2026-06-14T19:43:30.688", "mongoId" : "6a2d58ed74d8ee00a0b87b4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 628.50165, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10aa70f0b99d58e7b9c5", "title" : "ML Compiler Engineer, AWS Neuron", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ML Compiler Engineer in Toronto, Canada, adjusted for the technology industry and large company size." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T07:41:22.202", "fingerprint" : "c5f8e9779acedc9691871d1d79db83c2404dcffc867e0ef74c8c26ec06be7ddf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105276/apply", "externalId" : "07587543-5422-4ea1-b6a8-f2ae70193594", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Machine Learning, GenAI, Deep Learning, PyTorch, TensorFlow, JAX, AWS, Cloud", "professionalSkills" : [ "Performance analysis", "Optimization techniques", "Systems engineering", "Compiler engineering" ], "hardSkillsList" : [ "Compiler optimizations", "Performance profiling", "Model enablement" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Compiler optimizations", "level" : "intermediate" }, { "name" : "Performance profiling", "level" : "intermediate" }, { "name" : "Model enablement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "ML Compiler, Performance optimization, Machine Learning", "majorSkillsList" : [ "ML Compiler", "Performance optimization", "Machine Learning" ], "coreResponsibilities" : "Analyze system-level performance, Optimize machine learning models, Conduct performance analysis, Resolve bottlenecks, Enable and optimize ML models, Design compiler optimizations, Implement compiler optimizations, Develop optimization techniques, Enhance SDK performance", "teamCollaboration" : "Across compiler teams; Across runtime teams; Across framework teams; Cross-functional teams", "domainKnowledge" : "Machine Learning; High-performance computing; Distributed architectures; Deep learning compiler stack; ML accelerators; GenAI workloads", "domainList" : [ "machine-learning", "high-performance-computing", "distributed-architectures", "deep-learning-compiler-stack", "ml-accelerators", "genai-workloads" ], "domainSpecificKnowledge" : [ "Machine Learning", "High-performance computing", "Distributed architectures", "Deep learning compiler stack", "ML accelerators", "GenAI workloads" ], "toolProficiency" : [ "AWS Neuron SDK" ], "continuousLearning" : "Learning experiences; Knowledge sharing", "innovationCreativity" : "Inventing; Experimenting", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "3+ years software development, 2+ years system design, Programming experience", "qualificationsPreferred" : "3+ years SDLC experience, Bachelor's degree computer science, Experience in n and hiring process", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. The Product: The AWS Machine Learning accelerators (Inferentia/Trainium) offer unparalleled ML inference and training performances. They are enabled through state-of-the-art software stack - the AWS Neuron Software Development Kit (SDK). This SDK comprises an ML compiler, runtime, and application framework, which seamlessly integrate into popular ML frameworks like PyTorch. AWS Neuron, running on Inferentia and Trainium, is trusted and used by leading customers such as Snap, Autodesk, and Amazon Alexa. The Team: Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered over the last few years. Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM, Vision, and multi-modal models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators. The team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. The Neuron team is hiring systems and compiler engineers in order to solve our customers toughest problems. Specifically, the performance team in Toronto is focused on analysis and optimization of system-level performance of machine learning models on AWS ML accelerators. The team conducts in-depth profiling and works across multiple layers of the technology stack - from frameworks and compilers to runtime and collectives - to meet and exceed customer requirements while maintaining a competitive edge in the market. As part of the Neuron Compiler organization, the team not only identifies and implements performance optimizations but also works to crystallize these improvements into the compiler, automating optimizations for broader customer benefit. This is an opportunity to work on products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html https://aws.amazon.com/machine-learning/neuron/ https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success Key job responsibilities Our performance engineers collaborate across compiler, runtime, and framework teams to optimize machine learning workloads for our global customer base. Working at the intersection of machine learning, high-performance computing, and distributed systems, you'll bring a passion for performance analysis, distributed systems, and machine learning. In this role, you will: - Analyze and optimize system-level performance of machine learning models across the entire technology stack, from frameworks to runtime - Conduct detailed performance analysis and profiling of ML workloads, identifying and resolving bottlenecks in large-scale ML systems - Work directly with customers to enable and optimize their ML models on AWS accelerators, understanding their specific requirements and use cases - Design and implement compiler optimizations, transforming manual performance improvements into automated compiler passes - Collaborate across teams to develop innovative optimization techniques that enhance AWS Neuron SDK's performance capabilities - Work in a startup-like development environment, where you’re always working on the most important stuff. About the team #1. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. #2. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. #3. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. #4. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. #5. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators. - Experience with System Level performance analysis and optimization - Experience with LLVM and/or MLIR - Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "ML Compiler Engineer, AWS Neuron at Amazon Development Centre Canada ULC. Skills: ML Compiler, Performance optimization, Machine Learning. Analyze system-level performance. Optimize machine learning models", "postedDate" : "2026-06-13T20:49:10.583", "createdAt" : "2026-06-13T20:49:10.583", "lastUpdated" : "2026-06-15T07:41:22.202", "ingestTimestamp" : "2026-06-13T20:49:10.583", "mongoId" : "68ed10aa70f0b99d58e7b9c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105276/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Compiler optimizations", "Performance profiling", "Model enablement", "Mentoring", "ML Compiler", "Performance optimization", "Machine Learning", "Performance analysis", "Optimization techniques", "Systems engineering", "Compiler engineering", "High-performance computing", "Distributed architectures", "Deep learning compiler stack", "ML accelerators", "GenAI workloads", "AWS Neuron SDK" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 627.6043, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693072a570f0b99d58ffb6af", "title" : "Software Development Manager, AWS Neuron", "company" : "Annapurna Labs", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:59:46.303", "fingerprint" : "01de5ac8127fdc948a162e0683615c7821cfc655d8a23eedf102590ebba4c652", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134815/apply", "externalId" : "1490ba5a-2020-4ebd-874a-231c2d53a7c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, PyTorch, JAX, TensorFlow, LLVM, MLIR", "professionalSkills" : [ "Compiler design", "Chip architecture", "Code generation", "Hardware bring-up" ], "hardSkillsList" : [ "Compiler development", "Optimization techniques" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Compiler development", "level" : "intermediate" }, { "name" : "Optimization techniques", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning Compiler, Compiler design, Hardware bring-up", "majorSkillsList" : [ "Machine Learning Compiler", "Compiler design", "Hardware bring-up" ], "coreResponsibilities" : "Lead Deep-Learning Backend Compiler team, Manage compiler engineers, Focus on machine learning compiler design, Focus on machine learning compiler development, Drive design of ML compiler solutions, Drive implementation of ML compiler solutions, Develop advanced optimization techniques, Lead hardware bring-up for next-generation chips, Influence pre-silicon design decisions, Mentor your team", "teamCollaboration" : "Small, agile teams; Multidisciplinary team", "domainKnowledge" : "Machine Learning accelerators; ML inference; ML training; ML compiler; Computer architecture; Chip architecture", "domainList" : [ "machine-learning-accelerators", "ml-inference", "ml-training", "ml-compiler", "computer-architecture", "chip-architecture" ], "domainSpecificKnowledge" : [ "Machine Learning accelerators", "ML inference", "ML training", "ML compiler", "Computer architecture", "Chip architecture" ], "continuousLearning" : "Continuous learning; Knowledge sharing; Mentorship", "innovationCreativity" : "Rapid innovation; Experimentation", "outcomesObjectives" : "Accelerate delivery of innovative products; Accelerate delivery of features to market", "qualificationsBasic" : "Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, 5+ years of Software Engineer, Software Developer, or related occupational experience, 5+ years of engineering team management experience, Proven track record in new hardware bring-up, Solid Knowledge of computer/chip architecture, Solid Knowledge of code generation, Solid Knowledge of ISA", "qualificationsPreferred" : "Experience in compiler design and architecture, Knowledge of AI/ML accelerator architectures, Knowledge of LLVM, Knowledge of MLIR", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative products and features to market. Explore the Product: https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html, https://github.com/aws/aws-neuron-sdk https://aws.amazon.com/machine-learning/neuron/, https://aws.amazon.com/machine-learning/neuron/ A day in the life About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Basic Qualifications: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 5+ years of Software Engineer, Software Developer, or related occupational experience - 5+ years of engineering team management experience - Proven track record in new hardware bring-up - Solid Knowledge of computer/chip architecture, code generation and ISA Preferred Qualifications: - Experience in compiler design and architecture - Knowledge of AI/ML accelerator architectures - Knowledge of LLVM and MLIR Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 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Clients", "projectManagementSkills" : [ "Case management" ], "domainKnowledge" : "Complex commercial litigation; Construction defect litigation; Employment litigation; Premises liability litigation; Product liability litigation; Catastrophic injury litigation; Medical malpractice litigation; Trucking litigation; Toxic tort litigation; Professional liability litigation; Business litigation; Appeals; Arbitration; Mediation", "domainList" : [ "complex-commercial-litigation", "construction-defect-litigation", "employment-litigation", "premises-liability-litigation", "product-liability-litigation", "catastrophic-injury-litigation", "medical-malpractice-litigation", "trucking-litigation", "toxic-tort-litigation", "professional-liability-litigation", "business-litigation", "appeals", "arbitration", "mediation" ], "domainSpecificKnowledge" : [ "Complex commercial litigation", "Construction defect litigation", "Employment litigation", "Premises liability litigation", "Product liability litigation", "Catastrophic injury litigation", "Medical malpractice litigation", "Trucking litigation", "Toxic tort litigation", "Professional liability litigation", "Business litigation", "Appeals", "Arbitration", "Mediation" ], "toolProficiency" : [ "Westlaw", "LexisNexis" ], "communicationSkills" : "Client counseling; Courtroom advocacy", "documentationSkills" : "Pleading drafting; Motion drafting; Discovery documents", "problemSolvingSkills" : "Legal analysis; Case strategy", "outcomesObjectives" : "Achieve favorable case outcomes; Successfully resolve client matters", "qualificationsBasic" : "5+ years of complex trial experience, Admission to the State Bar", "qualificationsPreferred" : "Experience with complex commercial litigation, Experience with construction defect litigation, Experience with employment litigation, Experience with premises liability litigation, Experience with product liability litigation, Experience with catastrophic injury litigation, Experience with medical malpractice litigation, Experience with trucking litigation, Experience with toxic tort litigation, Experience with professional liability litigation, Experience with business litigation, Experience with appeals, Experience with arbitration, Experience with mediation", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Tyson & Mendes – Senior Counsel, Complex Trial Teams Where Insurance Defense Meets Innovation Please note: An active bar license in the State of California is required. At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability. Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation. Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments. Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations. Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively. Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices. Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments. Requirements Juris Doctor (JD) from an accredited law school. Active license to practice law in the State of California and eligibility to practice in federal courts. 8+ years of experience in insurance defense litigation with a strong focus on complex trial work. Demonstrated success as lead trial counsel in multiple high-stakes cases. Strong knowledge of civil procedure, tort law, insurance law, and trial strategies. Proven ability to manage and prioritize a large, demanding caseload with limited oversight. Exceptional oral advocacy, legal writing, and negotiation skills. Strong client relationship management skills with an ability to communicate complex legal strategies effectively. Background in catastrophic injury, construction defect, or professional liability cases preferred. Experience with e-discovery tools and case management software. Membership in local or national trial lawyer associations is a plus. Compensation Package The base salary for this position ranges from $160,000-190,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Employees receive a monthly technology reimbursement of $60 Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues Flexible Work Model: Remote, hybrid, or onsite options available About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-remote Pay Range $160,000—$190,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial, Litigation, Legal analysis. Manage complex trial cases. 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At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments Requirements Juris Doctor (JD) from an accredited law school Active license to practice law in New York and eligibility to practice in federal courts 8+ years of experience in insurance defense litigation with a strong focus on complex trial work Demonstrated success as lead trial counsel in multiple high-stakes cases Strong knowledge of civil procedure, tort law, insurance law, and trial strategies Proven ability to manage and prioritize a large, demanding caseload with limited oversight Exceptional oral advocacy, legal writing, and negotiation skills Strong client relationship management skills with an ability to communicate complex legal strategies effectively Background in catastrophic injury, construction defect, or professional liability cases preferred Experience with e-discovery tools and case management software Membership in local or national trial lawyer associations is a plus Compensation Package The base salary for this position ranges from $150,000-$200,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Employees receive a monthly technology reimbursement of $60 Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-hybrid Pay Range $150,000—$200,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial, Litigation, Legal strategy. Manage complex litigation caseload. 