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: Grafana 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: 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: 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: 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: Sr. Software Engineer, EFA Network ML Software Team - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $168K-$227K
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/10389767/sr-software-engineer-efa-network-ml-software-team-annapurna-labs
EXCERPT: Sr. Software Engineer, EFA Network ML Software Team - Annapurna Labs Seattle, Washington, USA Want to help make the next generation of Machine Learning in the cloud possible? Do you have a laser focus on performance in your team's code? We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads. Lead a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today. Key job responsibilities You will help lead a team of obsessed networking developers operating at the highest levels in networking. You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world. A day in the life Start from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Drive your peers and leadership to accept your excellent written designs. Work
---
TITLE: Software Engineer II, Annapurna Labs ML Acceleration System Software
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
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/10407389/software-engineer-ii-annapurna-labs-ml-acceleration-system-software
EXCERPT: Software Engineer II, Annapurna Labs ML Acceleration System Software Austin, Texas, 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team
---
TITLE: AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-03-19
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)
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/10370980/ai-hardware-systems-engineer-annapurna-labs-trainium-machine-learning-fleet-operations
EXCERPT: AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations Austin, Texas, 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. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world. We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations. Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us! Key job responsibilities - Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products - Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS - Implement
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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: 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
---
TITLE: Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-04-14
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/10391904/sr-mla-design-verification-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr MLA Design 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
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TITLE: Software Engineer II, Annapurna Labs ML Acceleration Systems Software
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-04-30
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/10408416/software-engineer-ii-annapurna-labs-ml-acceleration-systems-software
EXCERPT: Software Engineer II, Annapurna Labs ML Acceleration Systems Software Austin, Texas, 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server
---
TITLE: Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $127K-$185K
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/10434242/software-development-engineer-testing-infrastructure-performance-trainium-neuron-annapurna-labs
EXCERPT: Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs Cupertino, California, USA The Neuron team within Annapurna ML develops the software stack that powers AWS's custom AI training and inference chips (Trainium, Inferentia). Our team builds and operates the testing infrastructure and performance characterization systems that ensure every release meets quality and performance bars before reaching customers. We directly enable the velocity and reliability of Neuron software releases. We are looking for a Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. You will build data pipelines that collect, process, and surface performance metrics - and dashboards that give engineers and leadership real-time visibility into regression detection, performance trends, and release readiness. Your work directly impacts how fast we ship high-quality software to customers running ML workloads on Trainium. Key job responsibilities - Design, build, and maintain automated testing infrastructure (Python) that validates Neuron compiler, runtime, and framework integrations across hardware targets - Build and operate data pipelines that ingest performance benchmarks, test results, and system metrics from distributed test runs into centralized data stores - Develop performance dashboards that surface regression detection, trend analysis, and release-readiness signals to engineering teams and leadership - Create and maintain integration test frameworks that validate end-to-end model compilation, execution, and performance across Trainium configurations - Build automated alerting and triage tooling that identifies performance regressions early and routes them to the right owners - Collaborate with Compiler,
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TITLE: Lead Engineer, ML Network Stack - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
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/3190812/lead-engineer-ml-network-stack-annapurna-labs
EXCERPT: Lead Engineer, ML Network Stack - Annapurna Labs Cupertino, California, USA We are seeking an experienced engineer and technical leader to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued. If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. This is a role for a technical lead with the expectation to grow into a technical manager role. We are specifically seeking candidates who want to develop their career as a technical manager. The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. Key job responsibilities Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive
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TITLE: Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-04-09
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://www.amazon.jobs/en/jobs/10387516/software-engineer-ml-acceleration-annapurna-labs-ml-acceleration-system-software
