I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Oasis Labs
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- verified_benefits_only: true
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

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TITLE: Universal Banker - PT/20HR - Oasis Plaza
EMPLOYER: Truist Financial Corporation
LOCATION: Homestead, FL (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Homestead-FL/Universal-Banker---PT-20HR---Oasis-Plaza_R0114704
EXCERPT: Universal Banker - PT/20HR - Oasis Plaza Homestead, FL posted: Posted 8 Days Ago
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TITLE: EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $157K-$213K
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10419315/emir-engineer-annapurna-labs-cloud-scale-machine-learning
EXCERPT: EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today's AI workloads in datacenters all around the world. As a Sr. SoC EMIR Engineer, you'll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality. We're searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you'll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling. Key job responsibilities * Design & analyze power grids * Setup flows for EMIR analysis * Run EMIR analysis for large subsystems, SoCs * Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop and maintain dashboards for EMIR rollups * Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation A day in the life Depending on the state of the project, you may find yourself working on the following: * Design and evaluate power grids * Working with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysis * Root cause
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TITLE: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $185K-$250K
POSTED: 2025-12-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3140960/software-development-manager-ml-accelerators-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Seattle, Washington, USA 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
---
TITLE: Equipment Engineer, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Haifa, HA, ISR (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3112502/equipment-engineer-annapurna-labs
EXCERPT: Equipment Engineer, Annapurna Labs Haifa, HA, ISR 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of AWS, is looking for a talented Equipment Engineer, to support the development of a semiconductor platform based on revolutionary architecture. Key job responsibilities In this role, you will: • Provide technical support for the engineering test lab equipment (testers / handlers / TCU etc.). • Remotely support Annapurna Labs testing vendors in the Far East. • Write technical procedures for the lab users. • Provide technical training for the lab users. • Provide electrical / mechanical designs for lab Jigs. • Travel to Annapurna Labs vendors (3-4 BTs per year). About the team 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)
---
TITLE: Lab Engineer , Amazon Leo
EMPLOYER: Amazon
LOCATION: Kirkland, Washington, USA (unspecified)
SALARY: $39-$69/hr
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10430769/lab-engineer-amazon-leo
EXCERPT: Lab Engineer , Amazon Leo Kirkland, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. As an Lab Engineer at SEA133, you will troubleshoot complex technical issues, implement safety protocols, drive process improvements, and develop Standard Operating Procedures (SOPs). You will work with cross-functional teams to ensure lab operations meet quality standards and safety requirements. Key job responsibilities Troubleshoot and resolve technical issues in the SSL lab environment Develop and maintain SOPs for lab operations and equipment Implement safety protocols and ensure compliance with all safety standards Lead process improvement initiatives to increase efficiency and reduce errors Conduct root cause analysis for lab incidents and implement corrective actions Collaborate with engineering teams to validate new hardware and software solutions Train team members on proper lab procedures and safety protocols Document technical issues, resolutions, and process changes A day in the life Laboratory setting with specialized test equipment May require occasional extended hours to complete critical test campaigns Collaborative team environment focused on product quality and reliability Basic Qualifications: - Experience planning and maintaining lab facilities for optimal efficiency and creating new processes when necessary - Bachelor's degree in Engineering, Computer Science, or related technical field - 1+ years of experience in a technical lab environment - Experience writing
---
TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-12-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3149763/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Utility Computing (UC) 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 customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences 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
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TITLE: Managing Director SAP Labs Israel (f/m/d)
EMPLOYER: SAP
LOCATION: Country Israel | Internal Posting Location Raanana (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.sap.com/job/Ra'anana-Managing-Director-SAP-Labs-Israel-%28fmd%29-4366202/1399730833/
EXCERPT: Managing Director SAP Labs Israel (f/m/d) Country Israel | Internal Posting Location Raanana We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Where you belong The Managing Director (MD) of SAP Labs Israel (f/m/d) is a senior, on-site leadership role responsible for the overall success of that lab as part of the SAP Labs Network. The MD acts as the local face of SAP Product Engineering while representing Labs Israel within the global SAP Labs Network leadership. The role sits at the intersection of people, execution, strategy, and ecosystem, not day‑to‑day product delivery, but the conditions that enable it. Specifically, this role is responsible for formulating the strategic vision, establishing a cohesive value proposition, and driving the operational excellence of SAP Labs Israel as a global development and engineering hubs. The MD serves as SAP's spokesperson and legal representative for the Lab, ensuring that appropriate internal and external relationships are developed and maintained to position SAP Labs Israel as a trusted peer, thought leader, and integral node
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TITLE: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-09-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3072218/software-engineering-manager-ml-kernel-performance-aws-neuron-annapurna-labs
EXCERPT: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA 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 Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products
---
TITLE: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-03-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/2925690/sr-sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA 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. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC)
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TITLE: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378255/ml-kernel-performance-engineer-aws-neuron-annapurna-labs
EXCERPT: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA 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 Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the
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TITLE: SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-01-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3152739/sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) 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
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TITLE: SoC Lab Technician, SSG
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10411582/soc-lab-technician-ssg
EXCERPT: SoC Lab Technician, SSG Bengaluru, Karnataka, IND The team that built the innovative Silicon IP AZ1 Neural Edge powering the latest generation of Echo devices is looking for an SoC Lab Validation Technician to support post-silicon validation and lab operations as we continue to innovate on behalf of our customers. We are part of Amazon Lab126 that revolutionized reading with Kindle and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge. Work hard. Have fun. Make history. Key job responsibilities Perform board-level rework on SoC development and validation platforms, including component soldering, desoldering, wire modifications, and connector replacements Set up and operate lab equipment such as DC power supplies, oscilloscopes, logic analyzers, multimeters, and signal generators for silicon validation and debug Execute pre-defined test scripts and validation test plans on emulation, prototyping, and early silicon platforms Assist in silicon bringup activities including power sequencing verification, clock measurement, and basic functional checkout Build, configure, and maintain lab test setups and prototype hardware platforms Perform board-level debug under the guidance of senior validation engineers, including probing signals, capturing waveforms, and documenting observations Maintain lab inventory, manage equipment calibration schedules, and ensure lab safety compliance Document test results, rework procedures, and debug findings in a clear and structured manner Support automation of repetitive lab tasks using basic scripting (Python, shell scripts) Basic Qualifications: - 3+ years of hardware development, test lab, space/aerospace maintenance or hands-on engineering
