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: Maya 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: (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: 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: 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)
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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: 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: 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: 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: 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
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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: SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-01-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3152739/sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of
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TITLE: 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: Server Lab Engineer , ML-IL
EMPLOYER: Amazon
LOCATION: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10419821/server-lab-engineer-ml-il
EXCERPT: Server Lab Engineer , ML-IL Tel Aviv-Yafo, Tel Aviv, ISR Machine Learning Israel (MLIL), as part of Annapurna Labs / Amazon, is hiring a Lab Engineer to own and operate the labs that powers the bring-up and validation of our next-generation ML training and inference racks. In this role you will build, maintain, and continuously evolve the lab infrastructure - from bench setups to server racks - used daily by HW, FW, and SW engineers. You will be the go-to person for delivering working, instrumented setups that the R&D teams can pick up and run with. Key job responsibilities • Own the MLIL hardware lab in the Tel-Aviv office: physical layout, power and cooling budget, network topology, cabling, asset tracking, and day-to-day operations. • Build, configure, and connect new lab setups for HW, FW, and SW engineers - including Servers, GPU sleds, PCIe switches, retimers, NICs, and DRAM modules - and deliver them ready for R&D use. • Administer and maintain Linux-based servers and systems, including installation, configuration, and optimization • Manage and configure network services such as DHCP, PXE, and other critical infrastructure components. • Run sanity tests on every delivered setup - boot, PCIe enumeration, basic DRAM check, network reachability - so R&D teams pick up a known-good baseline and can focus on their work. • Write and maintain automation scripts (Python / Bash) for repetitive lab tasks - power cycling, log collection, provisioning, imaging, test-harness setup. • Procure, inventory, and manage lab equipment: bench PSUs, scopes, protocol
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TITLE: Sr. Failure Analysis Engineer, SPICE Lab (Seattle)
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $137K-$186K
POSTED: 2026-01-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3162914/sr-failure-analysis-engineer-spice-lab-seattle
EXCERPT: Sr. Failure Analysis Engineer, SPICE Lab (Seattle) Seattle, Washington, USA SPICE lab (a Seattle-based branch of Amazon's Lab126 subsidiary) is a research and development group partnering with Amazon's most ambitious hardware organizations. SPICE lab supports Amazon's growing portfolio of hardware programs including Prime Air, Leo, Mechatronics, AWS, Annapurna, Lab126 Devices and others. If you are passionate about building the future and want to take part in developing ideas from concept to production, consider joining the SPICE lab team! The Role: The Failure Analysis team leverages science and engineering to improve product reliability and safety, accelerate innovation, and make a direct impact on design through high-quality analysis and expert interpretation of data. This position will support the Annapurna Labs organization by investigating failure mechanisms in enterprise compute and networking assemblies, including thermal solutions. You will develop and execute world-class failure analysis outcomes utilizing electrical fault isolation techniques, physical analysis, spectroscopy, and chemical characterization. A majority of time will be spent in a lab environment, so demonstrated enthusiasm for hands-on work developing and executing lab procedures is key. You will act as the formal liaison between SPICE lab and the Annapurna Labs' cross-functional teams, coordinating failure analysis campaigns, triaging devices from reliability qualifications, and providing guidance on manufacturing and design best practices to drive reliability improvements at scale. Key job responsibilities • Conduct failure analysis utilizing electrical fault isolation techniques, physical analysis, spectroscopy, and chemical characterization. • Consultation on corrective actions, method development, design/manufacturing best practices cross-functionally to drive measurable improvements to
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TITLE: Lab 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: 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: Revenue Operations Coordinator I (Lab)
EMPLOYER: DaVita
LOCATION: 00303 - TRC Lab SGA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00303---TRC-Lab-SGA/ROPS-Coordinator-I--Lab-_R0455765
EXCERPT: Revenue Operations Coordinator I (Lab) 00303 - TRC Lab SGA posted: Posted 16 Days Ago
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TITLE: Lab 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: 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: Innovation Lab Manager, RDPI - Global Engineering
EMPLOYER: Amazon
LOCATION: Westboro, Wisconsin, USA (unspecified)
SALARY: $99K-$160K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10406863/innovation-lab-manager-rdpi-global-engineering