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Cross-functional teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Polymer science; Material science; Characterization techniques", "domainList" : [ "polymer-science", "material-science", "characterization-techniques" ], "domainSpecificKnowledge" : [ "Polymer science", "Material science", "Characterization techniques" ], "toolProficiency" : [ "Spectroscopy equipment", "Microscopy equipment", "Thermal analysis equipment", "Rheometers", "Mechanical testers", "Statistical software" ], "communicationSkills" : "Technical reports; Present findings", "documentationSkills" : "Technical reports", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Problem-solving; Data analysis", "qualificationsBasic" : "3-5 years of experience, Bachelor's degree in a relevant field, Experience with material characterization techniques, Experience with polymer science", "qualificationsPreferred" : "Master's degree or PhD, Experience with spectroscopy, Experience with microscopy, Experience with thermal analysis, Experience with rheology, Experience with mechanical testing, Experience with statistical analysis software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Avery Dennison Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at [www.averydennison.com](http://www.averydennison.com). Avery Dennison is an equal opportunity employer. Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via [Requestaccomodation@eu.averydennison.com](mailto:Requestaccomodation@eu.averydennison.com). Job Purpose/Summary: What is the overall purpose of the role? What are the high level objectives/business impact/scope and responsibilities? * This role includes the responsibility of handling instruments such as spectroscopy, Chromatography, thermal and rheometer to interpret data, method development and make scientific reports with proper conclusions. * Understand the product design and application and connect the same with material science for proper interpretation. * Interact /Interface with all sections of the Regional & Global Technical Teams and component experts, as well as the Manufacturing team. * Need to work with the technical service/ process/ quality functions to help in solving problems related to customer complaints etc. * The candidate should blend knowledge of polymer science with cutting-edge digital literacy (AI tools and Google Workspace etc) to deliver rapid, insightful scientific reports and support global technical teams. Key Accountabilities: Accountabilities are the descriptive statements that describe the main results that the role holder is expected to deliver. These are the enduring aspects of a role and do not change significantly from one year to the next. * Provide technical solutions using material science * Understand the existing product technically and link the same with material science * Lead problem-solving lab requests with appropriate technical methods * Technical recommendation and solution to the requester on the problem * Provide timely, detailed technical reports to resolve the complaints. * Cross-functional team management/communication to close the Analytical requests * Work with COP and Global subject matter experts to establish new methods * Be a local SME for analytical-related quality issues * Provide technical support to a cross-functional team. * Technical support to project team * Analyze and identify performance gaps between the performance of existing product construction and how customers & end-users expect it to perform. Determine and suggest necessary actions to improve the performance of existing product construction to meet with customers & end-users’ requirements. * Resolve technical problems, troubleshoot and recommend technical solutions to meet customer needs and requirements. * Assess stakeholder needs in order to recommend appropriate methods and analytical tools. Investigate new methods or improvements to resolve the requirement products with customers and work with NPD teams in projects to assess testing and performance requirements * Gain a preliminary understanding of regulatory/compliance requirements related to product and market applications. * Leverage modern AI tools to accelerate documentation, literature review, data analysis and technical writing workflows. ## Qualifications EDUCATION: * Essential: PhD. or M.Tech. in Polymer Science, Material Characterization, Analytical Chemistry, Printing & Packaging, or a related engineering/scientific discipline. * Experience: 3–5 years of industrial experience in material characterization, analytical chemistry, or polymer product development and commercialization. REQUIRED SKILLS: * Core Instruments: Hands-on proficiency and strong theoretical knowledge in Chromatography, Rheology, Spectroscopy, and Thermal Analysis instruments and physical testing instruments * Communication: Exceptional written & verbal English communication skills, with an ability to write rigorous technical reports. * Preliminary understanding of global regulatory and compliance standards related to polymer and packaging applications. * Data & Digital Literacy: Strong knowledge of statistical tools and common computer software (Google Workspace-desirable). Familiarity with utilizing AI tools to optimize research efficiency is a strong plus. ## Additional Information Please note that if you have not heard from the HR Department within 30 days of this advert closing, your application has unfortunately been unsuccessful. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Scientist-Material Science and Characterization at Avery Dennison. Skills: Material characterization, Polymer science. Perform material characterization experiments. 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Internal customers; Engineering teams; Academic communities; Research communities; Distinguished engineers; Scientists", "domainKnowledge" : "ML systems; ML workloads; ML accelerator architectures; Generative AI; Cloud computing", "domainList" : [ "ml-systems", "ml-workloads", "ml-accelerator-architectures", "generative-ai", "cloud-computing" ], "domainSpecificKnowledge" : [ "ML systems", "ML workloads", "ML accelerator architectures", "Generative AI", "Cloud computing" ], "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Optimization opportunities; Accuracy validation; Reliability validation", "qualificationsBasic" : "PhD in computer science, PhD in computer engineering, Experience in patents, Experience in publications, Experience in algorithms, Experience in data structures, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience programming in related language, Experience using Unix/Linux", "qualificationsPreferred" : "Experience in ML compiler, Experience in ML optimization, Experience in ML performance, Experience in ML robustness, Experience in ML accuracy, Experience in ML reliability, Experience in ML kernel development, Experience in ML accelerator architectures, Experience in generative AI services, Experience in cloud computing offerings", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - PhD in computer science, computer engineering, or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux Preferred Qualifications: - Experience in investigating, designing, prototyping, and delivering new and innovative system solutions - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, AWS Neuron Science Team at Annapurna Labs. Skills: Machine Learning, ML Compiler, System Robustness, Kernel Development. Enhance software stack. Accelerate customer adoption", "postedDate" : "2026-06-13T20:33:23.180", "createdAt" : "2026-06-13T20:33:23.180", "lastUpdated" : "2026-06-15T03:21:55.606", "ingestTimestamp" : "2026-06-13T20:33:23.180", "mongoId" : "68e6b1dc70f0b99d58d66e33", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102580/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine Learning", "ML Compiler", "System Robustness", "Kernel Development", "Kernel generation", "Code generation", "Compiler techniques", "Accuracy validation", "Reliability validation", "Kernel development", "Accelerator architectures", "ML systems", "ML workloads", "ML accelerator architectures", "Generative AI", "Cloud computing" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 572.39624, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde45b2beec4dd3d9a3f18", "title" : "Research Associate - Precision Oncology of Gastrointestinal Cancers", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Associate in the Biotech industry in Monrovia, California, adjusted for company size and seniority." }, "location" : "United States-California-Monrovia", "locations" : [ "United States-California-Monrovia", "Laboratory Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T07:23:53.347", "fingerprint" : "09dbaa06841a0d34f7dcdbbb2f3e4001bb6c2e4f25763cb58358e532dc6a7b63", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=232724", "externalId" : "232724", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monrovia", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1483499,-118.0014517" } ], "locationText" : "Monrovia, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "hardSkillsList" : [ "Cancer Genetics", "Epigenetics techniques" ], "hardSkills" : [ { "name" : "Cancer Genetics", "level" : "intermediate" }, { "name" : "Epigenetics techniques", "level" : "intermediate" } ], "majorSkills" : "Gastrointestinal cancers, Genomic characterization, Epigenomic characterization", "majorSkillsList" : [ "Gastrointestinal cancers", "Genomic characterization", "Epigenomic characterization" ], "coreResponsibilities" : "Maintain reagent inventories, Maintain clinical specimen inventories, Order lab supplies, Maintain lab safety, Perform regulatory tasks, Handle bio-hazardous material, Store bio-hazardous material, Dispose of bio-hazardous material, Handle infectious material, Store infectious material, Dispose of infectious material, Handle toxic material, Store toxic material, Dispose of toxic material, Perform laboratory research experiments, Record results, Validate results, Perform Cancer Genetics techniques, Perform Epigenetics techniques, Assist in Investigator's Research Project, Record work performed, Record results, Record methodology", "teamCollaboration" : "Multidisciplinary research team", "domainKnowledge" : "Gastrointestinal cancers; Colorectal cancer; Pancreatic cancer; Gastric cancer; Esophageal cancer; Hepatocellular cancer; GI oncology; Genomic characterization; Epigenomic characterization", "domainList" : [ "gastrointestinal-cancers", "colorectal-cancer", "pancreatic-cancer", "gastric-cancer", "esophageal-cancer", "hepatocellular-cancer", "gi-oncology", "genomic-characterization", "epigenomic-characterization" ], "domainSpecificKnowledge" : [ "Gastrointestinal cancers", "Colorectal cancer", "Pancreatic cancer", "Gastric cancer", "Esophageal cancer", "Hepatocellular cancer", "GI oncology", "Genomic characterization", "Epigenomic characterization" ], "documentationSkills" : "Record results; Record methodology", "qualificationsBasic" : "Maintain lab management, Ensure lab activities comply, Perform routine experiments, Record and validate results, Perform Cancer Genetics techniques, Perform Epigenetics techniques, Record work performed", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. We seek a Research Associate candidate within the multidisciplinary research team headed by Dr. Ajay Goel, Professor and Chair Department of Molecular Diagnostics and Experimental Therapeutics and Associate Director of Basic Sciences, City of Hope Comprehensive Cancer. Our research focuses on translational studies of the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including colorectal, pancreatic, gastric, esophageal, and hepatocellular cancers. Our group performs cutting-edge research in GI oncology, is very productive, and publishes in high-impact journals such as Nature Cancer, Nature Communications, Nature Biotechnology, Nature Reviews Gastroenterology and Hepatology, New England Journal of Medicine, CA: A Journal for Clinicians, Gastroenterology, Cancer Cell, PNAS, JAMA Oncology, JNCI, Cancer Research, Clinical Cancer Research, , Annals of Surgery, etc. For more information on Dr. Goel’s research, please visit here . As a successful candidate, you will: · Maintain various aspects of lab management, including maintenance and upkeep of reagent and clinical specimen inventories, ordering, lab safety, and regulatory tasks. · Ensure that all laboratory activities comply with each procedure(s) by utilizing safety procedures and guidelines in handling, storage, and disposal of bio-hazardous, infectious, and toxic material. · Perform a variety of routine and non-routine laboratory research experiments and record and validate results for accuracy and completeness. · Perform Cancer Genetics and Epigenetics techniques and general lab maintenance that assist in conducting an Investigator’s Research Project. · Be responsible for accurately recording work performed, including results and methodology. Your qualifications should include: · Bachelor’s degree with 0-2 years of research/laboratory experience · Exceptional attention to detail, accuracy in lab work, and robust record-keeping skills City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Research Associate - Precision Oncology of Gastrointestinal Cancers at City of Hope. Skills: Gastrointestinal cancers, Genomic characterization, Epigenomic characterization. Maintain reagent inventories. Maintain clinical specimen inventories", "createdAt" : "2026-06-14T01:16:49.957", "lastUpdated" : "2026-06-15T07:23:53.347", "ingestTimestamp" : "2026-06-14T01:16:49.957", "mongoId" : "69dde45b2beec4dd3d9a3f18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Cancer Genetics", "Epigenetics techniques", "Gastrointestinal cancers", "Genomic characterization", "Epigenomic characterization", "Colorectal cancer", "Pancreatic cancer", "Gastric cancer", "Esophageal cancer", "Hepatocellular cancer", "GI oncology" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 568.6352, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f85f292fd229cee84e0", "title" : "Scientist-Material Science and Characterization", "company" : "Avery Dennison", "industry" : "Packaging And Containers", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Scientist-Material Science and Characterization in Pune, India, adjusted for the manufacturing industry and company size." }, "location" : "Pune, Maharashtra, IN", "locations" : [ "Pune", "Maharashtra", "IN" ], "timestamp" : "2026-06-16T08:47:04.704", "fingerprint" : "9072f45e2f015a9b5958e5e59efec12706861fe2d809c4a5a0c32a956f9015fb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AveryDennison/744000131650069-scientist-material-science-and-characterization", "externalId" : "744000131650069", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Python, C++, MATLAB, SolidWorks, COMSOL, ANSYS", "professionalSkills" : [ "Material characterization", "Data analysis", "Experimental design" ], "hardSkillsList" : [ "Material science", "Polymer science", "Surface science", "Mechanical testing", "Thermal analysis", "Spectroscopy", "Microscopy" ], "hardSkills" : [ { "name" : "Material science", "level" : "intermediate" }, { "name" : "Polymer science", "level" : "intermediate" }, { "name" : "Surface science", "level" : "intermediate" }, { "name" : "Mechanical testing", "level" : "intermediate" }, { "name" : "Thermal analysis", "level" : "intermediate" }, { "name" : "Spectroscopy", "level" : "intermediate" }, { "name" : "Microscopy", "level" : "intermediate" } ], "majorSkills" : "Material science, Characterization, Data analysis", "majorSkillsList" : [ "Material science", "Characterization", "Data analysis" ], "coreResponsibilities" : "Conduct material characterization experiments, Analyze experimental data, Develop new materials, Collaborate with R&D teams, Document research findings, Present results to stakeholders, Maintain laboratory equipment", "teamCollaboration" : "R&D teams", "domainKnowledge" : "Polymer science; Surface science; Adhesives; Coatings", "domainList" : [ "polymer-science", "surface-science", "adhesives", "coatings" ], "domainSpecificKnowledge" : [ "Polymer science", "Surface science", "Adhesives", "Coatings" ], "toolProficiency" : [ "SolidWorks", "COMSOL", "ANSYS" ], "communicationSkills" : "Technical documentation; Present results", "documentationSkills" : "Research findings", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3-5 years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree, PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Avery Dennison Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at [www.averydennison.com](http://www.averydennison.com). Avery Dennison is an equal opportunity employer. Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via [Requestaccomodation@eu.averydennison.com](mailto:Requestaccomodation@eu.averydennison.com). Job Purpose/Summary: What is the overall purpose of the role? What are the high level objectives/business impact/scope and responsibilities? * This role includes the responsibility of handling instruments such as spectroscopy, Chromatography, thermal and rheometer to interpret data, method development and make scientific reports with proper conclusions. * Understand the product design and application and connect the same with material science for proper interpretation. * Interact /Interface with all sections of the Regional & Global Technical Teams and component experts, as well as the Manufacturing team. * Need to work with the technical service/ process/ quality functions to help in solving problems related to customer complaints etc. * The candidate should blend knowledge of polymer science with cutting-edge digital literacy (AI tools and Google Workspace etc) to deliver rapid, insightful scientific reports and support global technical teams. Key Accountabilities: Accountabilities are the descriptive statements that describe the main results that the role holder is expected to deliver. These are the enduring aspects of a role and do not change significantly from one year to the next. * Provide technical solutions using material science * Understand the existing product technically and link the same with material science * Lead problem-solving lab requests with appropriate technical methods * Technical recommendation and solution to the requester on the problem * Provide timely, detailed technical reports to resolve the complaints. * Cross-functional team management/communication to close the Analytical requests * Work with COP and Global subject matter experts to establish new methods * Be a local SME for analytical-related quality issues * Provide technical support to a cross-functional team. * Technical support to project team * Analyze and identify performance gaps between the performance of existing product construction and how customers & end-users expect it to perform. Determine and suggest necessary actions to improve the performance of existing product construction to meet with customers & end-users’ requirements. * Resolve technical problems, troubleshoot and recommend technical solutions to meet customer needs and requirements. * Assess stakeholder needs in order to recommend appropriate methods and analytical tools. Investigate new methods or improvements to resolve the requirement products with customers and work with NPD teams in projects to assess testing and performance requirements * Gain a preliminary understanding of regulatory/compliance requirements related to product and market applications. * Leverage modern AI tools to accelerate documentation, literature review, data analysis and technical writing workflows. ## Qualifications EDUCATION: * Essential: PhD. or M.Tech. in Polymer Science, Material Characterization, Analytical Chemistry, Printing & Packaging, or a related engineering/scientific discipline. * Experience: 3–5 years of industrial experience in material characterization, analytical chemistry, or polymer product development and commercialization. REQUIRED SKILLS: * Core Instruments: Hands-on proficiency and strong theoretical knowledge in Chromatography, Rheology, Spectroscopy, and Thermal Analysis instruments and physical testing instruments * Communication: Exceptional written & verbal English communication skills, with an ability to write rigorous technical reports. * Preliminary understanding of global regulatory and compliance standards related to polymer and packaging applications. * Data & Digital Literacy: Strong knowledge of statistical tools and common computer software (Google Workspace-desirable). Familiarity with utilizing AI tools to optimize research efficiency is a strong plus. ## Additional Information Please note that if you have not heard from the HR Department within 30 days of this advert closing, your application has unfortunately been unsuccessful. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Scientist-Material Science and Characterization at Avery Dennison. Skills: Material science, Characterization, Data analysis. Conduct material characterization experiments. Analyze experimental data", "postedDate" : "2026-06-11T11:28:20.000", "createdAt" : "2026-06-15T21:36:02.410", "lastUpdated" : "2026-06-16T08:47:04.704", "ingestTimestamp" : "2026-06-15T21:36:02.410", "mongoId" : "6a304f85f292fd229cee84e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Material science", "Polymer science", "Surface science", "Mechanical testing", "Thermal analysis", "Spectroscopy", "Microscopy", "Characterization", "Data analysis", "Material characterization", "Experimental design", "Adhesives", "Coatings", "SolidWorks", "COMSOL", "ANSYS" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 568.4825, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308ec6f292fd229c0a524b", "title" : "System Characterization Engineer", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 280000.0, "max" : 450000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level System Characterization Engineer in Shanghai, China, adjusted for the technology industry and company size." }, "location" : "Shanghai, Shanghai, CN", "locations" : [ "Shanghai", "Shanghai", "CN" ], "timestamp" : "2026-06-16T13:05:14.563", "fingerprint" : "c9eaa08d08004a675b287a72e3143e2d3810567cadca579dea1c458d01e8da24", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000131414691-china-system-characterization-engineer", "externalId" : "744000131414691", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "state" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2323437,121.4691024" } ], "locationText" : "Shanghai, Shanghai, China", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "MATLAB, Python, C++, SQL, SAS, SATA", "professionalSkills" : [ "System design", "Failure analysis", "Data analysis" ], "hardSkillsList" : [ "Servo control", "Statistics", "Signal processing" ], "hardSkills" : [ { "name" : "Servo control", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "System characterization, Failure analysis, Customer support", "majorSkillsList" : [ "System characterization", "Failure analysis", "Customer support" ], "coreResponsibilities" : "Support system characterization team, Review drive log, Identify causes of failures, Correlate log data to performance loss, Review and analyze Manufacturing data, Establish baseline for drives, Collaborate to identify product improvements, Understand new features impacting performance, Develop failure analysis tools, Engage with subject matter experts, Summarize findings, Present information and ideas, Develop analysis procedures, Improve analysis tools, Document analysis procedures, Expedite future characterization", "teamCollaboration" : "Cross-functional teams; Customer engagements; Joint investigations", "domainKnowledge" : "Hard Drives; Storage applications; SAS protocol; SATA protocol; Customer systems; System-level issues; Product design; Product validation; Performance metrics; Servo; Mechanical; RSS", "domainList" : [ "hard-drives", "storage-applications", "sas-protocol", "sata-protocol", "customer-systems", "system-level-issues", "product-design", "product-validation", "performance-metrics", "servo", "mechanical", "rss" ], "domainSpecificKnowledge" : [ "Hard Drives", "Storage applications", "SAS protocol", "SATA protocol", "Customer systems", "System-level issues", "Product design", "Product validation", "Performance metrics", "Servo", "Mechanical", "RSS" ], "toolProficiency" : [ "MATLAB" ], "communicationSkills" : "Present information; Customer engagement", "documentationSkills" : "Document analysis procedures", "problemSolvingSkills" : "Problem solving; Root cause analysis", "specialRequirements" : "Travel within China, Occasional international travel", "qualificationsBasic" : "Bachelors or MS degree in electrical or mechanical engineering, Background in servo control, statistics and signal processing, Detailed knowledge of Hard Drives and storage applications, Experience with servers and server testing, Experience with multiple OS (Linux, Windows), Written and verbal English communication, Mandarin required for customer engagement, Previous experience supporting China-based cloud/enterprise customers, Excellent working knowledge of MATLAB, Proven application of applying technical skills to problem solving", "qualificationsPreferred" : "Knowledge and experience with Python, C++, and/or SQL is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™ brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. As a System Characterization engineer, you will join the team responsible for the characterization of customer systems within the quality organization. A key aspect of this role is the identification of dynamics and vibration of customer systems that contribute to loss of performance and reliability, using measured results to formulate solutions for both internal and external customers. This role works closely with China‑based customers to ensure successful HDD qualification, debug complex system‑level issues, and drive improvements into product design and validation. 1. Support system characterization team through detailed review of drive log to identify causes of failures and related drive problems on customer and qualification drives. Use log data and UECs to correlate to loss of performance or latency. 2. Review and analyze Manufacturing data to establish a baseline for drives used in system characterization. 3. Using system characterization results, collaborate with Engineering, manufacturing, and product teams to identify potential product improvements through tradeoffs with the engineering, manufacturing, and customer support teams. 4. Understand new features impacting performance metrics such as command throughput and latency; develop associated failure analysis tools, processes, and documentation. 5. Pro-actively engage with subject matter experts in Engineering (servo, mechanical, RSS), Customer Technical Support and Quality teams on customer and qualification issues and during cross-functional failure analysis task forces. 6. Summarize findings and present information, ideas, and your perspective to peers, team members, and managers. 7. Develop, improve, and document analysis, procedures, tool, and process improvements to expedite future characterization of systems. 8. Travel within China and occasional international travel may be required to support customer engagements and joint investigations. ## Qualifications * Bachelors or MS degree in electrical or mechanical engineering. * Background in servo control, statistics and signal processing. * Detailed knowledge of Hard Drives and storage applications. * Experience with servers and server testing and multiple OS (Linux, Windows). * Strong written and verbal English communication skills; Mandarin required for customer engagement. * Previous experience supporting China‑based cloud/enterprise customers (Alibaba, Tencent, Huawei, Baidu, ByteDance, OEM/ODMs). * Excellent working knowledge of MATLAB. * Familiarity with SAS/SATA protocol * Proven application of applying technical skills to problem solving. * Knowledge and experience with Python, C++, and/or SQL is a plus. * Excellent interpersonal and teamworking skills. ## Additional Information Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity. Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the \"Equal Employment Opportunity is the Law\" poster. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "System Characterization Engineer at Western Digital. Skills: System characterization, Failure analysis, Customer support. Support system characterization team. Review drive log", "postedDate" : "2026-06-10T10:04:14.000", "createdAt" : "2026-06-16T03:32:58.998", "lastUpdated" : "2026-06-16T13:05:14.563", "ingestTimestamp" : "2026-06-16T03:32:58.998", "mongoId" : "6a308ec6f292fd229c0a524b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Servo control", "Statistics", "Signal processing", "System characterization", "Failure analysis", "Customer support", "System design", "Data analysis", "Hard Drives", "Storage applications", "SAS protocol", "SATA protocol", "Customer systems", "System-level issues", "Product design", "Product validation", "Performance metrics", "Servo", "Mechanical", "RSS", "MATLAB" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 565.65936, "daysOld" : 6, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a423574d8ee00a05cb445", "title" : "System Characterization Engineer", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 325000.0, "max" : 510000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level System Characterization Engineer in Shanghai, China, adjusted for the technology industry and company size." }, "location" : "Shanghai, Shanghai, CN", "locations" : [ "Shanghai", "Shanghai", "CN" ], "timestamp" : "2026-06-11T10:15:05.518", "fingerprint" : "21a359ba3905e2d4b059bb1fdae0598d23384d8a6453481e550b9efb41b339c2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000131414691-china-system-characterization-engineer", "externalId" : "744000131414691", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "state" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2323437,121.4691024" } ], "locationText" : "Shanghai, Shanghai, China", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, C++, SQL, SAS, SATA", "professionalSkills" : [ "System characterization", "Failure analysis", "Product improvement", "Customer support" ], "hardSkillsList" : [ "Servo control", "Statistics", "Signal processing", "System-level issues", "Failure analysis", "Data analysis" ], "softSkillsList" : [ "Interpersonal skills", "Teamworking skills" ], "hardSkills" : [ { "name" : "Servo control", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" }, { "name" : "System-level issues", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Teamworking skills" } ], "majorSkills" : "System characterization, Failure analysis, Customer support", "majorSkillsList" : [ "System characterization", "Failure analysis", "Customer support" ], "coreResponsibilities" : "Support system characterization team, Review drive log, Identify causes of failures, Correlate log data to performance loss, Correlate UECs to latency, Review manufacturing data, Establish baseline for drives, Collaborate with Engineering, Collaborate with manufacturing, Collaborate with product teams, Identify potential product improvements, Understand new features impacting performance, Develop failure analysis tools, Develop failure analysis processes, Develop failure analysis documentation, Engage with subject matter experts, Address customer issues, Address qualification issues, Participate in failure analysis task forces, Summarize findings, Present information to peers, Present ideas to peers, Present perspective to peers, Develop analysis procedures, Improve analysis procedures, Document analysis procedures, Develop tool improvements, Improve tool improvements, Document tool improvements, Develop process improvements, Improve process improvements, Document process improvements, Expedite system characterization", "teamCollaboration" : "Cross-functional teams; Customer engagements; Joint investigations", "domainKnowledge" : "Hard Drives; Storage applications; Servers; SAS protocol; SATA protocol; Customer systems; Data storage; Data centers; AI era", "domainList" : [ "hard-drives", "storage-applications", "servers", "sas-protocol", "sata-protocol", "customer-systems", "data-storage", "data-centers", "ai-era" ], "domainSpecificKnowledge" : [ "Hard Drives", "Storage applications", "Servers", "SAS protocol", "SATA protocol", "Customer systems", "Data storage", "Data centers", "AI era" ], "toolProficiency" : [ "MATLAB" ], "communicationSkills" : "Written communication; Verbal communication; Present information", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Travel within China, Occasional international travel", "qualificationsBasic" : "Bachelors or MS degree, Background in servo control, Background in statistics, Background in signal processing, Detailed knowledge of Hard Drives, Detailed knowledge of storage applications, Experience with servers, Experience with server testing, Experience with multiple OS, Written English communication, Verbal English communication, Mandarin required for customer engagement, Proven application of technical skills, Problem solving skills", "qualificationsPreferred" : "Experience supporting China-based customers, Knowledge of Python, Knowledge of C++, Knowledge of SQL", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™ brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. As a System Characterization engineer, you will join the team responsible for the characterization of customer systems within the quality organization. A key aspect of this role is the identification of dynamics and vibration of customer systems that contribute to loss of performance and reliability, using measured results to formulate solutions for both internal and external customers. This role works closely with China‑based customers to ensure successful HDD qualification, debug complex system‑level issues, and drive improvements into product design and validation. 