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TITLE: Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $137K-$185K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378152/sr-lab-engineer-annapurnna-labs-machine-learning-hardware
EXCERPT: Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within AWS) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Key job responsibilities As a member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software Engineering teams with lab setup and maintenance, as well as work with external / internal groups in the organization, including vendors for lab equipment. In this role, you will provide technical support for product development projects in the Machine learning lab including AWS Server integration and maintenance. We are looking for candidates who thrive in a fast-paced, start-up like environment, and who can work independently to deliver multiple projects in parallel across multiple sites. To be successful you need to be hands-on, highly motivated and detailed oriented while meeting the highest standards, time to market, cost and quality goals. 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
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TITLE: Server Lab Engineer , ML-IL
EMPLOYER: Amazon
LOCATION: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10419821/server-lab-engineer-ml-il
EXCERPT: Server Lab Engineer , ML-IL Tel Aviv-Yafo, Tel Aviv, ISR Machine Learning Israel (MLIL), as part of Annapurna Labs / Amazon, is hiring a Lab Engineer to own and operate the labs that powers the bring-up and validation of our next-generation ML training and inference racks. In this role you will build, maintain, and continuously evolve the lab infrastructure - from bench setups to server racks - used daily by HW, FW, and SW engineers. You will be the go-to person for delivering working, instrumented setups that the R&D teams can pick up and run with. Key job responsibilities • Own the MLIL hardware lab in the Tel-Aviv office: physical layout, power and cooling budget, network topology, cabling, asset tracking, and day-to-day operations. • Build, configure, and connect new lab setups for HW, FW, and SW engineers - including Servers, GPU sleds, PCIe switches, retimers, NICs, and DRAM modules - and deliver them ready for R&D use. • Administer and maintain Linux-based servers and systems, including installation, configuration, and optimization • Manage and configure network services such as DHCP, PXE, and other critical infrastructure components. • Run sanity tests on every delivered setup - boot, PCIe enumeration, basic DRAM check, network reachability - so R&D teams pick up a known-good baseline and can focus on their work. • Write and maintain automation scripts (Python / Bash) for repetitive lab tasks - power cycling, log collection, provisioning, imaging, test-harness setup. • Procure, inventory, and manage lab equipment: bench PSUs, scopes, protocol
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TITLE: Sr. Failure Analysis Engineer, SPICE Lab (Seattle)
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $137K-$186K
POSTED: 2026-01-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3162914/sr-failure-analysis-engineer-spice-lab-seattle
EXCERPT: Sr. Failure Analysis Engineer, SPICE Lab (Seattle) Seattle, Washington, USA 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 supports Amazon's growing portfolio of hardware programs including Prime Air, Leo, Mechatronics, AWS, Annapurna, 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 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 Annapurna Labs organization by investigating failure mechanisms in enterprise compute and networking assemblies, including thermal solutions. You will develop and execute world-class failure analysis outcomes utilizing electrical fault isolation techniques, physical analysis, spectroscopy, and 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 Annapurna Labs' cross-functional teams, coordinating failure analysis campaigns, triaging devices from reliability qualifications, and providing guidance on manufacturing and design best practices to drive reliability improvements at scale. Key job responsibilities • Conduct failure analysis utilizing electrical fault isolation techniques, physical analysis, spectroscopy, and chemical characterization. • Consultation on corrective actions, method development, design/manufacturing best practices cross-functionally to drive measurable improvements to
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TITLE: Lab Buildout and Operations Manager, Integration & Test, Amazon Leo
EMPLOYER: Amazon
LOCATION: Redmond, Washington, USA (unspecified)
SALARY: $117K-$160K
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10438123/lab-buildout-and-operations-manager-integration-test-amazon-leo
EXCERPT: Lab Buildout and Operations Manager, Integration & Test, Amazon Leo Redmond, Washington, USA We are looking for a hands-on Lab Buildout and Operations Manager to own the deployment, readiness, and sustained operation of RF, networking, and system-integration lab environments. This role will manage lab infrastructure buildouts across Austin, San Diego, and Seattle, ensuring labs are built, instrumented, networked, documented, and operationally ready for engineering use. The ideal candidate has a strong mix of lab operations, RF test infrastructure, networking, procurement, vendor management, and hands-on systems experience. This person should be comfortable working across engineering, facilities, procurement, vendors, and site leadership to turn unclear lab requirements into executable build plans. Key Responsibilities Lab Buildout and Site Readiness - Own end-to-end lab buildout execution for RF and system-integration environments across Austin, San Diego, and Seattle. - Coordinate deployment of racks, benches, chambers, RF infrastructure, test equipment, control stations, cabling, power, grounding, cooling, and secure lab network access. - Drive readiness for RF test areas, integrated system test beds, hardware-in-the-loop environments, and production-representative lab setups. - Partner with Facilities, Networking, Security, Hardware, RF, Software, and Test teams to ensure lab spaces are usable, safe, scalable, and -operationally reliable. - Maintain lab bring-up schedules, punch lists, dependency trackers, and operational readiness checklists. RF, Network, and Test Infrastructure Operations - Support RF lab environments including chambers, antennas, attenuators, channel emulators, spectrum analyzers, signal generators, RF cabling, timing sources, and related instrumentation. - Support lab network design and operations, including VLANs, routing, switching, firewall access, remote
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TITLE: Software Development Engineer - Neptune, The AWS In-Memory Databases Console Team
EMPLOYER: Amazon
LOCATION: Dublin, IRL (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10398458/software-development-engineer-neptune-the-aws-in-memory-databases-console-team
EXCERPT: Software Development Engineer - Neptune, The AWS In-Memory Databases Console Team Dublin, IRL The In-Memory and Emerging DB organization drives innovation across Amazon's managed database services, owning and evolving the management consoles that serve over 295,000 monthly active users. Our console team spans five distinct database services - ElastiCache, MemoryDB, DocumentDB, Timestream, and Neptune - and this role is dedicated to the Neptune Console Amazon Neptune is a fast, scalable, fully-managed graph database service used by thousands of customers worldwide. Neptune powers a rich variety of graph use cases including recommendation engines, fraud prevention, knowledge graphs, and drug discovery. The service supports both the Resource Description Framework (RDF) and property graph data models, along with their respective query languages. This is a unique opportunity to shape the customer-facing console experience for one of the fastest-growing graph database services in the industry. To learn more about Amazon Neptune visit: https://aws.amazon.com/neptune/ Our team understands and values work life balance. Most days, our entire team is co-located in the Dublin office, but support occasional remote work if needed. We generally keep core in-office hours from 10am to 4pm and provide flexibility for people to structure their working hours around them. The role involves day time on-call responsibilities, typically once every 2-3 months. We don't like to get paged in the middle of the night or on weekends; so we investigate operational gaps on a weekly basis, proactively root-cause issues and fix them for good. Our team has a mixture of engineers from diverse
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TITLE: Senior Emulation Engineer
EMPLOYER: Amazon