EXCERPT: Innovation Lab Manager, RDPI - Global Engineering Westboro, Wisconsin, USA The RDPI (Robotics Deployment & Packaging Innovation) Global Engineering team is seeking a talented and highly organized Lab Manager to contribute to delivering transformational innovation to the business. You will be part of a dynamic team of engineers with the mission to ensure that robotics technologies maturing through the development pipeline are vetted and tested to identify and resolve issues upstream before large-scale deployment and operation. You will manage the infrastructure and operations for the key innovation lab(s) that designers, engineers, and scientists rely on to invent, prototype, test, and perform experiments on the next generation automation technologies for Amazon fulfillment. You will take end-to-end ownership of these lab facilities to transform them into high-performing centers of excellence. If you are passionate about pioneering new technologies for the real world, innovating, and experimenting to enable delivery of automation systems at scale, we want to talk to you. Key job responsibilities - Manage day-to-day operations of the lab space, including lab user management, shipping & receiving (ranging from single packages to trailer loads), lab cleanliness standards and upkeep, accurate inventory records and re-stocking, lab operating budget management, safety protocols, vendor relationships, capacity planning, and equipment calibration and maintenance. - Maintain accurate lab records, including experiment logs, maintenance schedules, and operational reports; assist in compiling technical documentation for internal and external stakeholders. - Drive continuous improvement in lab operation, equipment utilization, and equipment layout. - Partner with product designers and engineers to
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TITLE: Test Lab Engineer
EMPLOYER: BASF
LOCATION: Country / Location United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://basf.jobs/dark_blue_NA/job/Test-Lab-Engineer/137397-en_US/
EXCERPT: Test Lab Engineer Country / Location United States Now hiring! Test Lab Engineer Wyandotte, MI We are looking for a Test Lab Engineer to join our Performance Materials team in Wyandotte. Come create chemistry with us! The Performance Materials division is at the forefront of the much-needed sustainability transformation in plastics. Our experts co-create products with customers to bring innovations to major industry sectors such as transportation, consumer goods, industrial applications, and construction.These solutions contribute to a sustainable future by pushing the boundaries in thermal resistance, robustness and lightweight applications. We are seeking a professional like you to join our team. In this role, you will be responsible for operating the Cellasto Test Lab which performs testing on Cellasto components in support of the Cellasto Sales & Engineering, Quality Assurance, Manufacturing, and Chemical Development Groups As a Test Lab Engineer, you create chemistry by... Performing static and dynamic testing of Cellasto parts and components using complex mechanical test equipment. Maintaining lab systems such as calibration and preventative maintenance compliant with the expectations of automotive customers. Identifying and resolve test equipment performance issues and breakdowns. Ensuring that diverse customer requirements are met on time within the resource constraints of the lab. If you... Have or actively pursuing a degree in Engineering and/or engineering background and lab skills Possess strong communication skil
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TITLE: Senior QC Lab Manager
EMPLOYER: Pfizer
LOCATION: Singapore - Tuas (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Singapore---Tuas/Senior-QC-Lab-Manager_4955095-1
EXCERPT: Senior QC Lab Manager Singapore - Tuas posted: Posted Yesterday
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TITLE: 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: Applied Scientist, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Cambridge, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442934/applied-scientist-edge-ai-and-science
EXCERPT: Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,
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TITLE: 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: Senior UCIe PHY Expert, MLA Technology
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-04-07
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10385469/senior-ucie-phy-expert-mla-technology
EXCERPT: Senior UCIe PHY Expert, MLA Technology Austin, Texas, USA Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Machine Learning Accelerator (MLA) Technology is seeking a UCIe PHY expert who is interested in diving deep into the definition, design, validation, and data center operation of AWS's next generation machine learning silicon and servers. As a senior member of our technology team, you will have opportunities to participate in the design and execution of UCIe, SERDES, and general high speed analog technologies, with the goal of creating the most stable machine learning platforms within AWS's data centers. A senior UCIE engineer on our team needs to be able to work with vendors and internal design teams, understand UCIe timings and features, write/modify tests at scale, debug fleet wide issues, and collect data from manufacturing and the data center. Our broader team has end to end ownership of some of the most complicated IPs on the most advanced server hardware in the world. We drive complex technical debug efforts involving our IPs and leverage the massive
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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: 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, Inference Serving, AWS Neuron
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2025-09-19
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/3089270/software-development-engineer-ai-ml-inference-serving-aws-neuron