1. Support system characterization team through detailed review of drive log to identify causes of failures and related drive problems on customer and qualification drives. Use log data and UECs to correlate to loss of performance or latency. 2. Review and analyze Manufacturing data to establish a baseline for drives used in system characterization. 3. Using system characterization results, collaborate with Engineering, manufacturing, and product teams to identify potential product improvements through tradeoffs with the engineering, manufacturing, and customer support teams. 4. Understand new features impacting performance metrics such as command throughput and latency; develop associated failure analysis tools, processes, and documentation. 5. Pro-actively engage with subject matter experts in Engineering (servo, mechanical, RSS), Customer Technical Support and Quality teams on customer and qualification issues and during cross-functional failure analysis task forces. 6. Summarize findings and present information, ideas, and your perspective to peers, team members, and managers. 7. Develop, improve, and document analysis, procedures, tool, and process improvements to expedite future characterization of systems. 8. Travel within China and occasional international travel may be required to support customer engagements and joint investigations. ## Qualifications * Bachelors or MS degree in electrical or mechanical engineering. * Background in servo control, statistics and signal processing. * Detailed knowledge of Hard Drives and storage applications. * Experience with servers and server testing and multiple OS (Linux, Windows). * Strong written and verbal English communication skills; Mandarin required for customer engagement. * Previous experience supporting China‑based cloud/enterprise customers (Alibaba, Tencent, Huawei, Baidu, ByteDance, OEM/ODMs). * Excellent working knowledge of MATLAB. * Familiarity with SAS/SATA protocol * Proven application of applying technical skills to problem solving. * Knowledge and experience with Python, C++, and/or SQL is a plus. * Excellent interpersonal and teamworking skills. ## Additional Information Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity. Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the \"Equal Employment Opportunity is the Law\" poster. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "System Characterization Engineer at Western Digital. Skills: System characterization, Failure analysis, Customer support. Support system characterization team. Review drive log", "postedDate" : "2026-06-10T10:04:14.000", "createdAt" : "2026-06-11T07:49:48.782", "lastUpdated" : "2026-06-11T10:15:05.518", "ingestTimestamp" : "2026-06-11T07:49:48.782", "mongoId" : "6a2a423574d8ee00a05cb445", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Servo control", "Statistics", "Signal processing", "System-level issues", "Failure analysis", "Data analysis", "Interpersonal skills", "Teamworking skills", "System characterization", "Customer support", "Product improvement", "Hard Drives", "Storage applications", "Servers", "SAS protocol", "SATA protocol", "Customer systems", "Data storage", "Data centers", "AI era", "MATLAB" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 565.65936, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca40074d8ee00a09af54f", "title" : "Complex Care Healthcare Assistant", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 23.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "timestamp" : "2026-06-16T00:52:45.991", "fingerprint" : "a2ec1ec4c62081a95314f9de379003ab931a0727f050ebc4f4d76e7751030da2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/6353972003", "externalId" : "6353972003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cheltenham", "state" : "Gloucestershire", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8995685,-2.0711559" } ], "locationText" : "Cheltenham, Gloucestershire, United Kingdom", "experienceMinYears" : 1, "professionalSkills" : [ "Complex care", "Personal care", "Manual handling" ], "majorSkills" : "Complex care, Person-centered care", "majorSkillsList" : [ "Complex care", "Person-centered care" ], "coreResponsibilities" : "Support adult male, Attend community events, Support at home, Build trust with individuals, Build trust with families, Create safe environments, Empower people to take trips, Empower people to reconnect with hobbies, Empower people to thrive in community", "domainKnowledge" : "Complex health needs", "domainList" : [ "complex-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs" ], "continuousLearning" : "Refresher courses; Specialist practical training; Shadow shifts; Sign offs from nurse", "specialRequirements" : "Manual driving license, Comfortable with dogs, Comfortable with animals", "outcomesObjectives" : "Help people live life to the fullest; Help people remain at home; Help people maintain independence; Help people enjoy things that matter; Help people live with dignity; Help people live with choice; Help people live with joy", "qualificationsBasic" : "12 months UK care experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Community Healthcare Assistant – Complex Care (Female) Location: Cheltenham, Gloucestershire Shifts: Days - 07:00-15:00, 07:00-20:00 & 14:00-23:00 Pay Rates (including holiday pay): Days: £18.56 per hour Nights: £20.83 per hour Weekends: £23.07 per hour At Thornbury Community Services, we believe everyone deserves the chance to live life to the fullest. We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. In the role, you will support an adult male in living an independent life, attending events in the community as well as supporting at home. You will need to have a manual driving license and be comfortable working in an environment with dogs and other animals. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? Contact us at: \uD83D\uDCE7 applications@thornburycommunityservices.co.uk \uD83D\uDCDE 0333 323 3762 #HCACH", "summaryDescription" : "Complex Care Healthcare Assistant at Thornbury Community Services. Skills: Complex care, Person-centered care. Support adult male. Attend community events", "postedDate" : "2026-06-14T19:18:49.286", "createdAt" : "2026-06-14T19:18:49.286", "lastUpdated" : "2026-06-16T00:52:45.991", "ingestTimestamp" : "2026-06-14T19:18:49.286", "mongoId" : "6a2ca40074d8ee00a09af54f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex care", "Person-centered care", "Personal care", "Manual handling", "Complex health needs" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 558.16656, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064f7f292fd229cfa428b", "title" : "Cross-Functional Project Planner", "company" : "QuantWare", "industry" : "Product Development", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Cross-Functional Project Planner in the Technology industry in Delft, Netherlands, adjusted for company size and specific industry." }, "location" : "Delft", "locations" : [ "Delft" ], "certifications" : [ "Project Management Professional (PMP)", "Certified ScrumMaster (CSM)" ], "timestamp" : "2026-06-16T11:47:12.286", "fingerprint" : "5eb3015d796bebc6b9f3a8ec476375e4702b7840201cb5e5ab7fa5dc42363a65", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/quantware/5fcf1ee5-de5f-4160-86ce-c3291b1de755/application", "externalId" : "5fcf1ee5-de5f-4160-86ce-c3291b1de755", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delft", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.9994572,4.3627245" } ], "locationText" : "Delft, Netherlands", "employmentType" : "FULL_TIME", "technicalSkills" : "Agile, Waterfall, Hybrid", "professionalSkills" : [ "Project planning", "Project scheduling", "Resource allocation", "Risk management", "Process improvement" ], "hardSkillsList" : [ "Schedule accuracy", "Forecast accuracy" ], "hardSkills" : [ { "name" : "Schedule accuracy", "level" : "intermediate" }, { "name" : "Forecast accuracy", "level" : "intermediate" } ], "majorSkills" : "Project planning, Cross-functional coordination, Scheduling, Tracking", "majorSkillsList" : [ "Project planning", "Cross-functional coordination", "Scheduling", "Tracking" ], "coreResponsibilities" : "Select, adapt, and implement planning methodologies, Optimize delivery based on scope, complexity, and constraints, Serve as central point of coordination for planning, Ensure seamless handoffs between teams, Ensure resource alignment between teams, Ensure consistent communication between teams, Develop accurate project schedules, Maintain accurate project schedules, Track accurate project schedules, Develop critical paths, Maintain critical paths, Track critical paths, Develop resource allocation plans, Maintain resource allocation plans, Track resource allocation plans, Provide regular updates on project status, Provide clear updates on progress against milestones, Provide concise updates on potential risks/slippage, Proactively identify scheduling dependencies, Proactively identify potential risks, Develop mitigation strategies for risks, Assess planning and scheduling processes, Recommend improvements to processes, Implement improvements to processes", "teamCollaboration" : "Cross-functional teams; Product teams; Operations teams; R&D teams", "projectManagementSkills" : [ "Agile", "Waterfall", "Hybrid", "Scrum", "Kanban", "PMP", "CSM" ], "domainKnowledge" : "Quantum computing; Hardware development; Technical contexts; Operational contexts", "domainList" : [ "quantum-computing", "hardware-development", "technical-contexts", "operational-contexts" ], "domainSpecificKnowledge" : [ "Quantum computing", "Hardware development", "Technical contexts", "Operational contexts" ], "toolProficiency" : [ "Jira", "BigPicture", "Microsoft Project", "Asana" ], "communicationSkills" : "Stakeholder communication; Regular updates; Clear updates; Concise updates", "continuousLearning" : "Personal growth; Learning and development budget", "problemSolvingSkills" : "Risk and dependency management; Develop mitigation strategies", "outcomesObjectives" : "Enhance efficiency; Enhance forecast accuracy", "qualificationsBasic" : "Bachelor's degree in Business Administration, Engineering, or related field, 3+ years of professional experience in project planning, scheduling, or project management in a cross-functional environment, Proven proficiency with Agile, Waterfall, and Hybrid project management methodologies, Demonstrated ability to create and manage complex schedules with high accuracy and attention to detail, Understanding of how to plan and manage projects within technical and operational contexts, Excellent communication, negotiation, and interpersonal skills, Ability to effectively collaborate with technical teams", "qualificationsPreferred" : "Experience in a hardware development environment, Experience operating within a rapidly scaling technology company", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT US QuantWare is building the world’s most powerful quantum processors to solve humanity's greatest challenges. We do this with our unique VIO™ technology, the only QPU architecture that breaks the hardware barriers that have held quantum computing back, unlocking the path to MegaQubit quantum processors. With VIO, we are paving the way for the hyper-scale quantum computers that will change the world. And delivering on that vision demands people who don’t shy away from tackling the hardest challenges of our time. That’s where you come in! As a Cross-Functional P Integration Engineer, you’ll play a crucial role in ensuring the accurate scheduling, tracking, and coordination of projects across diverse functional areas, including Product, Operations, and Research & Development (R&D). You must be adept at applying various project management methodologies, specifically Agile, Waterfall, and Hybrid approaches, to suit the unique needs of each discipline and project lifecycle. As such, attention to detail and a thorough understanding of project planning is key to your success in this role. We are seeking a detail-oriented and versatile Cross-Functional Project Planner to join our team. WHAT YOU'LL BE DOING - Methodology Expertise: Select, adapt, and implement appropriate planning methodologies (Agile, Waterfall, Hybrid) in coordination with project managers to optimize delivery based on the scope, complexity, and organizational constraints. - Cross-Functional Coordination: Serve as the central point of coordination for planning activities, ensuring seamless handoffs, resource alignment, and consistent communication between Product, Operations, and R&D teams. - Detailed Scheduling and Tracking: Develop, maintain, and meticulously track accurate project schedules, critical paths, and resource allocation plans. Must practice attention to detail to ensure schedule integrity and accuracy. - Stakeholder Communication: Provide regular, clear, and concise updates on project status, progress against milestones, and potential risks/slippage to stakeholders at all levels. - Risk and Dependency Management: Proactively identify scheduling dependencies and potential risks that could impact delivery timelines and collaborate with teams to develop mitigation strategies. - Process Improvement: Continuously assess planning and scheduling processes, recommending and implementing improvements to enhance efficiency and forecast accuracy across the organization. YOUR PROFILE - Bachelor’s degree in Business Administration, Engineering, or a related field. - 3+ years of professional experience in project planning, scheduling, or project management in a cross-functional environment, preferably in a hardware development environment. - Proven proficiency with Agile (e.g., Scrum, Kanban), Waterfall, and Hybrid project management methodologies. - Demonstrated ability to create and manage complex schedules with a high degree of accuracy and attention to detail. - Strong understanding of how to plan and manage projects within technical (R&D/Product) and operational contexts. - Excellent communication, negotiation, and interpersonal skills, with the ability to effectively collaborate with technical teams. - Experience with planning tools such as Jira, BigPicture, Microsoft Project, Asana, or equivalent scheduling software. - Experience operating within a rapidly scaling technology company. - Project Management Professional (PMP), Certified ScrumMaster (CSM), or equivalent certification. Don't tick every box? Apply anyway. We know great candidates don't always follow a straight path, and we value diverse experience, perspectives, and ways of thinking. If this role excites you and you believe you can make an impact, we'd love to hear from you! WHAT WE OFFER: At QuantWare, you’ll be part of a high-performing team of world-class experts in an ambitious, fast-moving environment. From day one, you’ll have the trust, tools, and support to do your best work. Here’s what you can expect: Competitive salary - A salary that reflects the impact and importance of the role (and of course 8% holiday allowance). Pension that’s built to last - A generous and future-proof pension plan that includes partner and dependent coverage. Flexibility built on trust - We focus on outcomes. Work flexibly, in a hybrid setup, with an open vacation policy that lets you manage your time. Personal growth - We invest in your L&D, with a budget available to each team member, dependent on their individual ambitions, development needs, and performance. A connected team - We make space to celebrate wins together, with team events, offsites, and spontaneous moments that bring us closer. DIVERSITY & INCLUSION AT QUANTWARE We’re an ambitious company, not only for our goals but also to become an even more diverse and inclusive team. We know this helps us with better decisions, more innovation, and strengthens our culture. In particular, we’d love to see more women in the quantum industry! So if you’re a female talent, excited about this opportunity but don’t meet every single requirement, we still encourage you to apply. As part of our recruitment process, candidates may be required to undergo pre-employment screening.", "summaryDescription" : "Cross-Functional Project Planner at QuantWare. Skills: Project planning, Cross-functional coordination, Scheduling, Tracking. Select, adapt, and implement planning methodologies. 