LOCATION: Haifa, Haifa, ISR (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-25
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3166128/senior-emulation-engineer
EXCERPT: Senior Emulation Engineer Haifa, Haifa, ISR 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop technologies, work with amazingly talented engineers, and truly shape the future. Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. Exciting opportunity to join Amazon in developing its next generation products for the cloud market. We are looking for talented people to join the Pre-silicon Verification team, focusing on working on system level and using emulation technologies. About the team About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is
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TITLE: Innovation Lab Manager, RDPI - Global Engineering
EMPLOYER: Amazon
LOCATION: Westboro, Wisconsin, USA (unspecified)
SALARY: $99K-$160K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10406863/innovation-lab-manager-rdpi-global-engineering
EXCERPT: Innovation Lab Manager, RDPI - Global Engineering Westboro, Wisconsin, USA The RDPI (Robotics Deployment & Packaging Innovation) Global Engineering team is seeking a talented and highly organized Lab Manager to contribute to delivering transformational innovation to the business. You will be part of a dynamic team of engineers with the mission to ensure that robotics technologies maturing through the development pipeline are vetted and tested to identify and resolve issues upstream before large-scale deployment and operation. You will manage the infrastructure and operations for the key innovation lab(s) that designers, engineers, and scientists rely on to invent, prototype, test, and perform experiments on the next generation automation technologies for Amazon fulfillment. You will take end-to-end ownership of these lab facilities to transform them into high-performing centers of excellence. If you are passionate about pioneering new technologies for the real world, innovating, and experimenting to enable delivery of automation systems at scale, we want to talk to you. Key job responsibilities - Manage day-to-day operations of the lab space, including lab user management, shipping & receiving (ranging from single packages to trailer loads), lab cleanliness standards and upkeep, accurate inventory records and re-stocking, lab operating budget management, safety protocols, vendor relationships, capacity planning, and equipment calibration and maintenance. - Maintain accurate lab records, including experiment logs, maintenance schedules, and operational reports; assist in compiling technical documentation for internal and external stakeholders. - Drive continuous improvement in lab operation, equipment utilization, and equipment layout. - Partner with product designers and engineers to
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TITLE: Test Lab Engineer
EMPLOYER: BASF
LOCATION: Country / Location United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://basf.jobs/dark_blue_NA/job/Test-Lab-Engineer/137397-en_US/
EXCERPT: Test Lab Engineer Country / Location United States Now hiring! Test Lab Engineer Wyandotte, MI We are looking for a Test Lab Engineer to join our Performance Materials team in Wyandotte. Come create chemistry with us! The Performance Materials division is at the forefront of the much-needed sustainability transformation in plastics. Our experts co-create products with customers to bring innovations to major industry sectors such as transportation, consumer goods, industrial applications, and construction.These solutions contribute to a sustainable future by pushing the boundaries in thermal resistance, robustness and lightweight applications. We are seeking a professional like you to join our team. In this role, you will be responsible for operating the Cellasto Test Lab which performs testing on Cellasto components in support of the Cellasto Sales & Engineering, Quality Assurance, Manufacturing, and Chemical Development Groups As a Test Lab Engineer, you create chemistry by... Performing static and dynamic testing of Cellasto parts and components using complex mechanical test equipment. Maintaining lab systems such as calibration and preventative maintenance compliant with the expectations of automotive customers. Identifying and resolve test equipment performance issues and breakdowns. Ensuring that diverse customer requirements are met on time within the resource constraints of the lab. If you... Have or actively pursuing a degree in Engineering and/or engineering background and lab skills Possess strong communication skil
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TITLE: Senior QC Lab Manager
EMPLOYER: Pfizer
LOCATION: Singapore - Tuas (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Singapore---Tuas/Senior-QC-Lab-Manager_4955095-1
EXCERPT: Senior QC Lab Manager Singapore - Tuas posted: Posted Yesterday
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TITLE: Revenue Operations Coordinator I (Lab)
EMPLOYER: DaVita
LOCATION: 00303 - TRC Lab SGA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00303---TRC-Lab-SGA/ROPS-Coordinator-I--Lab-_R0455765
EXCERPT: Revenue Operations Coordinator I (Lab) 00303 - TRC Lab SGA posted: Posted 16 Days Ago
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TITLE: Lab technician
EMPLOYER: NXP Semiconductors
LOCATION: Nijmegen (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nxp.wd3.myworkdayjobs.com/Careers/job/Nijmegen/Lab-technician_R-10063240-1
EXCERPT: Lab technician Nijmegen posted: Posted 30+ Days Ago
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TITLE: Lab Analyst
EMPLOYER: The Procter & Gamble Company
LOCATION: Chachoengsao (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/Chachoengsao/Lab-Analyst_R000142566
EXCERPT: Lab Analyst Chachoengsao posted: Posted 30+ Days Ago
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TITLE: Applied Scientist, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Cambridge, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442934/applied-scientist-edge-ai-and-science
EXCERPT: Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,
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TITLE: Sr. SDM, AI Inference Technology, Neuron SDK
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $253K-$342K
POSTED: 2025-06-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3009701/sr-sdm-ai-inference-technology-neuron-sdk
EXCERPT: Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. 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, developing the full stack of software, servers and
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TITLE: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $157K-$213K
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10430432/asic-engineer-ii-cloud-scale-machine-learning-acceleration-team
EXCERPT: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team Cupertino, California, USA Utility Computing (UC) 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 customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences 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
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TITLE: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10415417/software-development-engineer-ai-ml-amazon-neuron-multimodal-inference
EXCERPT: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds 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 AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection
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TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059766/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-team
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Austin, Texas, USA Utility Computing (UC) 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 customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences 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,
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TITLE: ML Kernel Performance Engineer, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 115K-192K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437525/ml-kernel-performance-engineer-edge-ai-and-science
EXCERPT: ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed
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TITLE: Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2026-01-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3162426/senior-virtual-platform-software-engineer-annapurna-labs-machine-learning-accelerators-aws
EXCERPT: Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. What you'll do: - Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams - Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently - Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation - Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity - Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale - Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: - You'll own a product that software teams across AWS depend on - they literally can't start development without your virtual platform - The engineering challenges
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TITLE: Lab Compliance Manager
EMPLOYER: AbbVie Inc.