EXCERPT: Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software Austin, Texas, USA In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We help to maintain and manufacture the most advanced servers in the world. We touch technologies from the accelerator inner-workings to the I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C/C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix
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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: Applied Scientist II, GenAI Evaluation Media (GEM)
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-28
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/10433759/applied-scientist-ii-genai-evaluation-media-gem
EXCERPT: Applied Scientist II, GenAI Evaluation Media (GEM) Seattle, Washington, USA The North America Stores GenAI Evaluation Media (GEM) team is seeking an Applied Scientist to help shape the future of visual shopping experiences. We're building CXs and foundational capabilities to understand, enhance, and generate real-time GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media. Specifically, the charter will focus on visual agentic experiences, multi-modal personalization, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences. As an Applied Scientist on the team, you will drive the research and development of agentic AI capabilities that inform and guide the customer's shopping journey through visuals. This includes building core science primitives for multimodal understanding, visual content generation and editing, personalized virtual try-on, and automated quality assurance. You will develop the foundational capabilities that enable customers to express and discover styles through multimodal conversation and receive personalized, visual responses that bring their ideas to life. Your scientific approach will emphasize accurate, real-time visual understanding and generation, contextual understanding, and scalable personalization, enabling agentic AI to actively collaborate with customers to achieve their style goals. You will bring together computer vision, natural language processing, generative AI, and human-centered design to create agentic shopping experiences that are as intuitive as talking to a human specialist with a deep domain knowledge base. Success requires establishing robust metrics, collaborating with cross-functional partners, validating asset effectiveness across diverse customer touch points,
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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: 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 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
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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: 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: 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: 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: 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: Senior Member of Technical Staff, AI Research
EMPLOYER: Salesforce
LOCATION: California - Palo Alto; California - San Francisco (unspecified)
SALARY: $179K-$246K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr333832/senior-member-of-technical-staff-ai-research/
EXCERPT: Senior Member of Technical Staff, AI Research California - Palo Alto; California - San Francisco Salesforce AI Research is looking for a Machine Learning Engineer to incubate next-generation agentic AI platform. You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers. With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond. We are looking for candidates who Has exceptional engineering skills. Has deep ML knowledge with meaningful implementation track records. Prioritize deep and strategic thinking. Has dedication, patience and resilience to build exceptional product experience. Collaborative and win with teams. Proactive and bias to action, comfortable in fast-pacing environment. Competitive coding winner (ACM-ICPC, etc). Startup founders in agentic AI, LLM, area (e.g., YC backed startup) Programming & Systems: Strong proficiency in Python; solid experience with C++ and/or Java Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately
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TITLE: Senior Manager, Analog IP Design , Analog IP Design
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)
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/10419873/senior-manager-analog-ip-design-analog-ip-design
EXCERPT: Senior Manager, Analog IP Design , Analog IP Design Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, an Amazon company, is seeking an exceptional an exceptional leader to build and lead our next-generation internal Analog IP design team. This is a unique opportunity to create a world-class analog design center from the ground up, developing the critical IP blocks that power all of our custom silicon products, including Graviton (server CPUs) and Nitro (networking/security accelerators). At Annapurna Labs, we think big in both scale and scope. We are building internal capabilities for cutting-edge analog IP that will define the next era of cloud infrastructure silicon. This role is an opportunity to shape the analog IP strategy across all our products and lead the team that delivers it. Key job responsibilities Build the team: Recruit, hire, and develop a world-class analog/mixed-signal design team from the ground up. Define the org structure, roles, and growth path. Define the IP strategy: Own the analog IP roadmap across all Annapurna Labs products. Evaluate build vs. buy decisions and drive internal capability development. Drive execution: Lead the full design cycle from architecture through silicon validation - spec, schematic, layout, simulation, tapeout, and bring-up. Collaborate cross-functionally: Partner with SoC architecture, digital design, physical design, DFT, packaging, and system teams to integrate analog IP seamlessly. Set technical direction: Define design methodologies, flows, and best practices. Evaluate and select EDA tools, PDKs, and foundry processes. Innovate at scale: Develop IP that is reusable, portable across process nodes, and designed
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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: 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: 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: Applied Scientist, Sales AI
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 149K-249K
POSTED: 2026-02-24