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S. ) Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T04:05:26.424", "fingerprint" : "e51990ce93a45e468e17fa20c325f0c532db24d4f31d371a40cae66f247a2156", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134691/apply", "externalId" : "6544ba05-6942-440e-ba7f-57ac0fbe48fa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, XLA, Neuron compiler, Neuron runtime, TensorFlow, PyTorch, JAX", "professionalSkills" : [ "ML knowledge", "Software development" ], "hardSkillsList" : [ "Distributed training", "Performance tuning", "Model enablement" ], "hardSkills" : [ { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Model enablement", "level" : "intermediate" } ], "majorSkills" : "AI/ML, AWS Neuron, Distributed training", "majorSkillsList" : [ "AI/ML", "AWS Neuron", "Distributed training" ], "coreResponsibilities" : "Develop ML model families, Enable ML model families, Tune ML model families, Build distributed training support, Tune models for performance, Maximize model efficiency", "teamCollaboration" : "Chip architects; Compiler engineers; Runtime engineers", "domainKnowledge" : "Machine learning accelerators; Large language models; Distributed training solutions; Cloud-scale machine learning", "domainList" : [ "machine-learning-accelerators", "large-language-models", "distributed-training-solutions", "cloud-scale-machine-learning" ], "domainSpecificKnowledge" : [ "Machine learning accelerators", "Large language models", "Distributed training solutions", "Cloud-scale machine learning" ], "toolProficiency" : [ "FSDP", "Deepspeed" ], "qualificationsBasic" : "3+ years full software development life cycle, 3+ years non-internship professional software development, 2+ years non-internship design or architecture, Experience programming at least one language, Experience training large models using Python", "qualificationsPreferred" : "Bachelor's degree in computer science, 2+ years ML system design, Experience with modern ML frameworks, Programming in Python or similar languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama4, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trainium. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium . Strong software development and ML knowledge are both critical to this role. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Basic Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - Bachelor's degree in computer science or equivalent - 2+ years of experience with ML system design, including model architecture, and scalable training and inference systems - Experience with modern ML frameworks (TensorFlow, PyTorch, JAX, or similar) and programming in Python or similar languages Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Engineer- AI/ML, AWS Neuron at Annapurna Labs (U. S. ) Inc.. Skills: AI/ML, AWS Neuron, Distributed training. Develop ML model families. Enable ML model families", "postedDate" : "2026-06-13T02:41:18.273", "createdAt" : "2026-06-13T02:41:18.273", "lastUpdated" : "2026-06-15T04:05:26.424", "ingestTimestamp" : "2026-06-13T02:41:18.273", "mongoId" : "693072a070f0b99d58ffb505", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134691/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed training", "Performance tuning", "Model enablement", "AI/ML", "AWS Neuron", "ML knowledge", "Software development", "Machine learning accelerators", "Large language models", "Distributed training solutions", "Cloud-scale machine learning", "FSDP", "Deepspeed" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 550.33936, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706987fc9a711f0f6fdce", "title" : "Software Development Manager, AWS Neuron Frameworks", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T01:09:23.778", "fingerprint" : "0f9c54b956519264cf309b7c91b9d46c9347ee0466c39c528c1423b20d8096df", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053197/apply", "externalId" : "b2def059-3fbd-4a16-95e3-d3861955be00", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Machine learning, Cloud computing, Open-source software, JAX, OpenXLA, PyTorch, XLA", "professionalSkills" : [ "Systems development", "Project management", "Resource management", "Team management" ], "hardSkillsList" : [ "Framework development", "Compiler development", "Runtime development", "Kernel development" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Framework development", "level" : "intermediate" }, { "name" : "Compiler development", "level" : "intermediate" }, { "name" : "Runtime development", "level" : "intermediate" }, { "name" : "Kernel development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning accelerators, ML frameworks, Open-source collaboration", "majorSkillsList" : [ "Machine learning accelerators", "ML frameworks", "Open-source collaboration" ], "coreResponsibilities" : "Lead framework team, Drive development of framework components, Maintain framework components, Drive cross-functional collaboration, Review designs, Implement features, Build strategic relationships, Nurture strategic relationships, Align framework development roadmaps, Manage day-to-day activities, Manage resources, Manage staffing, Mentor engineering team, Maintain engineering team", "teamCollaboration" : "Cross-functional collaboration; Compiler teams; Runtime teams; Kernel development teams; Open-source communities", "projectManagementSkills" : [ "Project plans", "Delivery commitments" ], "domainKnowledge" : "Machine learning accelerators; ML frameworks; Acceleration software", "domainList" : [ "machine-learning-accelerators", "ml-frameworks", "acceleration-software" ], "domainSpecificKnowledge" : [ "Machine learning accelerators", "ML frameworks", "Acceleration software" ], "communicationSkills" : "Collect requirements; Describe software features; Describe technical designs; Describe product strategy", "qualificationsBasic" : "3+ years engineering team management, 7+ years working in engineering teams, 3+ years designing systems, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting software engineers, Experience mentoring software engineers, Experience managing software engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're seeking a Software Development Manager to lead our Frameworks team within AWS Neuron, the software stack powering AWS Inferentia and Trainium machine learning accelerators. This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you will lead and mentor a high-performing team of software engineers while driving the development and maintenance of critical Neuron framework components. You'll drive cross-functional collaboration with compiler, runtime, and kernel development teams to ensure seamless integration of Neuron with major machine learning frameworks. You will also contribute technically by reviewing designs and implementing features. A crucial aspect of your role will be building and nurturing strategic relationships with open-source communities, particularly with JAX, OpenXLA, and PyTorch/XLA. You'll work closely with these communities to align framework development roadmaps with Neuron's strategic objectives, ensuring our customers have access to the latest ML framework innovations. In this role, you'll be instrumental in shaping how developers interact with AWS's machine learning accelerators, ensuring our customers can easily adopt and benefit from the latest advancements in ML frameworks. The position offers an opportunity to work at the intersection of cloud computing, machine learning, and open-source software, while leading a team that directly influences the future of ML acceleration at AWS. The ideal candidate will bring proven experience managing software development teams and a strong background in machine learning frameworks and acceleration software. You should have a demonstrable track record of successful open-source collaboration and contributions, along with experience working with ML frameworks such as PyTorch or JAX. Excellence in cross-functional team leadership and communication is essential. Key job responsibilities * Responsible for the overall systems development life cycle * Management and execution against project plans and delivery commitments * Manage the day-to-day activities of the engineering team * Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team * Report on status of development, quality, operations, and system performance to management Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Manager, AWS Neuron Frameworks at Annapurna Labs (U. S. ) Inc.. Skills: Machine learning accelerators, ML frameworks, Open-source collaboration. Lead framework team. Drive development of framework components", "postedDate" : "2026-06-13T05:27:31.416", "createdAt" : "2026-06-13T05:27:31.416", "lastUpdated" : "2026-06-15T01:09:23.778", "ingestTimestamp" : "2026-06-13T05:27:31.416", "mongoId" : "68b706987fc9a711f0f6fdce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053197/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Framework development", "Compiler development", "Runtime development", "Kernel development", "Leadership", "Mentoring", "Machine learning accelerators", "ML frameworks", "Open-source collaboration", "Systems development", "Project management", "Resource management", "Team management", "Project plans", "Delivery commitments", "Acceleration software" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 548.62506, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30753bf292fd229c00d531", "title" : "Software Development Manager, AWS Neuron SDK - Distributed Training", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 212700.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-16T12:46:36.391", "fingerprint" : "0fe2e43c1240aedf87651ab5a51723af77b9cdf2537fccdf940eeea2a04de4b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449428/apply", "externalId" : "12f72c4e-be25-420d-a295-04df651f2cd0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities * Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform. * Own the customer onboarding journey from model evaluation through production training at scale * Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools. * Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models. * Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads. * Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies). * Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium. * Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams. * Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Basic Qualifications: - Experience working with PyTorch or JAX software - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - 3+ years of experience in deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) Preferred Qualifications: - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience directly managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with performance analysis, profiling, and optimization for deep learning training workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually", "summaryDescription" : "Software Development Manager, AWS Neuron SDK - Distributed Training at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:05.202", "lastUpdated" : "2026-06-16T12:46:36.391", "ingestTimestamp" : "2026-06-16T01:54:05.202", "mongoId" : "6a30753bf292fd229c00d531", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449428/apply", "salaryAnnualMin" : 212700, "salaryAnnualMax" : 287700, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 545.3025, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca40074d8ee00a09af553", "title" : "Community Healthcare Assistant – Complex Care", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 23.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "timestamp" : "2026-06-16T01:29:48.268", "fingerprint" : "609ab49bf1fdd54be7a4c3505ae2b476c9a5c267b5627d36892c98cebaf971cb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/7767038003", "externalId" : "7767038003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gloucester", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8653705,-2.2458192" } ], "locationText" : "Gloucester, United Kingdom", "experienceMinYears" : 12, "professionalSkills" : [ "Clinical care", "Personal care", "Manual handling" ], "majorSkills" : "Complex care, Patient management", "majorSkillsList" : [ "Complex care", "Patient management" ], "coreResponsibilities" : "Manage clinical needs, Manage social needs, Build trust with individuals, Build trust with families, Create safe environments, Empower people to take trips, Empower people to reconnect with hobbies, Empower people to thrive", "domainKnowledge" : "Complex health needs", "domainList" : [ "complex-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs" ], "documentationSkills" : "Clinical documentation", "continuousLearning" : "Refresher courses; Specialist practical training; Shadow shifts; Clinical sign-off", "specialRequirements" : "Work in an environment with cats & dogs", "outcomesObjectives" : "Help people remain at home; Help people maintain independence; Help people enjoy life", "qualificationsBasic" : "12 months UK care experience", "qualificationsPreferred" : "Experience with children, Comfortable with cats and dogs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Community Healthcare Assistant – Complex Care Location: Gloucester Shifts: Monday-Sunday: 08:00-20:00 & 20:00-08:00 (24/7) Pay Rates (including holiday pay): Days: £18.56 per hour Nights: £20.83 per hour Weekends: £23.07 per hour At Thornbury Community Services, we believe everyone deserves the chance to live life to the fullest. We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. We would provide training & shadow shifts with a full clinical sign-off to support this client. You will work 1:1 managing all clinical and social needs for this young female. You should be committed and experienced with children & comfortable working in an environment with cats & dogs. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? Contact us at: \uD83D\uDCE7 applications@thornburycommunityservices.co.uk \uD83D\uDCDE 0333 323 3762 #HCAGLST", "summaryDescription" : "Community Healthcare Assistant – Complex Care at Thornbury Community Services. Skills: Complex care, Patient management. Manage clinical needs. Manage social needs", "postedDate" : "2026-06-14T20:07:20.436", "createdAt" : "2026-06-14T20:07:20.436", "lastUpdated" : "2026-06-16T01:29:48.268", "ingestTimestamp" : "2026-06-14T20:07:20.436", "mongoId" : "6a2ca40074d8ee00a09af553", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex care", "Patient management", "Clinical care", "Personal care", "Manual handling", "Complex health needs" ], "skillCount" : 6, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 544.469, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9e6974d8ee00a099de16", "title" : "Functional Tester", "company" : "Mind Computing", "industry" : "Government", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Functional Tester in Bulgaria, adjusted for remote work and the government industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T06:04:55.663", "fingerprint" : "692043f83feb96ff7ad054bfd7d41989a864928caa4f3d813fe07b2f0732f267", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://mind-computing.breezy.hr/p/5e1d38a9b386-functional-tester-remote-opportunity", "externalId" : "5e1d38a9b386", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Execute test plans, Validate application functionality", "domainKnowledge" : "Department of Veterans Affairs", "domainList" : [ "department-of-veterans-affairs" ], "domainSpecificKnowledge" : [ "Department of Veterans Affairs" ], "qualificationsBasic" : "Experience in software testing, Experience in quality assurance", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Mind Computing is seeking a full-time, 100% remote Functional Tester to support a Department of Veterans Affairs (VA) project. The ideal candidate will have experience in software testing and quality assurance, with responsibilities including executing test plans, validating application functionali", "summaryDescription" : "Functional Tester at Mind Computing. Execute test plans. 