EXCERPT: Software Development Engineer AI/ML, Inference Serving, AWS Neuron Cupertino, California, USA AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference at scale. The Neuron Serving team develops infrastructure to serve modern machine learning models-including large language models (LLMs) and multimodal workloads-reliably and efficiently on AWS silicon. We are seeking a Software Development Engineer to lead and architect our next-generation model serving infrastructure, with a particular focus on large-scale generative AI applications. Key job responsibilities * Architect and lead the design of distributed ML serving systems optimized for generative AI workloads * Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem * Design and implement scalable solutions for both offline and online inference workloads * Lead integration efforts with frameworks such as vLLM, SGLang, Torch XLA, TensorRT, and Triton * Develop and optimize system components for tensor/data parallelism and disaggregated serving * Implement and optimize custom PyTorch operators and NKI kernels * Mentor team members and provide technical leadership across multiple work streams * Drive architectural decisions that impact the entire Neuron serving stack * Collaborate with customers, product owners, and engineering teams to define technical strategy * Author technical documentation, design proposals, and architectural guidelines A day in the life You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve: * Leading
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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: Software Development Engineer, Post Silicon Validation
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
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/10433676/software-development-engineer-post-silicon-validation
EXCERPT: Software Development Engineer, Post Silicon Validation Austin, Texas, USA Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference Your work will span validation of the complete vertical stack-silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on. Key job responsibilities As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle-from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML
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TITLE: Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378117/virtual-platform-software-engineer-annapurna-labs-machine-learning-accelerators-aws
EXCERPT: Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. What you'll do: - Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams - Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently - Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation - Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity - Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale - Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: - You'll own a product that software teams across AWS depend on - they literally can't start development without your virtual platform - The engineering challenges are
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TITLE: 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: Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2026-01-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3162426/senior-virtual-platform-software-engineer-annapurna-labs-machine-learning-accelerators-aws
EXCERPT: Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. What you'll do: - Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams - Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently - Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation - Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity - Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale - Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: - You'll own a product that software teams across AWS depend on - they literally can't start development without your virtual platform - The engineering challenges
---
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: 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
---
TITLE: Applied Science Manager, Alexa Edge AI
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (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)
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/10432005/applied-science-manager-alexa-edge-ai
EXCERPT: Applied Science Manager, Alexa Edge AI Bengaluru, Karnataka, IND Are you ready to build something extraordinary from the ground up? We're looking for a seasoned Applied Science Manager to establish and lead a brand-new team in Bangalore, India, within Alexa Edge AI. This is a rare greenfield opportunity to shape the future of ambient intelligence by pioneering breakthroughs in computer vision, acoustic modeling, and multimodal semantic understanding that will power hundreds of millions of Alexa-enabled devices worldwide. As an Applied Science Manager, you will architect and scale a world-class applied science team that pushes the boundaries of what's possible at the intersection of edge and cloud AI. From enabling seamless Visual ID that recognizes who's in the room, to crafting ultra-low-latency wake word detection that works flawlessly in noisy environments, to building multimodal models that build deep semantic understanding - your work will directly define how Alexa perceives, understands, and interacts with the physical world. You'll operate at the frontier of on-device ML, tackling hard constraints in compute, memory, and power while delivering experiences that feel magical to customers. If you thrive on ambiguity, love building high-performing teams from scratch, and want to ship science that touches millions of lives daily - this is your moment. Key job responsibilities Establish and grow a high-caliber applied science team from the ground up at our new Bangalore site, defining the team's charter, culture, hiring bar, and technical roadmap Recruit, mentor, and develop top-tier scientists and engineers across computer vision, speech/acoustics, and multimodal
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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: 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
---
TITLE: ML Accelerator Performance Validation Engineer, Post Silicon Validation
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10434988/ml-accelerator-performance-validation-engineer-post-silicon-validation