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/3188595/applied-scientist-sales-ai
EXCERPT: Applied Scientist, Sales AI Toronto, Ontario, CAN Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day! Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating AI agents that help optimize their end-to-end workflows, and developing actionable insights and recommendations they can share with their advertising accounts As an Applied Scientist on the team with a specific focus on creating autonomous AI agents that can operate accurately at large scale, you will bring deep expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models (inc. foundation model fundamentals, post-training, reward modeling, RAG, transformer architecture), Deep Learning, Reinforcement Learning and/or Recommender Systems. You have the scientific and technical skills to build and refine models that can be implemented in production and you continuously measure the performance of your
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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: (Fall 2026) Annapurna Labs at AWS Internship (US) - Machine Learning Systems & Silicon Innovation
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $127K-$185K
POSTED: 2026-04-22
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/10400153/fall-2026-annapurna-labs-at-aws-internship-us-machine-learning-systems-silicon-innovation
EXCERPT: (Fall 2026) Annapurna Labs at AWS Internship (US) - Machine Learning Systems & Silicon Innovation Cupertino, California, USA What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution, we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing. We're seeking bold innovators and builders for our Fall 2026 internship program. At Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization. Some of our technical placements include: - Framework Optimization (PyTorch, JAX) - Compiler Development & Optimization - Distributed Training Systems - Performance Engineering - ML Infrastructure Development - Firmware & Driver Development - Runtime Systems - Fleet Management & Automation - Hardware/Software Integration - Performance Analysis Tools - RTL Development for ML Accelerators - Hardware Architecture & Modeling - Physical Design & Power Optimization - Custom Circuit Design - Pre/Post Silicon Validation Your placement will be determined through our interview process, taking into account your technical background, interests, and the exciting projects we have in development. One application opens the door to all
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TITLE: Software Development Engineer II, EFA Network - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-04-15
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/10392430/software-development-engineer-ii-efa-network-annapurna-labs
EXCERPT: Software Development Engineer II, EFA Network - Annapurna Labs Seattle, Washington, USA Want to help make the next generation of Machine Learning in the cloud possible? Do you have a laser focus on performance in your code? We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads. Be a part of a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today. Key job responsibilities You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world. A day in the life Start from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Get your peers and stakeholders on board with excellent written designs. Write comprehensive tests to drive the development of new features and guard against regressions. Work with our ML
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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: 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: 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
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TITLE: Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
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)
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/10444238/embedded-firmware-engineer-annapurna-labs-ml-acceleration-systems-software
EXCERPT: Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software Austin, Texas, 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server
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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: 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: 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: 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: Machine Learning Platform Engineer
EMPLOYER: Salesforce
LOCATION: Mexico - Mexico City (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr341270/machine-learning-platform-engineer/
EXCERPT: Machine Learning Platform Engineer Mexico - Mexico City About the Role We are seeking a highly skilled and motivated Lead AI Platform Engineer to play a pivotal role in the development of our ML/AI platform. This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches. You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization. This isn't a traditional infrastructure role. You should be open to wearing multiple hats ; infrastructure, software engineering, UI/UX development, and AI-native tooling. We're looking for engineers who don't just build platforms for AI , they use AI to build the platform. You ship faster because you've made Claude Code, autonomous agents, and AI-powered developer tools part of your daily workflow, not an experiment you're still evaluating. We want innovative, out-of-the-box thinkers who aren't afraid to experiment, build complex systems, and tackle challenges across the full stack with AI as the force multiplier at every layer. What You'll Do AI-Native Engineering & Developer Velocity Use Claude Code (CLI) as a primary engineering tool writing, refactoring, debugging, and reviewing infrastructure and platform code with AI pair programming as the default, not the exception. Build and publish reusable AI tools, skills, and integrations in internal tool marketplaces so that platform capabilities are discoverable and reusable across engineering teams. Design and deploy autonomous agents that accelerate developer workflows, self-healing CI pipelines,
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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: Design Verification Engineer, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 105K-175K
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)
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/10425152/design-verification-engineer-annapurna-labs