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About our young adult - I am a soon to be 18 year old teenage male and I like to listen to quiet voices and silly jokes. I love Man U, Horrid Henry and", "summaryDescription" : "Complex Care Healthcare Assistant at NurtureCare. Support children and young adults. Provide complex health support", "createdAt" : "2026-06-14T19:28:30.620", "lastUpdated" : "2026-06-16T02:02:56.733", "ingestTimestamp" : "2026-06-14T19:28:30.620", "mongoId" : "6a2cbd4874d8ee00a09fd9e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex health needs", "Additional health needs" ], "skillCount" : 2, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 541.09143, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cbd4874d8ee00a09fd9df", "title" : "Complex Care Healthcare Assistant", "company" : "NurtureCare", "industry" : "Healthcare", "salary" : { "min" : 21000.0, "max" : 26000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry level Complex Care Healthcare Assistant in Nottinghamshire, GB, considering the healthcare industry and part-time employment." }, "location" : "Nottinghamshire, GB", "locations" : [ "Nottinghamshire", "GB" ], "timestamp" : "2026-06-15T22:32:20.972", "fingerprint" : "5f7ba65b8c632133dc15d8f8f5fc99ceb1518abaf0db7722623895955e34b115", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nurturecare.breezy.hr/p/27d776cb12ae01-complex-care-healthcare-assistant-nottinghamshire-derbyshire", "externalId" : "27d776cb12ae01", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Nottinghamshire", "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Nottinghamshire, United Kingdom", "employmentType" : "PART_TIME", "coreResponsibilities" : "Support children and young adults, Provide complex health support, Provide additional health support, Work in home environment, Work day shifts, Work night shifts, Work waking nights", "domainKnowledge" : "Complex health needs; Additional health needs", "domainList" : [ "complex-health-needs", "additional-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs", "Additional health needs" ], "specialRequirements" : "Adult care, 24 hours availability", "qualificationsBasic" : "Full UK driving license", "workSiteFlexibility" : "Flexible", "rawDescription" : "NurtureCare is commissioned to support both children and young adults with complex health and additional health needs within the home environment. Fully Flexible Day and Night Shifts, Waking Nights. Current hours and locations available: - NG21 - Adult care - 24 hours - MUST hold a full UK driving", "summaryDescription" : "Complex Care Healthcare Assistant at NurtureCare. Support children and young adults. Provide complex health support", "createdAt" : "2026-06-14T18:37:29.798", "lastUpdated" : "2026-06-15T22:32:20.972", "ingestTimestamp" : "2026-06-14T18:37:29.798", "mongoId" : "6a2cbd4874d8ee00a09fd9df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex health needs", "Additional health needs" ], "skillCount" : 2, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 540.0108, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210ec074d8ee00a0af9681", "title" : "Staff Software Engineer, Telemetry and Networks", "industry" : "Technology", "salary" : { "min" : 215000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Software Engineer in Sunnyvale, adjusted for lead seniority and 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"ingestTimestamp" : "2026-06-16T01:49:08.842", "mongoId" : "6a210ec074d8ee00a0af9681", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "_score" : 537.2813, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cfb4774d8ee00a0aa2bb3", "title" : "Sr Complex Billing Analyst", "company" : "Chariot Energy", "industry" : "Retail", "salary" : { "min" : 80000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-15T12:14:42.333", "fingerprint" : "f108cd72f630c34a7a8246e8ec57a600b2a49dd6ca0ddc94a858bea33b32cb0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/chariotenergy/jobs/4284053009", "externalId" : "4284053009", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Billing systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Revenue assurance", "Process optimization", "Automation strategies", "Contract management", "Cash flow improvement", "Dispute resolution", "Compliance protocols", "Business relationships" ], "hardSkillsList" : [ "Statistical analysis", "Negotiation skills", "Conflict resolution skills" ], "softSkillsList" : [ "Analytical skills", "Stakeholder engagement", "Effective communication", "Agility" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Negotiation skills", "level" : "intermediate" }, { "name" : "Conflict resolution skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Stakeholder engagement" }, { "name" : "Effective communication" }, { "name" : "Agility" } ], "majorSkills" : "Complex billing, Retail energy market, ERCOT regulations", "majorSkillsList" : [ "Complex billing", "Retail energy market", "ERCOT regulations" ], "coreResponsibilities" : "Develop billing strategies, Implement billing strategies, Manage billing strategies, Monitor revenue performance, Analyze revenue performance, Identify trends, Identify areas for improvement, Utilize data and analytics, Analyze trends in data, Analyze patterns in data, Drive decision-making, Adjust strategy, Provide insights, Provide recommendations, Oversee billing process, Ensure accuracy, Ensure timeliness, Oversee client contracts, Account for contract elements, Develop strategies to improve cash flow, Reduce DSO, Review product structure, Investigate product structure, Recommend action on product structure, Ensure compliance with policies, Ensure compliance with procedures, Ensure compliance with regulations, Manage revenue performance, Maintain revenue performance, Report revenue performance, Action dispute resolution process, Mitigate customer disputes, Negotiate customer disputes, Ensure customer disputes resolution, Document root cause, Manage compliance protocols, Adhere to compliance protocols, Establish controls, Bridge identified gaps, Identify account issues, Resolve account issues, Display attention to detail, Adhere to Retail Market Guide, Understand regulation changes, Formulate solutions to comply, Establish business relationships, Maintain business relationships, Deliver on KPIs", "teamCollaboration" : "Cross-functional teams; Internal customers; Key stakeholders", "domainKnowledge" : "Retail energy market; Deregulated environments; ERCOT regulations; PJM; NYISO; NEPOOL; Public Utility Commissions", "domainList" : [ "retail-energy-market", "deregulated-environments", "ercot-regulations", "pjm", "nyiso", "nepool", "public-utility-commissions" ], "domainSpecificKnowledge" : [ "Retail energy market", "Deregulated environments", "ERCOT regulations", "PJM", "NYISO", "NEPOOL", "Public Utility Commissions" ], "toolProficiency" : [ "MS Office Suite" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Process optimization; Automation", "problemSolvingSkills" : "Problem-solving; Analytical skills; Data analysis", "outcomesObjectives" : "Ensure billing accuracy; Ensure billing efficiency; Achieve revenue assurance; Enhance billing operations effectiveness; Achieve financial health; Improve customer satisfaction", "qualificationsBasic" : "Bachelor's degree or 2 years supervisor experience, 5 years operations experience, Experience in deregulated energy market, Familiarity with complex billing structure, Proficiency in financial software, Proficiency in MS Office Suite, Ability to work under pressure, Ability to meet deadlines, Eligible to work in USA", "qualificationsPreferred" : "Expert-level knowledge of ERCOT regulations, Advanced billing systems knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "COMPANY OVERVIEW Chariot Energy, is an affiliate company of Hanwha Energy USA and ultimately Hanwha Group, a FORTUNE Global 500 firm that is among the eight largest business enterprises in South Korea. Hanwha Energy USA designs, builds and manages solar power plant solutions. The company brings a decade of global leadership in solar PV to North America, combining best-of-world technology, processes, and partnerships to deliver utility-grade solar PV solutions customized for local energy markets. Hanwha Energy USA offers the full spectrum of PV solutions – from power plant development, design, construction, operations, and maintenance. With proven capabilities across the solar value chain, Hanwha Energy USA minimizes uncertainty and risk, and helps customers achieve a higher return on their investment in solar energy. Hanwha Energy USA has recently embarked to enter the energy retail market in deregulated markets throughout North America. Chariot Energy is a retail energy provider based in Houston, Texas. We offer electricity to homes and businesses, and it is our goal to provide products and services our customers love and an unmatched experience that is missing in today’s retail energy market. Hanwha Energy USA has set out to have Chariot Energy become one of the leading energy retail providers (by RCE count) within 5-years of Chariot Energy’s launch. POSITION OVERVIEW We are seeking a highly skilled and proactive Senior Complex Billing Analyst to join our innovative and fast-paced organization. As a key leader within the billing operations team, the Senior Complex Billing Analyst will play a pivotal role in ensuring the accuracy and efficiency of our complex billing processes related to Large Commercial and Industrial accounts, which are integral to the company’s revenue assurance and operational success. This position requires an individual with a deep understanding of the retail energy market, especially within deregulated environments, and an expert-level knowledge of ERCOT regulations and advanced billing systems. In this role, you will be responsible for managing all aspects of billing, from developing and executing strategies that drive billing accuracy and compliance, to identifying opportunities for process optimization and automation. You will work closely with cross-functional teams to resolve billing issues, ensure compliance with industry regulations, and lead initiatives that enhance the overall effectiveness of the billing operations. The ideal candidate will not only bring extensive experience in managing complex billing structures but will also have a forward-thinking mindset, capable of anticipating challenges and proactively designing solutions. With a strong focus on process improvements, you will be empowered to make strategic decisions that directly impact on our financial health and customer satisfaction. Your ability to problem solve, innovate, and drive efficiency will be crucial in ensuring the success of our billing operations and contributing to the organization’s broader financial and operational goals. This position is based in Houston, and the ideal candidate will be within commutable distance to the Houston office location. The position will be located outside the Chariot Energy Houston office. RESPONSIBILITIES Develop, implement and manage effective billing strategies, policies and procedures for residential, commercial and industrial accounts. Monitor and analyze revenue performance metrics, identifying trends and areas for improvement. Utilize data and analytics to analyze trends and patterns in data, driving decision-making and strategy adjustments, and providing insights and recommendations to senior management. Oversee the end-to-end billing process to ensure accuracy and timeliness. Oversee all aspects of client contracts assigned ensuring all elements are properly accounted for in CE systems during setup and invoicing/billing processes Develop and implement strategies to improve cash flow and reduce DSO (Days Sales Outstanding). Review, investigate, and recommend action on product structure and market insights Ensure compliance with company policies and procedures, as well as legal and regulatory requirements. Manage, maintain, and report on revenue performance to management. Action the dispute resolution process from end to end, by proactively mitigating customer disputes, negotiating and ensuring customer disputes to resolution and document root cause. Manage and adhere to compliance protocols as outlined by the Public Utility Commissions and other government entities. Establish controls to bridge identified gaps between other business stakeholders. Proactively identify and resolve existing and potential future account issues in a timely and accurate fashion by displaying an acute attention to detail. Adhere to Retail Market Guide protocols as set forth by ERCOT, PJM, NYISO and NEPOOL. Take the lead when changes and proposed regulations occur to understand potential gaps to current processes and formulate solutions to comply. Establish and maintain positive business relationships with internal customers and key stakeholders in the revenue process. Achieve excellence by delivering on key performance indicators (KPI’s). REQUIRED COMPETENCIES Analytical- Proven problem-solving capability with strong analytical skills including statistical analysis, Stakeholder Engagement– Understands the importance of seeking out relationships and working with others toward a shared goal. Effective Communication- Strong verbal and written communication skills. Agility- Demonstrate willingness to modify position as needed to meet the needs of the business. REQUIRED QUALIFICATIONS Bachelor’s degree in business or related areas from an accredited four-year university OR minimum two years previous supervisor experience in Complex Billing Operations can substitute for a degree. Minimum of 5 years’ operations experience in back-office operations (i.e., customer set up, Complex billing, contract management, customer relations). Experience in the deregulated energy market, primarily ERCOT, PJM, NYISO and NEPOOL. Familiarity with complex billing structure. Strong analytical and problem-solving abilities to identify trends, analyze data, and make informed decisions. Proven negotiation and conflict resolution skills. Proven experience managing revenue generation for customers in the commercial/industrial/retail energy markets. Strong analytical and problem-solving abilities. Strong communication and interpersonal skills. Proficiency in financial software and MS Office Suite. Ability to work effectively under pressure and meet deadlines. Eligible to work in the USA for any employer without sponsorship. COMPENSATION: $80,000 - $110,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Chariot Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. www.mychariotenergy.com", "summaryDescription" : "Sr Complex Billing Analyst at Chariot Energy. Skills: Complex billing, Retail energy market, ERCOT regulations. Develop billing strategies. Implement billing strategies", "postedDate" : "2026-06-14T05:38:13.664", "createdAt" : "2026-06-14T05:38:13.664", "lastUpdated" : "2026-06-15T12:14:42.333", "ingestTimestamp" : "2026-06-14T05:38:13.664", "mongoId" : "6a2cfb4774d8ee00a0aa2bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Negotiation skills", "Conflict resolution skills", "Analytical skills", "Stakeholder engagement", "Effective communication", "Agility", "Complex billing", "Retail energy market", "ERCOT regulations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Revenue assurance", "Process optimization", "Automation strategies", "Contract management", "Cash flow improvement", "Dispute resolution", "Compliance protocols", "Business relationships", "Deregulated environments", "PJM", "NYISO", "NEPOOL", "Public Utility Commissions", "MS Office Suite" ], "skillCount" : 31, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 535.5637, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8970f0b99d5843fc37", "title" : "Applied Scientist, AWS Neuron Science Team", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Santa Clara, California, USA", "locations" : [ "Santa Clara, California, USA" ], "timestamp" : "2026-06-15T01:35:04.801", "fingerprint" : "01597eea635b3b7706ec1d6e6e429d2fea59d7315e5b2d7af64d2ea3ace608de", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139216/apply", "externalId" : "b2225aa3-ba07-4027-92f8-bfa84027f95b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Clara", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.2333253,-121.6846349" } ], "locationText" : "Santa Clara, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "ML, RL, ML Compiler, Java, C++, Python, Unix/Linux, MxNet, Tensor Flow, Generative AI", "professionalSkills" : [ "System solutions", "Deep learning", "ML workloads", "Kernel development", "ML accelerator", "Utility computing", "Product innovations", "Compute services", "Database services", "Storage services", "Platform services", "Productivity apps", "Cloud computing" ], "hardSkillsList" : [ "Kernel generation", "Code generation", "Compiler techniques", "Accuracy validation", "Reliability validation", "High-performance kernels", "ML inference performance", "ML training performance", "ML compiler", "ML frameworks" ], "hardSkills" : [ { "name" : "Kernel generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Compiler techniques", "level" : "intermediate" }, { "name" : "Accuracy validation", "level" : "intermediate" }, { "name" : "Reliability validation", "level" : "intermediate" }, { "name" : "High-performance kernels", "level" : "intermediate" }, { "name" : "ML inference performance", "level" : "intermediate" }, { "name" : "ML training performance", "level" : "intermediate" }, { "name" : "ML compiler", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Compiler techniques, Kernel development, ML accelerators", "majorSkillsList" : [ "Machine Learning", "Compiler techniques", "Kernel development", "ML accelerators" ], "coreResponsibilities" : "Enhance software stack, Accelerate customer adoption, Work with customers, Identify adoption barriers, Identify optimization opportunities, Collaborate with engineering teams, Implement innovative solutions, Engage with research communities, Advance state-of-the-art