EXCERPT: ML Accelerator Performance Validation Engineer, Post Silicon Validation Austin, Texas, USA Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Post-Silicon Validation team to quantify and qualify the performance of AWS's custom ML training chips against architectural targets. You'll bridge the gap between silicon capabilities and real-world ML workload demands - ensuring our accelerators deliver on latency, throughput, and efficiency promises at cloud scale. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on next generation AI/ML hardware that powers AWS's training and inference infrastructure. Your analysis will directly shape architectural decisions for next-generation accelerators and determine when silicon is ready for production deployment. Key job responsibilities Design and execute performance benchmarks spanning micro-architectures to full model training Measure and analyze compute throughput, memory bandwidth, interconnect latency, and more Profile real ML workloads (transformer models, LLMs, vision models) on silicon Identify performance bottlenecks and work with architecture teams on optimization Build automated performance regression dashboards and tracking infrastructure Correlate silicon measurements against RTL simulation and emulation predictions A day in the life Your primary focus is measuring and understanding how our AI chips perform under real workloads. You'll spend mornings digging into benchmark results - figuring out where cycles are being lost
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TITLE: 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
---
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: 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: 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: 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
---
TITLE: Senior Applied Scientist, Neuro-Symbolic AI Labs
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $167K-$226K
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/10411143/senior-applied-scientist-neuro-symbolic-ai-labs
EXCERPT: Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and
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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
---
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 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: Senior Lab Operations Manager, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $256K-$279K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUKbdKNAbPXx23aGKjsSkQfkkUgE60q0ubY6Sl63j_WZEjsACxwdTBYu0LhEaWINSmdxtL7kJjpu8LCQHyrakzxpxkR65vo3At184est2zZokjnEAXHuHc9Mw9hTOw%3D%3D_V2&loc=US&title=Senior+Lab+Operations+Manager
EXCERPT: Senior Lab Operations Manager, DeepMind Mountain View, CA, USA As the Senior Lab Operations Manager, you will be the heartbeat of our floor-lab operations. You will be responsible for ensuring that every square foot of the lab is either optimized for maximum productivity or is a safe and effective platform for research experiments. You will sit at the center of a complex ecosystem, aligning internal engineering goals with external Vendor (xWf) execution. When the floor is humming, it is because of your systems; when there is a bottleneck, you are the one who clears it. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Own the daily rhythm of the lab with an eye on increasing research velocity. Manage space allocation, equipment scheduling, and workflow optimization to ensure no engineer or
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TITLE: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2025-10-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3098687/senior-software-development-engineer-ai-ml-aws-neuron-model-inference
EXCERPT: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to
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TITLE: Software Engineer- 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: 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: 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: 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: 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: 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: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $255K-$345K
POSTED: 2026-02-02
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/3172291/member-of-technical-staff-multimodal-reasoning-applied-science-agi-autonomy
EXCERPT: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done
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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: 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: Software Development Engineer, Neuron Collectives, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
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)
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/10407388/software-development-engineer-neuron-collectives-annapurna-labs
EXCERPT: Software Development Engineer, Neuron Collectives, Annapurna Labs Cupertino, California, USA Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: * Enhance collective algorithms and topologies for optimal training performance * Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization * Monitor and analyze processor, DMA, firmware, and workload metrics * Optimize collective operations to scale AI compute across the data center * Work closely with the hardware team to co-optimize software and Trainium silicon
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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: Sr. Software Dev Engineer, Alexa AI Logistics for Infrastructure, Cost, & Efficiency
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (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)
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/10417538/sr-software-dev-engineer-alexa-ai-logistics-for-infrastructure-cost-efficiency