EXCERPT: Design Verification Engineer, Annapurna Labs Toronto, Ontario, CAN Amazon is the world's most comprehensive and broadly adopted cloud platform, and our Custom Silicon organization is revolutionizing how we deliver cloud services to our customers. You'll be part of a team that drives innovation in custom chip development, directly impacting the future of cloud computing. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be developing hardware solution for AWS data center including AWS Inferentia,Trainium systems - custom designed machine learning data center accelerator. We are looking for a passionate Design Verification Engineer to join our newly formed team responsible for verifying high-speed I/O and scale-up/out components across the SoC. You will take full ownership of delivering comprehensive verification solutions at a sub-system/chip level, with strong emphasis on system-wide implications and interactions. This role requires developing and implementing verification environments using state-of-the-art simulation methodology. You will create robust test scenarios and collaborate closely with design, architecture, and software teams to ensure thorough coverage of hardware-software interfaces and cross-module functionality. Key job responsibilities - Own the development and execution of verification plans for components at sub-system and chip levels - Build and implement verification environments using advanced simulation methodologies and industry-standard tools - Define, create and execute comprehensive test scenarios covering system-level flows, critical paths, and corner cases - Drive coverage closure and verification sign-off to ensure high-quality, tape-out ready design About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our
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TITLE: SMTS/LMTS Full Stack Software Engineer, Tableau Next
EMPLOYER: Salesforce
LOCATION: California - San Francisco; Washington - Seattle (unspecified)
SALARY: $179K-$286K
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/
EXCERPT: SMTS/LMTS Full Stack Software Engineer, Tableau Next California - San Francisco; Washington - Seattle We are part of the Tableau organization, driven by a mission to help people see, understand, and act on data. Our goal is to empower users by transforming complex data into clear, visual insights that drive informed decision-making.Our team is shaping the next generation of analytics, delivering seamless, interactive visualization experiences embedded directly into user workflows and integrated with modern platforms to enhance engagement and collaboration. We strive to support effective decision-making and enable timely actions through intuitive and powerful analytics tools. Beyond serving data professionals, we have a unique opportunity to innovate with Generative AI-powered intelligence experiences designed for business users. This enables organizations to extend the reach of data-driven insights to a significantly broader audience, making data more accessible and actionable than ever before. We are seeking a Senior/Lead Software Engineer to play a pivotal role in shaping the Agentic and Visualization Experiences for the next-generation of Tableau(aka Tableau Next). In this role, you will drive the design and development of high-performance, scalable, and extensible platforms, enabling seamless and interactive analytical experiences.You will collaborate closely with UX designers, backend engineers, and product teams to create intuitive, insightful, and visually compelling analytics solutions. If you're passionate about data visualization, graphics performance, and Agentic Analytics, this is an opportunity to make a significant impact on the future of analytics and data storytelling. Responsibilities: Architect and develop core visualization components and frameworks for the next-gen Tableau product,
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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: Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-05-04
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/2972788/sr-pd-methodology-engineer-annapurna-labs-cloud-scale-machine-learning
EXCERPT: Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning Austin, Texas, USA Annapurna Labs (our organization within AWS Utility Computing) 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. 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. 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, Trainium Systems (our custom designed machine learning inference and training datacenter servers). 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 Physical Design Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities Define, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes Drive Optimizations in CAD flows/methodologies for PPA and TAT improvements
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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: 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: 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: Applied Scientist, SPX AI Lab
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
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/3193573/applied-scientist-spx-ai-lab
EXCERPT: Applied Scientist, SPX AI Lab Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Amazon Seller
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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: Applied Scientist, Shopping Convo Foundations - Pre-purchases Science
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2026-05-06
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/10412778/applied-scientist-shopping-convo-foundations-pre-purchases-science
EXCERPT: Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Santa Clara, California, USA The Shopping Convo Foundations Team - Pre-purchases Science is looking for an Applied Scientist with expertise in Artificial Intelligence and Machine Learning to drive scientific innovation that expands Amazon's product catalogue. Our goal is to leverage AI/ML solutions to enhance catalogue coverage with high precision. In this role, you will research and develop novel machine learning approaches to solve complex catalogue expansion and product attribute challenges. You will design and develop state-of-the-art ML models, conduct rigorous experimentation, and translate scientific breakthroughs into production-ready solutions. You will work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to