ML systems, Develop ML/RL approaches, Apply ML/RL approaches, Create compiler techniques, Build tools for validation, Design high-performance kernels, Optimize kernels, Support service development, Manage service development, Support service management, Provide specialized security solutions", "teamCollaboration" : "External customers; Internal customers; Engineering teams; Academic communities; Research communities; Distinguished engineers; Scientists; Cross-functional teams", "domainKnowledge" : "ML accelerator architectures; ML systems; ML workloads; Deep learning models; Cloud computing; Generative AI services", "domainList" : [ "ml-accelerator-architectures", "ml-systems", "ml-workloads", "deep-learning-models", "cloud-computing", "generative-ai-services" ], "domainSpecificKnowledge" : [ "ML accelerator architectures", "ML systems", "ML workloads", "Deep learning models", "Cloud computing", "Generative AI services" ], "innovationCreativity" : "Innovative solutions; New system solutions; Prototype development", "problemSolvingSkills" : "Optimization opportunities; Accuracy validation; Reliability validation", "qualificationsBasic" : "PhD in computer science, PhD in computer engineering, PhD in related field, Experience in patents, Experience in publications, Experience in algorithms, Experience in data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience programming in related language, Experience using Unix/Linux", "qualificationsPreferred" : "Investigating system solutions, Designing system solutions, Prototyping system solutions, Delivering system solutions, State-of-the-art deep learning models architecture design, Deep learning training, Deep learning optimization, Model pruning, Experience with MxNet, Experience with Tensor Flow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - PhD in computer science, computer engineering, or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux Preferred Qualifications: - Experience in investigating, designing, prototyping, and delivering new and innovative system solutions - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, AWS Neuron Science Team at Annapurna Labs (U. S. ) Inc.. Skills: Machine Learning, Compiler techniques, Kernel development, ML accelerators. Enhance software stack. Accelerate customer adoption", "postedDate" : "2026-06-13T02:03:05.179", "createdAt" : "2026-06-13T02:03:05.179", "lastUpdated" : "2026-06-15T01:35:04.801", "ingestTimestamp" : "2026-06-13T02:03:05.179", "mongoId" : "693c2b8970f0b99d5843fc37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139216/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Kernel generation", "Code generation", "Compiler techniques", "Accuracy validation", "Reliability validation", "High-performance kernels", "ML inference performance", "ML training performance", "ML compiler", "ML frameworks", "Machine Learning", "Kernel development", "ML accelerators", "System solutions", "Deep learning", "ML workloads", "ML accelerator", "Utility computing", "Product innovations", "Compute services", "Database services", "Storage services", "Platform services", "Productivity apps", "Cloud computing", "ML accelerator architectures", "ML systems", "Deep learning models", "Generative AI services" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 534.0542, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c91e974d8ee00a098452b", "title" : "Senior Counsel (Complex Trial)", "company" : "Tyson & Mendes LLP", "industry" : "Legal", "salary" : { "min" : 160000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "certifications" : [ "Active license to practice law in California" ], "timestamp" : "2026-06-15T11:41:07.066", "fingerprint" : "4d9437a3ae3342980067a71fb3a5a21b4a2d2667460e6bbf9d25b8028cdd045c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tysonmendesllp/jobs/5253960008", "externalId" : "5253960008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk assessment", "Case strategy", "Client advisement", "Legal advice", "Case assessments", "Litigation management", "Settlement negotiations", "Team leadership", "Mentorship" ], "hardSkillsList" : [ "Insurance defense litigation", "Complex trial work", "High-stakes cases", "Discovery", "Motion practice", "Trial preparation", "Pleadings", "Depositions", "Pre-trial motions" ], "softSkillsList" : [ "Gravitas", "Confidence", "Clarity", "Tactician", "Ethics", "Advocacy" ], "hardSkills" : [ { "name" : "Insurance defense litigation", "level" : "intermediate" }, { "name" : "Complex trial work", "level" : "intermediate" }, { "name" : "High-stakes cases", "level" : "intermediate" }, { "name" : "Discovery", "level" : "intermediate" }, { "name" : "Motion practice", "level" : "intermediate" }, { "name" : "Trial preparation", "level" : "intermediate" }, { "name" : "Pleadings", "level" : "intermediate" }, { "name" : "Depositions", "level" : "intermediate" }, { "name" : "Pre-trial motions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Gravitas" }, { "name" : "Confidence" }, { "name" : "Clarity" }, { "name" : "Tactician" }, { "name" : "Ethics" }, { "name" : "Advocacy" } ], "majorSkills" : "Complex trial litigation, Insurance defense, Trial advocacy, Case strategy", "majorSkillsList" : [ "Complex trial litigation", "Insurance defense", "Trial advocacy", "Case strategy" ], "coreResponsibilities" : "Represent clients in high-exposure cases, Represent clients in complex insurance defense cases, Develop case strategies, Execute case strategies, Conduct risk assessment, Manage discovery, Manage motion practice, Manage trial preparation, Provide clear legal advice, Provide case assessments, Provide updates on case developments, Oversee all stages of litigation, Oversee pleadings, Oversee discovery, Oversee depositions, Oversee pre-trial motions, Oversee settlement negotiations, Serve as lead counsel in jury trials, Serve as lead counsel in bench trials, Serve as lead counsel in mediations, Present cases effectively, Present cases persuasively, Supervise junior attorneys, Mentor junior attorneys, Supervise paralegals, Mentor paralegals, Supervise support staff, Mentor support staff, Ensure high-quality work, Ensure compliance with best practices, Collaborate with expert witnesses, Strengthen case arguments", "teamCollaboration" : "Complex Trial Teams; Junior attorneys; Paralegals; Support staff; Expert witnesses", "projectManagementSkills" : [ "Case management" ], "domainKnowledge" : "Insurance defense; Catastrophic injury; Wrongful death; Property damage; Professional liability; Civil litigation; Civil defense", "domainList" : [ "insurance-defense", "catastrophic-injury", "wrongful-death", "property-damage", "professional-liability", "civil-litigation", "civil-defense" ], "domainSpecificKnowledge" : [ "Insurance defense", "Catastrophic injury", "Wrongful death", "Property damage", "Professional liability", "Civil litigation", "Civil defense" ], "toolProficiency" : [ "E-discovery tools", "Case management software" ], "communicationSkills" : "Client communication; Oral advocacy; Legal writing; Negotiation", "continuousLearning" : "Trial Academy; In-house training; Leadership development; Firm Provided CLE Programs; Paid Bar License Renewal Fees", "problemSolvingSkills" : "Strategic acumen; Tactician", "outcomesObjectives" : "Stop Nuclear Verdicts®; Deliver results-driven approach", "qualificationsBasic" : "Juris Doctor (JD), Active license to practice law in California, Eligibility to practice in federal courts, 8+ years of experience in insurance defense litigation, Focus on complex trial work, Demonstrated success as lead trial counsel in multiple high-stakes cases, Knowledge of civil procedure, Knowledge of tort law, Knowledge of insurance law, Knowledge of trial strategies, Manage and prioritize a large, demanding caseload, Exceptional oral advocacy skills, Exceptional legal writing skills, Exceptional negotiation skills, Client relationship management skills, Ability to communicate complex legal strategies effectively", "qualificationsPreferred" : "Background in catastrophic injury, Background in construction defect, Background in professional liability cases, Experience with e-discovery tools, Experience with case management software, Membership in local trial lawyer associations, Membership in national trial lawyer associations", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Tyson & Mendes – Senior Counsel, Complex Trial Teams Where Insurance Defense Meets Innovation Please note: An active bar license in the State of California is required. At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability. Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation. Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments. Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations. Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively. Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices. Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments. Requirements Juris Doctor (JD) from an accredited law school. Active license to practice law in California and eligibility to practice in federal courts. 8+ years of experience in insurance defense litigation with a strong focus on complex trial work. Demonstrated success as lead trial counsel in multiple high-stakes cases. Strong knowledge of civil procedure, tort law, insurance law, and trial strategies. Proven ability to manage and prioritize a large, demanding caseload with limited oversight. Exceptional oral advocacy, legal writing, and negotiation skills. Strong client relationship management skills with an ability to communicate complex legal strategies effectively. Background in catastrophic injury, construction defect, or professional liability cases preferred. Experience with e-discovery tools and case management software. Membership in local or national trial lawyer associations is a plus. Compensation Package The base salary for this position ranges from $160,000-$190,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Employees receive a monthly technology reimbursement of $60 Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues Flexible Work Model: Remote, hybrid, or onsite options available About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-remote Pay Range $160,000—$190,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial litigation, Insurance defense, Trial advocacy, Case strategy. Represent clients in high-exposure cases. 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Interdisciplinary discussions", "domainKnowledge" : "Optical communication; Satellite systems; Inter-satellite links; High-frequency electronics; Opto-electronics", "domainList" : [ "optical-communication", "satellite-systems", "inter-satellite-links", "high-frequency-electronics", "opto-electronics" ], "domainSpecificKnowledge" : [ "Optical communication", "Satellite systems", "Inter-satellite links", "High-frequency electronics", "Opto-electronics" ], "toolProficiency" : [ "Oscilloscopes", "Network analyzers", "Spectrum analyzers" ], "communicationSkills" : "Documentation; Communication", "documentationSkills" : "Documenting", "innovationCreativity" : "Innovation; Push the state of the art", "problemSolvingSkills" : "Troubleshooting; Data analysis", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as a refugee, Granted asylum", "qualificationsBasic" : "Bachelor's Degree in Physics, Electronics, Communication Engineering, or related field, or equivalent experience, 3+ years of experience in hardware systems development across full product life cycles, Experience in high-speed characterization of devices, Experience with electrical probe stations, Experience with operation of high speed and high frequency test equipment, Experience with lasers, detectors, modulators, modems, optical fiber and devices, Experience in developing software test scripts for test automation, data acquisition and data analysis", "qualificationsPreferred" : "1+ years of automation scripting using Python, Bash, Shell and/or Perl experience, Master or PhD Degree in Physics, Electronics, Optical Engineering or Communication Engineering, In-depth knowledge of development of high-frequency electronics, Efficiency in documenting and communication, Ability to lead interdisciplinary discussions, Ability to provide thought leadership, Knowledge of opto-electronics industry and component suppliers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Come work at Amazon! Innovation is part of our DNA! Our goal is to be Earth’s most customer centric company, and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in distributed systems and hardware design. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities You will be responsible for the development of hardware and systems for optical (laser) communications between satellites. • You will be involved in design, prototyping, and characterization of hardware to support high speed inter-satellite communication links (ISLs). • You will work with vendors to qualify commercial, off-the-shelf components while driving development of custom components where needed to achieve low-cost, light-weight, and reliable systems that meet the performance requirements in space. • You will lead the effort to support design verification and qualification testing. • You will be working with stakeholders to trouble shooting resolve issues and deliver ISL links. • You will be analyzing large volume data to identify gaps/risks and improve the design. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people. Basic Qualifications: - Bachelor’s Degree in Physics, Electronics, Communication Engineering, or related field, or equivalent experience - 3+ years of experience in hardware systems development across full product life cycles - concept to production - Experience in high-speed characterization of devices, electrical probe stations, operation of high speed and high frequency test equipment, such as oscillate scopes, network analyzers, spectrum analyzers, and high-speed oscilloscopes - Experience with lasers, detectors, modulators, modems, optical fiber and devices - Experience in developing software test scripts for test automation, data acquisition and data analysis. Preferred Qualifications: - 1+ years of automation scripting using Python, Bash, Shell and/or Perl experience - Master or PhD Degree in Physics, Electronics, Optical Engineering or Communication Engineering - In-depth knowledge of development of high-frequency electronics. - Efficiency in documenting and communication. - Ability to lead interdisciplinary discussions between Hardware, Reliability, and Software teams to define and drive scope and clarity of work, and reach optimum system level trade-offs - Ability to provide thought leadership and key input on new initiatives as well as on programs underway - Knowledge of opto-electronics industry and component suppliers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Optical Network Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Optical communication, Hardware development, System design. Develop hardware and systems for optical communications. 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We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. In the role, you will support an adult male in living an independent life, attending events in the community as well as supporting at home. You will need to have a manual driving license and be comfortable working in an environment with dogs and other animals. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? 