EXCERPT: Sr. Software Dev Engineer, Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you passionate about building and operating the world's largest real-time LLM inference systems? Are you a technical leader who thrives in high-ambiguity environments and wants to drive architectural decisions that impact millions of Alexa customers daily? If so, the Alexa AI Logistics for Infrastructure, Cost, and Efficiency (ALICE) team is looking for a Senior Software Development Engineer to join our new India team and own critical components of Alexa's LLM inference infrastructure. Alexa is shaping the future of AI voice-based personal assistants. At ALICE, we are passionate about infrastructure efficiency, cost optimization, and capacity management to enable amazing customer experiences at scale. You will be a founding technical leader of our India presence, setting the bar for engineering excellence and driving high-impact work on one of Amazon's most critical AI services. Key job responsibilities - Serve as the technical anchor for the ALICE India team, driving architecture decisions for the AlexaLLMInferenceService (LLMI) and related ALICE portfolio services - Design and implement scalable, high-availability systems for LLM inference serving, including multi-node distributed inference and multi-tenancy capabilities - Lead technical design reviews, set coding standards, and mentor junior SDEs on the team - Make technical trade-offs between short-term team needs and long-term business needs, with a focus on performance, cost, and reliability - Collaborate with ALICE teams in Seattle and partner teams across Alexa and AGI on cross-cutting infrastructure programs - Drive operational excellence for Tier-1
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TITLE: Microbiology Lab Technician
EMPLOYER: The Procter & Gamble Company
LOCATION: IOWA CITY PLANT (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/IOWA-CITY-PLANT/Job-Posting-Title-Microbiology-Lab-Technician_R000134826
EXCERPT: Microbiology Lab Technician IOWA CITY PLANT posted: Posted 30+ Days Ago
---
TITLE: Applied Scientist, Trustworthy Shopping Experience (TSE)
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
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/10412111/applied-scientist-trustworthy-shopping-experience-tse
EXCERPT: Applied Scientist, Trustworthy Shopping Experience (TSE) Bengaluru, Karnataka, IND Are you passionate about solving complex business problems at scale through Generative AI? Do you want to help build intelligent systems that reason, act, and learn from minimal supervision? If so, we have an exciting opportunity for you on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy. We do this in close partnership with our selling partners, empowering them with best-in-class tools and expertise to offer a high-quality, compliant selection that customers trust. As an Applied Scientist I, you will bring subject matter expertise in at least one relevant discipline (e.g., NLP, computer vision, representation learning, agentic architecture) to contribute to next-generation agentic AI solutions that automate complex manual investigation processes at Amazon scale. Working alongside senior scientists, you will map business goals-such as reducing cost-of-serving while maintaining trust and safety standards-to well-defined scientific problems and metrics. You will invent, refine, and experiment with solutions spanning agentic reasoning, self-supervised representation learning, few-shot adaptation, multimodal understanding, and model compression. With guidance from senior scientists, you will stay current on research trends and benchmark your results against the state of the art. You will help design and execute experiments to identify optimal solutions, initiating the development and implementation of small components with team guidance. You will write secure, stable, testable, and well-documented production code at
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TITLE: Software Development Engineer II, Post Silicon Validation
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-03-04
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/3196286/software-development-engineer-ii-post-silicon-validation
EXCERPT: Software Development Engineer II, Post Silicon Validation Austin, Texas, USA Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference Your work will span validation of the complete vertical stack-silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on. Key job responsibilities As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle-from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation
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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: Applied Scientist, Alexa AI
EMPLOYER: Amazon
LOCATION: Turin, Piedmont, ITA (unspecified)
SALARY: Not disclosed
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/10434768/applied-scientist-alexa-ai
EXCERPT: Applied Scientist, Alexa AI Turin, Piedmont, ITA As an Applied Scientist in the Alexa AI team, you will spearhead the advancement and deployment of state-of-the-art ML/RAG systems that revolutionize how millions of customers interact with Alexa. You'll leverage your expertise in machine learning, natural language processing, and large language models to create reliable, scalable, high-performance products that set new standards in operational excellence. Working at the intersection of research and production, you'll translate latest AI innovations into customer-facing features that delight users daily. Your work will span the full ML lifecycle-from analyzing customer behavior patterns and building novel metrics for personal digital assistants, to deploying automated training pipelines and conducting rigorous A/B testing across diverse devices and endpoints. Collaborating closely with business, engineering, and science teams across Amazon, you'll lead high-visibility programs that automate workflows and deliver measurable customer impact. This role offers the unique opportunity to publish at top-tier conferences while seeing your innovations scale to one of the world's most popular voice assistants, serving millions of customers globally. Key job responsibilities As an Applied Scientist in the Alexa AI team: - You'll analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints. Your work will involve creating deep learning, policy-based learning, and machine learning algorithms that directly impact customer experiences, translating complex data patterns into actionable insights that drive product innovation. - Your technical leadership will extend to building and deploying automated model training and evaluation pipelines, implementing complex