LOCATION: Sligo, , Ireland (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990009197446-lab-compliance-manager
EXCERPT: Lab Compliance Manager Sligo, , Ireland Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: We are looking for a Lab Compliance Manager to join our team on our Manorhamilton Road site in Sligo . The Lab Compliance Manager drives project-related activities within the QC department, focusing on the introduction of innovative analytical techniques, automation, and the transition to a paperless lab environment. This role is pivotal in the implementation of the "Lab of the Future" concept and managing lab expansion projects. Responsibilities: Lead and manage all project-related activities in the QC department. Oversee the introduction of new analytical techniques, focusing on automation and paperless laboratory systems. Manage the implementation of the Lab of the Future initiative in the QC department. Coordinate and oversee laboratory expansion projects. Manage and oversee compendial reviews, documentation control for QC, maintenance and calibration of analytical instrumentation, analytical work orders on maximo and retain management. Manage purchasing and budget control, including vendor managed inventory, laboratory cleaning services and capital requirements for QC. Manage and ensure delivery of
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TITLE: Hardware Performance Test Engineer, Engineering Labs, Platforms
EMPLOYER: Google
LOCATION: Sunnyvale, CA, USA (unspecified)
SALARY: $132K-$190K
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZwNi7NnKmuOP8xhaiXxcFK_OPYM3K17BaJ7hvnTYzTlEjsACxwdTDP_hdZlDON6QwuH_Av7pC3j5TZRhzD0FjsUEmO3wOhymTxCQQlEuapKT3UGZtpH5TAjfTVsig%3D%3D_V2&loc=US&title=Hardware+Performance+Test+Engineer
EXCERPT: Hardware Performance Test Engineer, Engineering Labs, Platforms Sunnyvale, CA, USA As a Hardware Test Engineer, you will be supporting a team of hardware design, test, and qualification engineers who are responsible for prototype bring-up, validation, qualification, and failure analysis of machine learning technologies such as CPU/TPU/GPU, DDR memory, storages and high-speed interconnects. You will also be responsible for liaison between hardware engineering teams and the lab team to ensure lab resources are accounted for and to ensure we are 'lab-ready' for new products entering the research and development labs or sustaining efforts. In addition you will help to manage lab budget, hiring, performance management, and the well-being of the team as well as ensuring the labs are well organized and providing a safe working environment.Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $132000 - $190000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about
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TITLE: CPU Verification Engineer
EMPLOYER: Amazon
LOCATION: Haifa, Haifa, ISR (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3134897/cpu-verification-engineer
EXCERPT: CPU Verification Engineer Haifa, Haifa, ISR 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop cutting-edge technologies, work with amazingly talented engineers, and truly shape the future. Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. Annapurna Labs is looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture. You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment. About the team About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage
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TITLE: Senior ML Kernel Performance Engineer
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 151K-252K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059954/senior-ml-kernel-performance-engineer
EXCERPT: Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed
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TITLE: Lab Technician
EMPLOYER: Ecolab
LOCATION: USA - Texas - Garland (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Texas---Garland/Lab-Technician_R00292879
EXCERPT: Lab Technician USA - Texas - Garland posted: Posted 30+ Days Ago
---
TITLE: Lab Technician
EMPLOYER: The Procter & Gamble Company
LOCATION: READING PLANT (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/READING-PLANT/Lab-Technician_R000149490
EXCERPT: Lab Technician READING PLANT posted: Posted 30+ Days Ago
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TITLE: Senior/Principal Backend Engineer -AI IDEX (Cortex Cloud)
EMPLOYER: CyberArk
LOCATION: Office - Israel - Tel Aviv (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Senior-Principal-Backend-Engineer--AI-IDEX--Cortex-Cloud-_JR-014735
EXCERPT: Senior/Principal Backend Engineer -AI IDEX (Cortex Cloud) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago
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TITLE: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059992/sr-ml-kernel-performance-engineer-aws-neuron-annapurna-labs
EXCERPT: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA 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 Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at
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TITLE: Network Security Lab Architect
EMPLOYER: CyberArk
LOCATION: 52 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Santa-Clara-United-States-of-America/Network-Security-Lab-Architect_JR-017354
EXCERPT: Network Security Lab Architect 52 Locations posted: Posted Yesterday
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TITLE: Senior PMT ES - Reinforcement Learning, SageMaker AI
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $152K-$206K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10440199/senior-pmt-es-reinforcement-learning-sagemaker-ai
EXCERPT: Senior PMT ES - Reinforcement Learning, SageMaker AI Bellevue, Washington, USA We're seeking a Senior Product Manager, Technical to define and own the product strategy for reinforcement learning (RL) on Amazon SageMaker AI. You'll shape how customers leverage reinforcement learning to align, customize, and improve foundation models and AI systems. Reinforcement learning is at the heart of how the most capable AI systems are built today. From aligning foundation models to optimizing complex multi-step reasoning and decision-making systems, RL has moved from a research curiosity to a production-critical capability. Yet for most customers, RL remains difficult to adopt-requiring deep expertise, complex infrastructure, and significant experimentation. We need a product leader who can make reinforcement learning dramatically more accessible, helping a broad range of customers use RL to build better models and get to production faster. Amazon SageMaker AI is the industry-leading service for machine learning, used by tens of thousands of customers-from startups to the world's largest enterprises-to build and deploy ML and GenAI applications at scale. If you want to build the products that define how the world develops and aligns AI, this is the role for you. Key job responsibilities * Define and execute product strategy and roadmap for reinforcement learning on SageMaker AI, working backwards from customer needs in model alignment, optimization, and decision-making * Partner with applied science and engineering teams to define technical requirements for training infrastructure, algorithms, and tooling * Own business metrics including adoption, usage, and revenue growth * Engage directly with customers-from
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TITLE: Dosimetry Lab Technician
EMPLOYER: Abbott Laboratories
LOCATION: Ireland - Kilkenny (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Ireland---Kilkenny/Dosimetry-Lab-Technician_31143345-1
EXCERPT: Dosimetry Lab Technician Ireland - Kilkenny posted: Posted 30+ Days Ago
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TITLE: Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-02-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3175270/software-engineer-ai-ml-aws-neuron-distributed-training-performance-optimization
EXCERPT: Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization Seattle, Washington, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in the Distributed Training 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 multi-modal large language models like Llama, Qwen, gpt-oss, DeepSeek and beyond, as well as multi-modal generation models such as Stable Diffusion, Flux, WAN, 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 AWS Trainium, maximize training throughput, minimize time-to-convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance. Key job responsibilities This role will help lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency
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TITLE: Software Engineer (Lab Automation)
EMPLOYER: Amgen
LOCATION: India - Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Lab-Automation-Software-Engineer_R-240646
EXCERPT: Software Engineer (Lab Automation) India - Hyderabad posted: Posted 30+ Days Ago
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TITLE: Software Development Manager, LLM Inference Model Enablement, Neuron SDK
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-09-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3074104/software-development-manager-llm-inference-model-enablement-neuron-sdk
EXCERPT: Software Development Manager, LLM Inference Model Enablement, Neuron SDK Cupertino, California, USA DESCRIPTION AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium. As the SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the
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TITLE: Senior Lab Technician
EMPLOYER: Ecolab
LOCATION: USA - Illinois - Naperville (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Illinois---Naperville/Senior-Lab-Technician_R00296428
EXCERPT: Senior Lab Technician USA - Illinois - Naperville posted: Posted 7 Days Ago
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TITLE: Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-04-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10381654/cloud-hardware-dev-engineer-aws-generative-ai-ml-servers-aws-generative-ai-ml-servers
EXCERPT: Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers Seattle, Washington, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) 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. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job
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TITLE: Microbiological Lab Leader
EMPLOYER: The Procter & Gamble Company
LOCATION: RAKONA PLANT (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/RAKONA-PLANT/Microbiological-Lab-Leader_R000151611
EXCERPT: Microbiological Lab Leader RAKONA PLANT posted: Posted 25 Days Ago
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TITLE: Neuron Runtime Software Development Engineer , Neuron Runtime
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-04-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10388015/neuron-runtime-software-development-engineer-neuron-runtime
EXCERPT: Neuron Runtime Software Development Engineer , Neuron Runtime Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the
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TITLE: Senior Lab Technician
EMPLOYER: 3M
LOCATION: US, Minnesota, Maplewood (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://3m.wd1.myworkdayjobs.com/Search/job/US-Minnesota-Maplewood/Senior-Lab-Technician_R01165677
EXCERPT: Senior Lab Technician US, Minnesota, Maplewood posted: Posted 15 Days Ago
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TITLE: Lab Technician
EMPLOYER: Bunge
LOCATION: Channahon, IL (unspecified)
SALARY: $50K-$56K
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
APPLY_URL: https://jobs.bunge.com/job/Channahon-Lab-Technician-IL-60410/1394735633/
EXCERPT: Lab Technician Channahon, IL Requisition Number: 45689 A Day in the Life: The Laboratory Technician performs sampling and routine testing to determine chemical, physical and microbiological characteristics or composition of solid and liquid materials to ensure process and quality control measures are effective. The Lab Technician follows all policies and procedures to ensure that performed work exceeds the requirements of “Good Laboratory Practices” and to maintain the positive image of a reliable and efficient laboratory. What You'll Be Doing: Performs physical and chemical testing of raw materials, in-process samples and finished products Verifies that test results conform to product and customer specifications Ensures timely delivery of test results, issuing certificates of analysis, filing testing information, and maintaining analysis databases Prepares chemical solutions according to standard formulas Follows lab safety regulations at all times, including but not limited to eye protection, hand protection, and proper use of fume hoods or other breathing protection Performs set up, adjustments, and operation of lab equipment, including gas & liquid chromatographs, balances, colorimeters, refractometers, and other related equipment Performs microbiological sampling, swabbing and testing either in house or by sending to an external laboratory. Assists with general upkeep of the lab including cleaning of lab instruments, glass bottles, vials and tubes, as well as counters, cabinets, and fixtures Maintai
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TITLE: Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378117/virtual-platform-software-engineer-annapurna-labs-machine-learning-accelerators-aws
EXCERPT: Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. What you'll do: - Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams - Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently - Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation - Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity - Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale - Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: - You'll own a product that software teams across AWS depend on - they literally can't start development without your virtual platform - The engineering challenges are
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TITLE: Senior Lab Operations Manager, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $256K-$279K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUKbdKNAbPXx23aGKjsSkQfkkUgE60q0ubY6Sl63j_WZEjsACxwdTBYu0LhEaWINSmdxtL7kJjpu8LCQHyrakzxpxkR65vo3At184est2zZokjnEAXHuHc9Mw9hTOw%3D%3D_V2&loc=US&title=Senior+Lab+Operations+Manager
EXCERPT: Senior Lab Operations Manager, DeepMind Mountain View, CA, USA As the Senior Lab Operations Manager, you will be the heartbeat of our floor-lab operations. You will be responsible for ensuring that every square foot of the lab is either optimized for maximum productivity or is a safe and effective platform for research experiments. You will sit at the center of a complex ecosystem, aligning internal engineering goals with external Vendor (xWf) execution. When the floor is humming, it is because of your systems; when there is a bottleneck, you are the one who clears it. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Own the daily rhythm of the lab with an eye on increasing research velocity. Manage space allocation, equipment scheduling, and workflow optimization to ensure no engineer or
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TITLE: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2025-10-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3098687/senior-software-development-engineer-ai-ml-aws-neuron-model-inference
EXCERPT: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA 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 AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to
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TITLE: Software Engineer II- AI/ML, AWS Neuron
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-03-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10375046/software-engineer-ii-ai-ml-aws-neuron
EXCERPT: Software Engineer II- AI/ML, AWS Neuron Seattle, Washington, USA 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 AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Training Enablement and Foundation team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of
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TITLE: Lead System and Lab Commissioning Engineer
EMPLOYER: GE Vernova
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Noida/Lead-System-and-Lab-Commissioning-Engineer_R5034342-1
EXCERPT: Lead System and Lab Commissioning Engineer Noida posted: Posted 30+ Days Ago
---
TITLE: Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10444125/sr-emir-engineer-annapurna-labs-cloud-scale-machine-learning