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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: 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: Computer Vision Scientist, International Machine Learning, Australia
EMPLOYER: Amazon
LOCATION: Melbourne, Victoria, AUS (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-05
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/3121226/computer-vision-scientist-international-machine-learning-australia
EXCERPT: Computer Vision Scientist, International Machine Learning, Australia Melbourne, Victoria, AUS ** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog - Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content - Design, build, and evaluate generative AI models tailored to our business use cases - Communicate clearly with business stakeholders to understand and align on requirements - Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at
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TITLE: Applied Scientist
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-03-20
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)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10372619/applied-scientist
EXCERPT: Applied Scientist Seattle, Washington, USA At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity-from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data-while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to
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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
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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
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TITLE: Machine Learning Performance Engineer, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified)
SALARY: Not disclosed
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/3138794/machine-learning-performance-engineer-annapurna-labs
EXCERPT: Machine Learning Performance Engineer, Annapurna Labs Tel Aviv-Yafo, Tel Aviv, ISR Our team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators - Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud. We're building a new core group of engineers in TLV (Tel Aviv) to drive innovation in ML systems performance and software. As a Machine Learning Performance Engineer, you'll help shape the direction of the team from the ground up and work on: Optimizing system performance across the entire ML software stack Analyzing high-performance ML workloads running on Annapurna hardware Developing high-performance kernels for critical ML operations Enhancing the Neuron SDK to improve developer experience and system capabilities Collaborating across Compiler, Frameworks, and Hardware teams to maximize end-to-end performance As part of the Performance Engineering Team, you'll contribute to projects involving instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements to maximize end-to-end performance. This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure - right here in Tel Aviv. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance,
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TITLE: Sr. Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $168K-$227K
POSTED: 2026-05-19
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/10423922/sr-embedded-firmware-engineer-annapurna-labs-ml-acceleration-systems-software
EXCERPT: Sr. Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software Austin, Texas, 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. The Machine Learning Systems Firmware Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Develop firmware to initialize, monitor, and manage custom machine learning accelerators at AWS scale. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused.
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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
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TITLE: Applied Scientist II, Annapurna ML
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2026-04-17
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/10395019/applied-scientist-ii-annapurna-ml
EXCERPT: Applied Scientist II, Annapurna ML Cupertino, 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 Inferentia, the
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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
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TITLE: Software Development Engineer, System and Embedded PCIe and Neuron Link
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-21
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/10427134/software-development-engineer-system-and-embedded-pcie-and-neuron-link
EXCERPT: Software Development Engineer, System and Embedded PCIe and Neuron Link Austin, Texas, 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. We're looking to hire a Software Development Engineer that will: - Develop mission-critical software that powers Annapurna Labs' next-generation machine learning platforms' interconnect (PCIe and Neuron Link) - Collaborate with EC2 teams and manufacturing partners to ensure seamless system integration - Drive end-to-end qualification processes for new hardware implementations Technologies useful to this role include operating systems, Linux architecture, embedded systems, and control systems. Our team uses, C, C++, Lua, Bash, Python and other similar languages to develop device drivers, and develop automation software. Key job responsibilities As a member of the Annapurna Labs Machine Learning PCIe and Neuron Link engineering team, you will develop software to enable and monitor Annapurna accelerated compute servers and EC2 systems handling customer Machine Learning workloads in AWS Data Centers world wide. You will work closely with hardware engineers to bring up new boards, custom silicon devices, and servers for EC2 accelerated computing instances. You will provide inputs to architects on the development of custom silicon and system features. You will develop automated software test and deployment pipelines to ensure software quality, compatibility, 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
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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
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TITLE: Applied Scientist II, Ads AI Core Infrastructure
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-20