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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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TITLE: CHK Automotive Lab technician， AMTPP
EMPLOYER: 3M
LOCATION: CN, Shanghai (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://3m.wd1.myworkdayjobs.com/Search/job/CN-Shanghai/CHK-Automotive-Lab-technician--AMTPP_R01164528
EXCERPT: CHK Automotive Lab technician， AMTPP CN, Shanghai posted: Posted 30+ Days Ago
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TITLE: Senior Software Engineer - AI/ML, AWS Neuron Inference
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $168K-$227K
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)
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/10422684/senior-software-engineer-ai-ml-aws-neuron-inference
EXCERPT: Senior Software Engineer - AI/ML, AWS Neuron Inference Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models. Key job responsibilities Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 5+ years of programming using a
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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: Software Engineer I - AI/ML, AWS Neuron Distributed Training
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $127K-$185K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
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/10438055/software-engineer-i-ai-ml-aws-neuron-distributed-training
EXCERPT: Software Engineer I - AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to tackle unprecedented technical challenges and deliver solutions that help customers change the world. AWS Neuron is the complete software stack powering AWS Trainium (Trn2/Trn3), our cloud scale Machine Learning accelerators and we are seeking a Senior Software Engineer to join our ML Distributed Training team. In this role, you will be responsible for the development, enablement, and performance optimization of large scale ML model training across diverse model families. This includes massive scale pre-training and post-training of LLMs with Dense and Mixture-of-Experts architectures, Multimodal models that are transformer and diffusion based, and Reinforcement Learning workloads. You will work at the intersection of ML research and high performance systems, collaborating closely with chip architects, compiler engineers, runtime engineers and AWS solution architects to deliver cost-effective, performant machine learning solutions on AWS Trainium based systems. Key job responsibilities You will contribute to the design and implementation of distributed training solutions for large-scale ML models running on Trainium instances. A significant part of your work will involve extending and optimizing popular distributed training frameworks including FSDP, torchtitan, and Hugging Face libraries for the Neuron ecosystem. A core focus of this role involves developing and optimizing mixed-precision and low-precision training techniques. You will work with BF16, FP8, and emerging numerical formats to improve training throughput while maintaining model accuracy and convergence quality. This
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TITLE: Director, Lab Operations
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Director--Lab-Operations_R0407788
EXCERPT: Director, Lab Operations 00300 - Davita Laboratory Services posted: Posted 30+ Days Ago
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TITLE: 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: Software Development Engineer - Shopping Personalization AI, Amazon Stores
EMPLOYER: Amazon
LOCATION: Tel Aviv-Yafo, Tel Aviv, ISR (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)
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/10431701/software-development-engineer-shopping-personalization-ai-amazon-stores
EXCERPT: Software Development Engineer - Shopping Personalization AI, Amazon Stores Tel Aviv-Yafo, Tel Aviv, ISR Amazon's Personalization organization builds the AI systems behind how hundreds of millions of customers discover and shop. We extract and reason over customer signals in real time, power LLM-driven recommendation experiences, and build AI-native discovery surfaces that combine products, content, and contextual recommendations. Our work sits at the intersection of generative AI, large-scale distributed systems, and customer-facing products, delivered through high-performance web and mobile experiences at Amazon scale. In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build. We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint. Key job responsibilities - Design, build, test, and operate production AI
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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: 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: 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: Applied Scientist, Alexa Edge AI
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (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)
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/10432006/applied-scientist-alexa-edge-ai