EXCERPT: Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today's AI workloads in datacenters all around the world. As a Sr. EMIR Engineer, you'll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality. We're searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you'll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling. Key job responsibilities * Design & analyze power grids * Setup flows for EMIR analysis * Run EMIR analysis for large subsystems, SoCs * Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop and maintain dashboards for EMIR rollups * Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation A day in the life Depending on the state of the project, you may find yourself working on the following: * Design and evaluate power grids * Working with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysis * Root cause
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TITLE: Lab Operations Coordinator
EMPLOYER: Abbott Laboratories
LOCATION: New Zealand - Waikato (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/New-Zealand---Waikato/Lab-Operations-Coordinator_31148578
EXCERPT: Lab Operations Coordinator New Zealand - Waikato posted: Posted 30+ Days Ago
---
TITLE: Software Development Engineer, AI/ML, AWS Neuron, Model Inference
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2025-11-19
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3128924/software-development-engineer-ai-ml-aws-neuron-model-inference
EXCERPT: Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA 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 AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work
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TITLE: Lab Lead, Medical Education
EMPLOYER: Stryker Corporation
LOCATION: Bloomington, Minnesota (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bloomington-Minnesota/Lab-Lead--Medical-Education_R565049
EXCERPT: Lab Lead, Medical Education Bloomington, Minnesota posted: Posted 25 Days Ago
---
TITLE: Applied Scientist II, Amazon Connect
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10405960/applied-scientist-ii-amazon-connect
EXCERPT: Applied Scientist II, Amazon Connect Seattle, Washington, USA Do you want to join a team of innovative scientists to research and develop generative AI technology that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment? Amazon Connect is a highly disruptive cloud-based contact center from AWS that enables businesses to deliver intelligent, engaging, dynamic, and personalized customer service experiences. The Agentic Customer Experience (ACX) org is responsible for weaving native-AI across the Connect application experiences delivered to end-customers, agents, and managers/supervisors. The Interactive AI Science team, serves as the cornerstone for AI innovation across Amazon Connect, functioning as the sole science team support high impact product including Amazon Q in Connect, Contact Lens and other key initiatives. As an Applied Scientist on our team, you will work closely with senior technical and business leaders from within the team and across AWS. You distill insight from huge data sets, conduct cutting edge research, foster ML models from conception to deployment. You have deep expertise in machine learning and deep learning broadly, and extensive domain knowledge in natural language processing, generative AI and LLM Agents evaluation and optimization, etc. You are comfortable with quickly prototyping and iterating your ideas to build robust ML models using technology such as PyTorch, Tensorflow and AWS Sagemaker. The ideal candidate has the ability to understand, implement, innovate on the state-of-the-art Agentic AI based systems. We have a rapidly growing customer base and an exciting charter in
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TITLE: Blade Lab Operational Technical Leader
EMPLOYER: GE Vernova
LOCATION: Greenville (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Greenville/Blade-Lab-Operational-Technical-Leader_R5044277-2
EXCERPT: Blade Lab Operational Technical Leader Greenville posted: Posted 2 Days Ago
---
TITLE: Technology Lab Manager
EMPLOYER: Google
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $144K-$209K
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQn0fLXRvgdQFaxcNl9izKWHTFvuz2phJh46bxjuZQngEjsACxwdTMRZiDvbm2-eHsAEfZp6ZMf9ffG4Z5yNyd0_O_Kv0I-X30jHDwBLd3m9bcIuMx87HyF0OA4D5w%3D%3D_V2&loc=US&title=Technology+Lab+Manager
EXCERPT: Technology Lab Manager Mountain View, CA, USA Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $209000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Oversee lab space planning and coordinate build out of new labs including lab layouts, specifications, safety and compliance, electrical, networking, cooling, and construction plans. Organize, audit, and manage a lab environment to ensure high productivity and safety for multiple engineering teams and identify and recommend creative ways to leverage or enhance existing practices. Perform inventory tracking of all electrical lab equipment and
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TITLE: System Development Engineering, EC2 Nitro High Memory and HPC team
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $149K-$201K
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10418906/system-development-engineering-ec2-nitro-high-memory-and-hpc-team
EXCERPT: System Development Engineering, EC2 Nitro High Memory and HPC team Santa Clara, California, USA Utility Computing (UC) 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. EC2 Nitro drives the planet's largest, fastest growing and most feature-rich compute cloud. Nitro is AWS's ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon's custom silicon - Graviton3 - while raising the industry bar for security and performance across our product line. The Nitro Team is looking for engineers with systems knowledge and experience in area such as Linux OS boot sequencing, Kernel, Hypervisor (Xen or KVM), peripheral device development (PCIe or NVMe) and building compute infrastructure to support High Memory and High performance computing workloads. The Nitro High Memory and HPC team owns the purpose built platform development for the High performance computing workloads and database workloads like SAP, Oracle and SQL with tens of terra-byte of memories. Team interfaces directly with system BIOS for bare-metal instances and drives
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TITLE: C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10411728/c-c-hardware-software-co-design-sde-machine-learning-acceleration-systems
EXCERPT: C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems Austin, Texas, USA Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and
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TITLE: Clinical Support I (Lab)
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Clinical-Support-I--Lab-_R0462223
EXCERPT: Clinical Support I (Lab) 00300 - Davita Laboratory Services posted: Posted 4 Days Ago
---
TITLE: Applied Scientist, AWS Neuron Science Team
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2025-12-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3139216/applied-scientist-aws-neuron-science-team
EXCERPT: Applied Scientist, AWS Neuron Science Team Santa Clara, California, USA 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
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TITLE: Microbiology Lab Technician
EMPLOYER: The Procter & Gamble Company
LOCATION: IOWA CITY PLANT (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/IOWA-CITY-PLANT/Job-Posting-Title-Microbiology-Lab-Technician_R000134826
EXCERPT: Microbiology Lab Technician IOWA CITY PLANT posted: Posted 30+ Days Ago
---
TITLE: Senior Software Dev Engineer, Amazon Neptune
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $168K-$227K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436969/senior-software-dev-engineer-amazon-neptune