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)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3185729/applied-scientist-ii-ads-ai-core-infrastructure
EXCERPT: Applied Scientist II, Ads AI Core Infrastructure Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering AI-powered solutions that transform how advertisers make strategic decisions. We deliver billions of ad impressions and process massive volumes of advertiser data every single day. You'll work with us to pioneer breakthrough approaches in how AI agents access and reason over real-time advertiser data at scale. We are using generative AI and agentic systems to help advertising agents provide instant, strategic advice to millions of advertisers. You will need to invent new techniques for agent orchestration, context optimization, and code generation to ensure we're delivering accurate, trustworthy insights with minimal latency and token consumption. You'll create feedback loops to ensure our solutions are constantly evaluating themselves and improving. The Ads Real-Time Data Service team is seeking an exceptional Applied Scientist to research and develop novel approaches for agent-data interaction. The Ads Real-Time Data Service team is solving one of the most critical challenges in advertising AI: instant access to advertiser context. We're building the infrastructure that provides immediate, pre-computed access to advertiser data via Model Context Protocol (MCP) servers-an emerging standard for AI agent-data interaction. We're building summarized data for context using a mix of state of the art techniques like CodeAct and RAG-based embeddings, achieving a fundamental transformation in how AI agents interact with data. This role balances applied research (60%) with productionization (40%), giving you the opportunity to both advance the
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TITLE: SDE II, ML Infra Services, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
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)
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/10432390/sde-ii-ml-infra-services-annapurna-labs
EXCERPT: SDE II, ML Infra Services, Annapurna Labs Seattle, Washington, USA Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute. Key job responsibilities This engineer will lead the design and implementation of this new toolset, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators. A day in the life As you
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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
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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: Senior AI Research Scientist
EMPLOYER: Axon Enterprise
LOCATION: Belgium (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-05
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/7549463003
EXCERPT: Senior AI Research Scientist Belgium 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 ) - EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities - Own one or more key technical areas across LLM, MLLM, CV product portfolio. - Provide technical leadership to junior scientists, guiding the transition of
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TITLE: Applied Scientist, Sponsored Products
EMPLOYER: Amazon
LOCATION: Arlington, Virginia, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-08
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/10385985/applied-scientist-sponsored-products
EXCERPT: Applied Scientist, Sponsored Products Arlington, Virginia, USA About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. As an Applied Scientist
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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: 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
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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: 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
---
TITLE: Applied Scientist, Trust CX Innovations&AI Policy
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-27
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/10404195/applied-scientist-trust-cx-innovations-ai-policy
EXCERPT: Applied Scientist, Trust CX Innovations&AI Policy Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+. As an Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. Key job responsibilities - Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities - Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning - Pioneer new methods for AI safety, alignment, and responsible AI development - Design and execute sophisticated experiments to evaluate model performance and behavior - Lead the development of production-ready AI solutions that scale efficiently - Collaborate with product teams to translate research innovations into practical applications - Guide engineering teams in implementing AI models and systems at scale - Author technical papers for top-tier conferences - File patents for novel AI technologies and applications A day in the life You will be working with a group of talented scientists on researching
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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: 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: Senior Applied Scientist, Annapurna ML
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $192K-$260K
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/10388673/senior-applied-scientist-annapurna-ml
EXCERPT: Senior Applied Scientist, Annapurna ML Seattle, Washington, USA The Annapurna ML team is looking for a Senior Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of Annapurna innovation for advanced ML capabilities, and is the underpinning of Generative AI. As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted scientist, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job
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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: Applied Research Engineer
EMPLOYER: Salesforce
LOCATION: California - San Francisco; Washington - Seattle; Illinois - Chicago; Texas - Austin; Georgia - Atlanta; New York - New York; Indiana - Indianapolis (unspecified)
SALARY: $179K-$286K
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr345355/applied-research-engineer/