EXCERPT: Applied Scientist, Alexa Edge AI Bengaluru, Karnataka, IND The Alexa Edge AI team is seeking a talented and motivated Applied Scientist to join our newly established team in Bangalore. In this role, you will design, develop, and deploy state-of-the-art machine learning models spanning computer vision (CV), audio (including speech) processing, and multimodal semantic understanding for both edge and cloud deployment. You will work at the intersection of multiple modalities to build systems that can perceive, interpret, and reason about the world - pushing the boundaries of what's possible in unified multimodal intelligence. This is a unique opportunity to be a founding member of a brand-new site, shaping the team culture, technical direction, and research agenda from the ground up. Key job responsibilities Model Development: Design and build deep learning models for computer vision, audio understanding, and multimodal semantic fusion - including architectures that enable joint reasoning across visual, auditory, and textual modalities. End-to-End Ownership: Own the full ML lifecycle - from problem formulation, data strategy, and annotation design through experimentation, evaluation frameworks, model optimization, and deployment at scale. Research & Innovation: Stay at the frontier of CV, audio ML, and multimodal learning; identify and apply SOTA techniques and contribute to the scientific community through papers at top-tier venues (CVPR, NeurIPS, ICASSP, ICCV, ACL). Mentorship & Culture Building: As a founding member of the Bangalore site, help hire, onboard, and establish the technical practices that define the team's culture. A day in the life An Applied Scientist with the Alexa Edge
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TITLE: Post-Silicon Systems Validation Engineer, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $144K-$194K
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)
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/10446098/post-silicon-systems-validation-engineer-annapurna-labs
EXCERPT: Post-Silicon Systems Validation Engineer, Annapurna Labs Austin, Texas, USA Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference Your work will span validation of the complete vertical stack-silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on. Key job responsibilities As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle-from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML
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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: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-03-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/2925690/sr-sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC)
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TITLE: 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: 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, Alexa Edge AI
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (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)
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/10432013/applied-scientist-alexa-edge-ai
EXCERPT: Applied Scientist, Alexa Edge AI Bengaluru, Karnataka, IND We are looking for a Senior Applied Scientist to help establish and lead the technical direction of our newly formed team in Bangalore. In this role, you will drive the research and development of next-generation machine learning models spanning computer vision, audio processing, and multimodal semantic understanding. You will help define the science roadmap, tackle high-ambiguity problems across modalities, and deliver solutions that operate at scale. This is a rare opportunity to shape the technical vision, culture, and long-term research agenda of a greenfield site. Key job responsibilities Model Development & Technical Leadership: Architect and drive development of advanced deep learning models for CV, audio understanding, and multimodal semantic fusion - setting the technical bar and defining best practices for the team. End-to-End Ownership: Own complex ML programs end-to-end - from identifying high-impact problems, designing data strategies and evaluation frameworks, through experimentation, optimization, and deployment at production scale. Research & Innovation: Define the science roadmap for your area; drive novel research directions in multimodal learning and deliver results that advance both the product and the broader field. Publications & Thought Leadership: Maintain an active publication record at top-tier venues (e.g. CVPR, NeurIPS, ICASSP, ICCV, ACL) and represent the team externally in the research community. Mentorship & Culture Building: Mentor scientists and engineers, raise the technical bar through hiring, and play a foundational role in establishing the Bangalore site's culture, processes, and scientific identity. A day in the life An Applied Scientist with
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TITLE: Software Development Engineer, Alexa Connections
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 115K-192K
POSTED: 2026-04-02
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/10381952/software-development-engineer-alexa-connections
EXCERPT: Software Development Engineer, Alexa Connections Vancouver, British Columbia, CAN Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as an SDE, and lead futuristic agentic AI initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+. As an SDE, you'll drive the development and scaling of real-time Agentic AI solutions that power our next-generation communication features. You'll work closely with cross-functional teams, including product management, sciences, design, and engineering, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the design and architecture aspects of these advanced AI systems into Alexa's core experience and ensure a high quality bar and CX for our customers. Key job responsibilities As part of our team, you will design and develop large-scale agentic AI systems that power Communications features on Alexa. You will collaborate with cross-functional teams to understand a range of Agentic AI requirements and deliver solutions that ensure high data quality and availability. You will also contribute to evaluating and implementing new technologies to improve our Alexa systems and support team members through knowledge sharing and
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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
---