EXCERPT: Senior Software Dev Engineer, Amazon Neptune Seattle, Washington, USA Amazon Neptune is a fast, scalable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing hundreds of billions of relationships and querying with milliseconds latency, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune works actively with the Apache TinkerPop Gremlin open-source project. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, network security, and many more. Amazon Neptune is built for cloud scalability, durability, availability, and performance. To learn more about Amazon Neptune visit: https://aws.amazon.com/neptune/ Key job responsibilities We are looking for an experienced, self-motivated software development engineer who is excited to solve database problems and proficient in C++ or similar languages. You will design and deliver new algorithms and features that drive Neptune's high availability, reliability and performance guarantees to AWS customers. You will participate in project execution to develop database service capabilities while working with amazing team members. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help
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TITLE: Engineer I (Lab Testing & Operations)
EMPLOYER: Amgen
LOCATION: US - Massachusetts - Cambridge (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Massachusetts---Cambridge/Engineer-I--Lab-Testing---Operations-_R-245063
EXCERPT: Engineer I (Lab Testing & Operations) US - Massachusetts - Cambridge posted: Posted 25 Days Ago
---
TITLE: Abbott Ambassador - Core Lab (Madrid)
EMPLOYER: Abbott Laboratories
LOCATION: Spain - Madrid (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Spain---Madrid/Abbott-Ambassador---Core-Lab--Madrid-_31152388-1
EXCERPT: Abbott Ambassador - Core Lab (Madrid) Spain - Madrid posted: Posted 2 Days Ago
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TITLE: System Verification/Validation Engineer , (emulation/silicon)
EMPLOYER: Amazon
LOCATION: Haifa, Haifa, ISR (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-07
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3154247/system-verification-validation-engineer-emulation-silicon
EXCERPT: System Verification/Validation Engineer , (emulation/silicon) Haifa, Haifa, ISR Annapurna Labs is looking for talented and experienced engineers to join the System Verification team and help solve and technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of state-of-the-art products within a disruptive system architecture. You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion
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TITLE: Senior Computer Vision and Machine Learning Research Scientist
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $160K-$256K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7761541003
EXCERPT: Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this
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TITLE: CHK Automotive Lab technician， AMTPP
EMPLOYER: 3M
LOCATION: CN, Shanghai (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://3m.wd1.myworkdayjobs.com/Search/job/CN-Shanghai/CHK-Automotive-Lab-technician--AMTPP_R01164528
EXCERPT: CHK Automotive Lab technician， AMTPP CN, Shanghai posted: Posted 30+ Days Ago
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TITLE: Senior Computer Vision and Machine Learning Research Scientist
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $160K-$256K
POSTED: 2025-12-16
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7563078003
EXCERPT: Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this
---
TITLE: Engineering Manager – Environmental Test Lab
EMPLOYER: Leidos
LOCATION: Huntsville, AL (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Engineering-Manager---Environmental-Test-Lab_R-00185149
EXCERPT: Engineering Manager – Environmental Test Lab Huntsville, AL posted: Posted 2 Days Ago
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TITLE: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-03-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3193440/sr-soc-verification-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have
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TITLE: Director, Lab Operations
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Director--Lab-Operations_R0407788
EXCERPT: Director, Lab Operations 00300 - Davita Laboratory Services posted: Posted 30+ Days Ago
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TITLE: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 171K-286K
POSTED: 2025-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3006845/software-development-manager-ml-performance-tooling-and-benchmarking-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. 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. When you couple that with the ability to work on so many different products and services, it's a
---
TITLE: Clinical Support I (Lab)
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Clinical-Support-I--Lab-_R0463155
EXCERPT: Clinical Support I (Lab) 00300 - Davita Laboratory Services posted: Posted 2 Days Ago
---
TITLE: AEM Full StackDeveloper
EMPLOYER: Rockwell Automation
LOCATION: Mexico Monterrey (Torre Aurum) (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Mexico-Monterrey-Torre-Aurum/React-Developer_R25-10189
EXCERPT: AEM Full StackDeveloper Mexico Monterrey (Torre Aurum) posted: Posted 3 Days Ago
---
TITLE: Sr Manager, Laboratory (Lab)
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Sr-Manager--Laboratory--Lab-_R0458943-1
EXCERPT: Sr Manager, Laboratory (Lab) 00300 - Davita Laboratory Services posted: Posted 23 Days Ago
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TITLE: Senior Machine Learning Engineer
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $151K-$241K
POSTED: 2026-03-06
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7583232003
EXCERPT: Senior Machine Learning Engineer Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Are you eager to contribute to building AI products impacting the world for the greater good? As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company's mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon's products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud. As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding. What You'll Do Location: Hybrid from our office in Seattle, Washington. Reports to: Manager, Machine Learning Engineering - Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping
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TITLE: Sr Mgr Global Procurement- Lab Consumables
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Sr-Mgr-Global-Procurement--Lab-Consumables_R44951
EXCERPT: Sr Mgr Global Procurement- Lab Consumables TARRYTOWN posted: Posted 4 Days Ago
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TITLE: Senior Machine Learning Scientist
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $160K-$256K
POSTED: 2026-02-09
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7624679003
EXCERPT: Senior Machine Learning Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) - US: Seattle, Boston, Scottsdale Responsibilities - Own one or more key technical areas across LLM, MLLM, CV product portfolio. - Provide technical leadership to junior scientists, guiding the transition of R&D concepts
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TITLE: IATD AE Lab Testing Summer Intern
EMPLOYER: 3M
LOCATION: CN, Shanghai (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://3m.wd1.myworkdayjobs.com/Search/job/CN-Shanghai/IATD-AE-Lab-Testing-Summer-Intern_R01165418
EXCERPT: IATD AE Lab Testing Summer Intern CN, Shanghai posted: Posted 28 Days Ago
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TITLE: Software Dev Engineer, EC2 Nitro, EC2 Nitro Machine Learning Systems
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-04-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10402844/software-dev-engineer-ec2-nitro-ec2-nitro-machine-learning-systems
EXCERPT: Software Dev Engineer, EC2 Nitro, EC2 Nitro Machine Learning Systems Seattle, Washington, USA The EC2 Nitro platform powers the world's largest, fastest-growing, and most feature-rich cloud computing environment. Designed by AWS from the ground up, Nitro leverages a fully customized stack of hardware, firmware, and software to deliver unparalleled virtualization at a global scale. Within the EC2 Nitro organization, the MLS team is tasked with developing the next generation of EC2 Supercomputers, optimized for high-performance training and inference workloads. We are looking for an experienced software engineer to drive development for new EC2 machine learning platforms. In this role, the engineer will work with a broad and deep group of technical teams that develop hardware, firmware, systems and application software etc. The ideal candidate is expected to have solid understanding of computer science fundamentals, and expertise in C/C++ or Rust development in a Linux environment. Experience with Linux package management, version control systems, automated build processes, and software unit testing are required. In-depth knowledge of ML frameworks and cluster management is highly preferred. About the team 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. 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