EXCERPT: Applied Research Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; Texas - Austin; Georgia - Atlanta; New York - New York; Indiana - Indianapolis About the Team Salesforce AI is looking for talented software and platform engineers to embed in our AI team to bridge the gap between frontier AI technology and customer-facing reality. Do you want to build and deploy the next generation of services leveraging Generative AI and Agentic Systems? Do you thrive in an environment where your engineering skills directly enable world-class research and products used by millions? At Salesforce, we are driving the development of Generative AI for CRM, focused on delivering AI-created content across every customer interaction at hyper-scale. This role is crucial to transforming our research breakthroughs into stable, secure, and production-ready applications. The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high-impact systems role, providing the best of both worlds: deep technical challenge and massive, real-world scale. We believe that building substantive, scalable infrastructure is what enables scientific breakthroughs to spawn entirely new applications. Learn more about our work at salesforceairesearch.com . What You'll Do Work alongside other motivated and talented research engineers to bring cutting-edge theory into customer-facing practice. Build tools and pipelines to support ML and AI efforts. Design, build, deploy, and maintain production services, like APIs, UIs, agentic evaluators, and more. Roll out scalable cloud architectures. Help with end-user requirements gathering and executive presentations. What We're
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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: Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $168K-$227K
POSTED: 2025-05-21
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/2989101/sr-software-engineer-ai-ml-aws-neuron-distributed-training-performance-optimization
EXCERPT: Sr. 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 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: 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: Lead Machine Learning Engineer
EMPLOYER: AbbVie Inc.
LOCATION: Remote | San Diego, CA, United States (remote)
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/3743990013354636-lead-machine-learning-engineer
EXCERPT: Lead Machine Learning Engineer Remote | San Diego, CA, United States Company Description: About AbbVie At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn. Job Description: Responsibilities: Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products Take ownership of objectives and key results for your workstream, and own technical solutions in partnership with your manager Architect and build robust systems to train, deploy, run inference, and monitor Machine Learning and AI systems at scale Champion code quality, reusability, scalability, maintainability, and security, and provide input into strategic architecture decisions Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices Integrate Machine Learning and AI systems with production applications Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community Qualifications: Required Experience & Skills: Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field 7+ years of experience as an engineer specialized building Machine Learning systems 2+ years of technical leadership delivering machine learning solutions in partnership with engineers, scientists,
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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: Mechanical Engineer, Annapurna Labs, Machine Learning Hardware
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
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)
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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware
EXCERPT: Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) 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. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data
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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: Applied Scientist, Brand Protection Machine Learning
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
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)
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/10375257/applied-scientist-brand-protection-machine-learning
EXCERPT: Applied Scientist, Brand Protection Machine Learning Seattle, Washington, USA Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit https://www.amazon.science for more information. Are you an expert in Natural Language Processing (NLP), computer vision Large Language Models (LLM) and multi-modality? Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds high performance AI systems using machine learning and deep learning that identify and prevent infringement and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our AI vision for Brand Protection. As a applied scientist on the team, you will use STOA AI and ML techniques to understand and extract key information from product detail page, built automated AI solutions that thinks like human to make autonomous decisions. You will work backwards from data insights and customer feedback to build the right machine learning solutions, and resourceful in finding innovative solutions to unsolved problems. You will work closely
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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: Senior Applied Scientist, ASCS AI Lab Team
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2025-12-17
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/3144920/senior-applied-scientist-ascs-ai-lab-team
EXCERPT: Senior Applied Scientist, ASCS AI Lab Team Seattle, Washington, USA We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences. Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation. Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store. Key job responsibilities - Design and implement novel AI solutions for Amazon catalog of products - Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models - Build and deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models,
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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: 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
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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: 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 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: 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
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