TITLE: Applied Scientist, Neuron ARG, Annapurna ML
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
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/10418948/applied-scientist-neuron-arg-annapurna-ml
EXCERPT: Applied Scientist, Neuron ARG, Annapurna ML Seattle, Washington, USA The Automated Reasoning Group in the Amazon Neuron team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX. Your role will involve working closely with our custom-built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience
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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: 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: 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: Software Development Engineer, Alexa Connections
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 115K-192K
POSTED: 2026-04-02
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/10381950/software-development-engineer-alexa-connections
EXCERPT: Software Development Engineer, Alexa Connections Vancouver, British Columbia, CAN Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as a Software Development Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+. As a SDE, you'll drive the development of next-generation communication features powered by advanced AI technologies, including Generative, Agentic, and Real-time AI. You'll work closely with cross-functional teams, including product management, design, and data science, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the integration of these advanced AI systems into Alexa's core capabilities, ensuring a seamless and intuitive user experience. Key job responsibilities - Influence product and technology strategy by helping define the product features, refine system architecture, and spearhead Agentic AI and LLM best practices that enable a quality product. - Build agentic APIs to deliver a low latency, low cost, highly reliable, and high scalable cloud services and device software solutions. - Drive and lead software design, development standards, team processes and code reviews. - Optimize software libraries for low latency, CPU and
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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 Development Engineer III, Annapurna Labs
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $185K-$250K
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/3163516/software-development-engineer-iii-annapurna-labs
EXCERPT: Software Development Engineer III, Annapurna Labs New York, New York, USA About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our 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, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS
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TITLE: Supervisor II, Laboratory (Lab)
EMPLOYER: DaVita
LOCATION: 00300 - Davita Laboratory Services (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00300---Davita-Laboratory-Services/Supervisor-II--Laboratory--Lab-_R0415891
EXCERPT: Supervisor II, Laboratory (Lab) 00300 - Davita Laboratory Services posted: Posted 30+ Days Ago
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TITLE: Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation
EMPLOYER: Amazon
LOCATION: Tel Aviv-Yafo, Tel Aviv, ISR (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)
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/10425227/software-development-engineer-ml-systems-integration-machine-learning-israel-mlil-integration-validation
EXCERPT: Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs designs silicon and software that accelerates innovation. 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 Integration team is looking for a Senior Software Development Engineer to lead the design and delivery of systems software for our next-generation ML accelerator servers.. In this role you will own the design and implementation of CI/CD pipelines, test frameworks, and system-level validation for our next-generation ML inference accelerator platform. You will work across the full stack - from firmware interfaces through data-plane performance benchmarking to production fleet readiness - ensuring every component is validated end-to-end before it reaches customers. This is a greenfield environment with rapidly growing scope: new silicon, new software stacks (vLLM, NKI, NIXL), and new fleet-scale challenges. We are looking for a senior IC who can independently drive technical decisions, scale our validation infrastructure, and raise the bar on engineering quality across the group. Key job responsibilities - Own and evolve CI/CD pipelines - from pre-merge gates through continuous deployment to fleet. - Design and implement test frameworks that enable firmware and data-plane developers to write, run, and maintain tests with minimal friction. - Architect system-level test suites that stress control-plane and data-plane components beyond provisioning and vetting flows. - Build and maintain performance benchmarking infrastructure for LLM
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TITLE: Technical Service Specialist Core Lab - Gerona
EMPLOYER: Abbott Laboratories
LOCATION: Spain - Madrid (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
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/Technical-Service-Specialist-Core-Lab---Based-in-Gerona-80----Catalua-Andorra-20-_31150269
EXCERPT: Technical Service Specialist Core Lab - Gerona Spain - Madrid posted: Posted 30 Days Ago
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TITLE: Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $172K-$222K
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)
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/10431050/applied-scientist-ii-amazon-aws-agentic-ai-aws-ai-fundamental-research
EXCERPT: Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research Santa Clara, California, USA Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon's heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. A day in the life
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