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TITLE: Principal IT Lab Integration Developer
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: RENSS - GLOBAL VIEW (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/RENSS---GLOBAL-VIEW/Principal-IT-Lab-Integration-Developer_R45570
EXCERPT: Principal IT Lab Integration Developer RENSS - GLOBAL VIEW posted: Posted 4 Days Ago
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TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-03-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3205794/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-team-annapurna-labs
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. 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. Key job responsibilities - As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications. - Integrate multiple subsystems into top level SOC,
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TITLE: Associate Test & Evaluation Lab Tech
EMPLOYER: The Boeing Company
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/USA---Berkeley-MO/Associate-Test---Evaluation-Lab-Tech_JR2026509487
EXCERPT: Associate Test & Evaluation Lab Tech 2 Locations posted: Posted 9 Days Ago
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TITLE: AI Engineer / Architect-IFS Cloud
EMPLOYER: Rockwell Automation
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Wisconsin-United-States/AI-Engineer---Architect-IFS-Cloud_R25-10110
EXCERPT: AI Engineer / Architect-IFS Cloud 4 Locations posted: Posted Yesterday
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TITLE: Global Lab and System Commissioning Manager
EMPLOYER: GE Vernova
LOCATION: 7 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Stafford/Global-Lab-and-System-Commissioning-Manager_R5019075
EXCERPT: Global Lab and System Commissioning Manager 7 Locations posted: Posted 30+ Days Ago
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TITLE: ML Accelerator Performance Validation Engineer, Post Silicon Validation
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10434988/ml-accelerator-performance-validation-engineer-post-silicon-validation
EXCERPT: ML Accelerator Performance Validation Engineer, Post Silicon Validation Austin, Texas, USA Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Post-Silicon Validation team to quantify and qualify the performance of AWS's custom ML training chips against architectural targets. You'll bridge the gap between silicon capabilities and real-world ML workload demands - ensuring our accelerators deliver on latency, throughput, and efficiency promises at cloud scale. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on next generation AI/ML hardware that powers AWS's training and inference infrastructure. Your analysis will directly shape architectural decisions for next-generation accelerators and determine when silicon is ready for production deployment. Key job responsibilities Design and execute performance benchmarks spanning micro-architectures to full model training Measure and analyze compute throughput, memory bandwidth, interconnect latency, and more Profile real ML workloads (transformer models, LLMs, vision models) on silicon Identify performance bottlenecks and work with architecture teams on optimization Build automated performance regression dashboards and tracking infrastructure Correlate silicon measurements against RTL simulation and emulation predictions A day in the life Your primary focus is measuring and understanding how our AI chips perform under real workloads. You'll spend mornings digging into benchmark results - figuring out where cycles are being lost
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TITLE: Technical Lead, Corp Compliance (Lab)
EMPLOYER: DaVita
LOCATION: 09596 - Tennessee Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/09596---Tennessee-Remote/Technical-Lead--Corp-Compliance--Lab-_R0463111
EXCERPT: Technical Lead, Corp Compliance (Lab) 09596 - Tennessee Remote posted: Posted 2 Days Ago
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TITLE: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-04-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10389921/sr-mla-dv-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have
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TITLE: Process Research Lab Associate Researcher
EMPLOYER: The Procter & Gamble Company
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/WHBC---WINTON-HILL-BUS-CENTER/Process-Research-Lab-Associate-Researcher_R000150870
EXCERPT: Process Research Lab Associate Researcher 2 Locations posted: Posted 30+ Days Ago
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TITLE: Applied Scientist, End User Messaging, AWS Applied AI Solutions Core Services
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-02-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3190735/applied-scientist-end-user-messaging-aws-applied-ai-solutions-core-services
EXCERPT: Applied Scientist, End User Messaging, AWS Applied AI Solutions Core Services Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we're advancing the frontier of trust and safety systems for cloud-based communication services. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're building sophisticated AI systems that protect infrastructure from evolving threats while enabling legitimate high-volume users to operate without friction, with messaging services at scale as a key application area. Key job responsibilities - Develop advanced machine learning approaches and agentic systems that autonomously adapt to evolving threat patterns across cloud communication services - Create behavioral detection models that quickly identify malicious patterns after onboarding rather than creating friction during signup - Design intelligent resource allocation algorithms that optimize service delivery based on real-time feedback - Develop frameworks operating at scale across diverse usage patterns, analyzing hundreds of thousands of daily active customers - Research novel approaches combining AI agents with trust and safety systems to solve complex security problems - Collaborate with engineering teams to integrate science components into production systems - Conduct rigorous experimentation and establish evaluation frameworks to measure solution performance A day in the life As an Applied Scientist, you'll develop fraud detection algorithms and AI-powered security systems while maintaining a clear path to customer impact. You'll investigate novel approaches to behavioral analysis, develop methods for real-time reputation
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TITLE: Lab Operations Technician I
EMPLOYER: Medtronic
LOCATION: North Haven, Connecticut, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 24 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://medtronic.wd1.myworkdayjobs.com/medtroniccareers/job/North-Haven-Connecticut-United-States-of-America/Lab-Operations-Technician-I_R68910-1
EXCERPT: Lab Operations Technician I North Haven, Connecticut, United States of America posted: Posted Yesterday
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TITLE: AI Scientist I
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $130K-$208K
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7746492003
EXCERPT: AI Scientist I Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data. What You'll Do Location: Seattle, WA Reports to: Senior Manager, Research Science - Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and
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TITLE: Supervisor II, Laboratory (Lab)
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Supervisor-II--Laboratory--Lab-_R0415891
EXCERPT: Supervisor II, Laboratory (Lab) 00300 - Davita Laboratory Services posted: Posted 30+ Days Ago
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