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Support individual at events", "postedDate" : "2026-06-14T20:10:26.889", "createdAt" : "2026-06-14T20:10:26.889", "lastUpdated" : "2026-06-16T06:07:52.734", "ingestTimestamp" : "2026-06-14T20:10:26.889", "mongoId" : "6a2ca40074d8ee00a09af550", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Person-centered care", "Complex care", "Manual handling", "Complex health needs", "Shadow shifts sign offs" ], "skillCount" : 5, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 530.0942, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69f894fe4c40e2acd1fa43c9", "title" : "Complex Property Claims Specialist", "company" : "The Cincinnati Insurance Companies", "industry" : "Insurance", "salary" : { "min" : 90000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Claims - Complex Property Claims Specialist I", "locations" : [ "Claims - Complex Property Claims Specialist I", "164406", "false, 164406, false" ], "timestamp" : "2026-06-15T07:22:56.192", "fingerprint" : "e999fad1b51e5b2494190786446dfa8863f560e7324464f21ad4b54c85e8c191", "source" : "taleo", "language" : "en", "applyUrl" : "https://cinfin.taleo.net/careersection/ex/jobdetail.ftl?job=164406", "externalId" : "164406", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Xactimate", "professionalSkills" : [ "Claims handling", "Coverage analysis", "Estimate evaluation" ], "hardSkillsList" : [ "Property claims", "Business income", "Extra expense" ], "hardSkills" : [ { "name" : "Property claims", "level" : "intermediate" }, { "name" : "Business income", "level" : "intermediate" }, { "name" : "Extra expense", "level" : "intermediate" } ], "majorSkills" : "Complex property claims, Claims investigation, Coverage analysis", "majorSkillsList" : [ "Complex property claims", "Claims investigation", "Coverage analysis" ], "coreResponsibilities" : "Investigate large complex property claims, Adjust large complex property claims, Analyze property coverage forms, Resolve questions of coverage, Resolve questions of value, Prepare estimates, Evaluate estimates, Assist in catastrophe situations, Engage in proactive claims handling, Provide superior claims service, Recommend timely reserves, Recommend adequate reserves, Prepare detailed narrative factual reports, Prepare statements of loss, Assist in education of Field Claims", "teamCollaboration" : "Collaborate within a diverse team", "domainKnowledge" : "Property claims handling; Business income; Extra expense", "domainList" : [ "property-claims-handling", "business-income", "extra-expense" ], "domainSpecificKnowledge" : [ "Property claims handling", "Business income", "Extra expense" ], "toolProficiency" : [ "Xactimate" ], "communicationSkills" : "Factual reports; Statements of loss", "documentationSkills" : "Factual reports; Statements of loss", "continuousLearning" : "Lifelong learning approach; Tools and training", "problemSolvingSkills" : "Make informed decisions", "specialRequirements" : "Travel as needed, Residing in western half of United States preferred", "outcomesObjectives" : "Superior claims service", "qualificationsBasic" : "Five or more years of demonstrated expertise in property claim handling, Ability to work independently, Make informed decisions, Experience with coverage forms, Policies and claims procedure", "qualificationsPreferred" : "Bachelor’s degree, Insurance designations", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Make a difference with a career in insurance At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person ®. If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. Start your journey with us Headquarters Property Claims seeks an experienced property claims professional to remotely oversee complex property claims in the Western Region . A c andidate residing in the western half of the United States is preferred. Salary: The pay range for this position is $90,000 - $120,000 annually. The pay determination is based on the applicant’s education, experience, location, knowledge, skills and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance. Be ready to: investigate and adjust large and complex property claims in the United States analyze property coverage forms to include business income and extra expense resolve questions of coverage and value of claims prepare and/or evaluate estimates assist in catastrophe situations engage in proactive claims handling, while providing superior claims service recommend timely and adequate reserves for the ultimate claim payment prepare detailed narrative factual reports and statements of loss assist in the education of Field Claims in property claims handling Qualified candidates have: five or more years of demonstrated expertise in property claim handling the ability to work independently and make informed decisions exceptional communication skills experience with coverage forms, policies and claims procedure proficient in Xactimate the ability to travel as needed Education: bachelor’s degree and insurance designations preferred Enhance your talents Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you’re new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional – all while enjoying a meaningful career. Enjoy benefits and amenities Your commitment to providing strong service, sharing best practices and creating solutions that impact lives is appreciated. To increase the well-being and satisfaction of our associates, we offer a variety of benefits and amenities. Learn more about our benefits and amenities packages. Embrace a diverse team As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation; religion; national origin; age; disability; or any other basis prohibited by law. 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Achieve results-driven approach", "qualificationsBasic" : "Juris Doctor (JD), Active license to practice law in California, Eligibility to practice in federal courts, 8+ years of experience in insurance defense litigation, Focus on complex trial work, Demonstrated success as lead trial counsel in multiple high-stakes cases, Knowledge of civil procedure, Knowledge of tort law, Knowledge of insurance law, Knowledge of trial strategies, Manage and prioritize a large caseload, Exceptional oral advocacy skills, Exceptional legal writing skills, Exceptional negotiation skills, Client relationship management skills, Ability to communicate complex legal strategies effectively", "qualificationsPreferred" : "Background in catastrophic injury, Background in construction defect, Background in professional liability cases, Experience with e-discovery tools, Experience with case management software, Membership in trial lawyer associations", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Tyson & Mendes – Senior Counsel, Complex Trial Teams Where Insurance Defense Meets Innovation Please note: An active bar license in the State of California is required. At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability. Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation. Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments. Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations. Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively. Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices. Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments. Requirements Juris Doctor (JD) from an accredited law school. Active license to practice law in California and eligibility to practice in federal courts. 8+ years of experience in insurance defense litigation with a strong focus on complex trial work. Demonstrated success as lead trial counsel in multiple high-stakes cases. Strong knowledge of civil procedure, tort law, insurance law, and trial strategies. Proven ability to manage and prioritize a large, demanding caseload with limited oversight. Exceptional oral advocacy, legal writing, and negotiation skills. Strong client relationship management skills with an ability to communicate complex legal strategies effectively. Background in catastrophic injury, construction defect, or professional liability cases preferred. Experience with e-discovery tools and case management software. Membership in local or national trial lawyer associations is a plus. Compensation Package The base salary for this position ranges from $160,000-$190,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Employees receive a monthly technology reimbursement of $60 Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues Flexible Work Model: Remote, hybrid, or onsite options available About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-remote Pay Range $160,000—$190,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial litigation, Insurance defense, High-exposure cases. Represent clients in high-exposure cases. 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We’re looking for paediatric nurses who want to make a real difference - helping young people stay safe, achieve their goals, discover new hobbies, and enjoy experiences that matter most to them. Your role goes beyond clinical care. You’ll build trust with families, create safe environments, and empower children to take trips, learn new skills, and thrive at home and in their community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving children the chance to grow, learn, and experience joy despite complex health needs. You would work 1:1 supporting a young female overnight with all respiratory, medication and clinical needs. It's important that you're attentive, proactive and alert in order to stay on top of all requirements. What We’re Looking For We’re seeking nurses who are: Compassionate and resilient, with a genuine passion for paediatric care. 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TGH Main Campus (TGHMAIN)
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Key Responsibilities: * Support the monthly and quarterly financial close process for the TV Networks organization, ensuring accurate and timely recording of transactions in accordance with U.S. GAAP and company policies * Prepare and review journal entries and balance sheet account reconciliations, with a focus on linear distribution, advertising, and other revenue streams * Assist in the preparation and analysis of internal financial statements (Income Statement, Balance Sheet, and Cash Flow) and reporting packages for senior leadership Partner with Finance and Technical Accounting teams to assess accounting impacts of new or complex business transactions * Ensure SOX compliance through the maintenance and documentation of internal controls, and support audit processes by preparing audit schedules and responding to auditor inquiries Coordinate with the Senior Director to identify opportunities for process improvements and control enhancements across accounting operations * Contribute to the implementation and ongoing enhancement of reporting systems and tools used in the controllership function * Supervise and mentor junior staff, fostering a collaborative and high-performance environment * Collaborate with controllership team and IT on reporting system enhancements (e.g. amortization systems) * Coordinate and communicate with various business units, including Financial Planning, Controllership, and Legal ## Qualifications * Bachelor’s degree in Accounting, Finance, or a related field; CPA preferred. * Minimum of 4+ years Accounting and/or Finance experience, preferably in the entertainment industry * Knowledge of general accounting practices and financial accounting standards. Additional Information: What we’ll offer: At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: * Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes * Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars * Extras -- Dry cleaning, and sneak peeks * Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City * Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. * Salary range: $90,000 - 125,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Manager, Accounting - TV Networks at Versant. Skills: Accounting, Financial reporting, Financial analysis. Manage accounting operations. 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Skills: Complex care management. Coordinate patient care. Develop care plans", "createdAt" : "2026-06-15T22:23:25.692", "lastUpdated" : "2026-06-16T09:27:36.178", "ingestTimestamp" : "2026-06-15T22:23:25.692", "mongoId" : "6a305c97f292fd229cf629b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 72000, "salaryAnnualMax" : 98000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Complex care management", "Care coordination", "Chronic conditions", "Mental health", "Substance abuse", "RN license preferred", "Electronic health records" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 515.81104, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.85 }, { "id" : "6a305d29f292fd229cf64dd3", "title" : "Manager, Accounting - TV Networks", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Accounting in Englewood Cliffs, United States, adjusted for the Media industry and company size." }, "location" : "Englewood Cliffs, NEW JERSEY, United States", "locations" : [ "Englewood Cliffs", "NEW JERSEY", "United States" ], "certifications" : [ "CPA", "CMA" ], "timestamp" : "2026-06-16T10:41:19.656", "fingerprint" : "a989622a0ec18d8904b1a39ee479dcbf767c2df4d701dc8cd31955846a14f2b2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131963818-manager-accounting-tv-networks", "externalId" : "744000131963818", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Englewood Cliffs", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.8853773,-73.9523597" } ], "locationText" : "Englewood Cliffs, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Excel, ERP systems", "professionalSkills" : [ "Financial reporting", "General ledger", "Month-end close", "Reconciliation", "Financial analysis", "Budgeting", "Forecasting", "Process improvement" ], "hardSkillsList" : [ "Accounting principles", "GAAP" ], "hardSkills" : [ { "name" : "Accounting principles", "level" : "intermediate" }, { "name" : "GAAP", "level" : "intermediate" } ], "majorSkills" : "Accounting, Financial reporting, Month-end close", "majorSkillsList" : [ "Accounting", "Financial reporting", "Month-end close" ], "coreResponsibilities" : "Manage accounting operations, Oversee general ledger, Prepare financial statements, Manage month-end close process, Perform account reconciliations, Assist with budgeting and forecasting, Support financial analysis, Identify and implement process improvements", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Media accounting; Entertainment accounting", "domainList" : [ "media-accounting", "entertainment-accounting" ], "domainSpecificKnowledge" : [ "Media accounting", "Entertainment accounting" ], "toolProficiency" : [ "NetSuite", "SAP", "Oracle" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "4+ years accounting experience", "qualificationsPreferred" : "CPA or CMA preferred, Experience with ERP systems preferred, Public accounting experience preferred, Experience in media or entertainment preferred", "remoteFriendly" : false, "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Key Responsibilities: * Support the monthly and quarterly financial close process for the TV Networks organization, ensuring accurate and timely recording of transactions in accordance with U.S. GAAP and company policies * Prepare and review journal entries and balance sheet account reconciliations, with a focus on linear distribution, advertising, and other revenue streams * Assist in the preparation and analysis of internal financial statements (Income Statement, Balance Sheet, and Cash Flow) and reporting packages for senior leadership Partner with Finance and Technical Accounting teams to assess accounting impacts of new or complex business transactions * Ensure SOX compliance through the maintenance and documentation of internal controls, and support audit processes by preparing audit schedules and responding to auditor inquiries Coordinate with the Senior Director to identify opportunities for process improvements and control enhancements across accounting operations * Contribute to the implementation and ongoing enhancement of reporting systems and tools used in the controllership function * Supervise and mentor junior staff, fostering a collaborative and high-performance environment * Collaborate with controllership team and IT on reporting system enhancements (e.g. amortization systems) * Coordinate and communicate with various business units, including Financial Planning, Controllership, and Legal ## Qualifications * Bachelor’s degree in Accounting, Finance, or a related field; CPA preferred. * Minimum of 4+ years Accounting and/or Finance experience, preferably in the entertainment industry * Knowledge of general accounting practices and financial accounting standards. Additional Information: What we’ll offer: At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: * Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes * Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars * Extras -- Dry cleaning, and sneak peeks * Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City * Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. * Salary range: $90,000 - 125,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Manager, Accounting - TV Networks at Versant. Skills: Accounting, Financial reporting, Month-end close. Manage accounting operations. Oversee general ledger", "postedDate" : "2026-06-12T18:37:38.000", "createdAt" : "2026-06-16T00:16:19.240", "lastUpdated" : "2026-06-16T10:41:19.656", "ingestTimestamp" : "2026-06-16T00:16:19.240", "mongoId" : "6a305d29f292fd229cf64dd3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Accounting principles", "GAAP", "Accounting", "Financial reporting", "Month-end close", "General ledger", "Reconciliation", "Financial analysis", "Budgeting", "Forecasting", "Process improvement", "Media accounting", "Entertainment accounting", "CPA", "CMA", "NetSuite", "SAP", "Oracle" ], "skillCount" : 18, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 515.7018, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 15901, "totalPages" : 319, "hasNext" : true, "hasPrevious" : false } }

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