# FewerJobs export - 100 curated jobs
Generated: 2026-08-19T18:47:01.484Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Iris 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
### Managing Director SAP Labs Israel (f/m/d) - SAP
- Location: Country Israel | Internal Posting Location Raanana (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Equipment Engineer, Annapurna Labs - Amazon
- Location: Haifa, HA, ISR (unspecified)
- Salary: Not disclosed
- Posted: 2025-10-21
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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)

### Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $159K-$215K
- Posted: 2025-03-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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)

### Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $159K-$215K
- Posted: 2025-12-29
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3149763/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
- Excerpt: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is

### Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $137K-$185K
- Posted: 2026-03-27
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $136K-$184K
- Posted: 2026-01-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### SoC Lab Technician, SSG - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr. Failure Analysis Engineer, SPICE Lab (Seattle) - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $137K-$186K
- Posted: 2026-01-21
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Revenue Operations Coordinator I (Lab) - DaVita
- Location: 00303 - TRC Lab SGA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Lab Engineer , Amazon Leo - Amazon
- Location: Kirkland, Washington, USA (unspecified)
- Salary: $39-$69/hr
- Posted: 2026-05-26
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Strategic Partner Program Manager, Gemini API and AI Studio, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $236K-$257K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckeSeSsKE7ZCRnR-Y7XJbSDW1-ZxkBDtv1TRrX9xTPYSOEjsACxwdTIQrbT4xF4dCI9XsM5sM2vuUR4nSKJjIfAxFPdBC65j6xtatdbvHdncxs3ihctiN9IwOKnoumg%3D%3D_V2&loc=US&title=Strategic+Partner+Program+Manager
- Excerpt: Strategic Partner Program Manager, Gemini API and AI Studio, DeepMind Mountain View, CA, USA The Gemini API and Google AI Studio team support millions of developers and process trillions of tokens, serving as a critical access point for Google's latest Generative AI models. This platform is central to Google's AI strategy, enabling builders to rapidly create AI-powered applications with minimal friction while ensuring secure and scalable access to models and agents. In this role, you will operate at the heart of Google's developer AI strategy, at the intersection of DeepMind's frontier research and the scale of the Google Cloud ecosystem. You will act as a multiplier for leadership, ensuring that the organization moves with the velocity of a startup while maintaining the operational excellence required to support millions of global builders. You will drive alignment across product, engineering, and cross-functional teams to ensure Google remains the premier destination to accelerate the path from prompt to production. 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

### Lab Compliance Manager - AbbVie Inc.
- Location: Sligo, , Ireland (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Server Lab Engineer , ML-IL - Amazon
- Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-14
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior Lab Operations Manager, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $256K-$279K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Lab Buildout and Operations Manager, Integration & Test, Amazon Leo - Amazon
- Location: Redmond, Washington, USA (unspecified)
- Salary: $117K-$160K
- Posted: 2026-06-03
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Innovation Lab Manager, RDPI - Global Engineering - Amazon
- Location: Westboro, Wisconsin, USA (unspecified)
- Salary: $99K-$160K
- Posted: 2026-04-29
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Senior Computer Vision and Machine Learning Research Scientist - Axon Enterprise
- Location: Seattle, Washington, United States (unspecified)
- Salary: $160K-$256K
- Posted: 2026-06-11
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/axon/jobs/7761541003
- Excerpt: Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this

### Senior Computer Vision and Machine Learning Research Scientist - Axon Enterprise
- Location: Seattle, Washington, United States (unspecified)
- Salary: $160K-$256K
- Posted: 2025-12-16
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/axon/jobs/7563078003
- Excerpt: Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this

### Senior QC Lab Manager - Pfizer
- Location: Singapore - Tuas (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Test Lab Engineer - BASF
- Location: Country / Location United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior AI Research Scientist - Axon Enterprise
- Location: Belgium (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-05
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Lab technician - NXP Semiconductors
- Location: Nijmegen (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://nxp.wd3.myworkdayjobs.com/Careers/job/Nijmegen/Lab-technician_R-10063240-1
- Excerpt: Lab technician Nijmegen posted: Posted 30+ Days Ago

### Applied Scientist, Edge AI and Science - Amazon
- Location: Cambridge, England, GBR (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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,

### Sr. SDM, AI Inference Technology, Neuron SDK - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $253K-$342K
- Posted: 2025-06-16
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3009701/sr-sdm-ai-inference-technology-neuron-sdk
- Excerpt: Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions, developing the full stack of software, servers and

### AI Scientist I - Axon Enterprise
- Location: Seattle, Washington, United States (unspecified)
- Salary: $130K-$208K
- Posted: 2026-05-21
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/axon/jobs/7746492003
- Excerpt: AI Scientist I Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data. What You'll Do Location: Seattle, WA Reports to: Senior Manager, Research Science - Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and

### Staff Machine Learning Engineer - Edge AI - Samsara
- Location: Remote - US (remote)
- Salary: $179K-$319K
- Posted: 2026-06-10
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357
- Excerpt: Staff Machine Learning Engineer - Edge AI Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations. This is a remote position open to candidates residing

### Lab Analyst - The Procter & Gamble Company
- Location: Chachoengsao (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://pg.wd5.myworkdayjobs.com/1000/job/Chachoengsao/Lab-Analyst_R000142566
- Excerpt: Lab Analyst Chachoengsao posted: Posted 30+ Days Ago

### ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $157K-$213K
- Posted: 2026-05-26
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10430432/asic-engineer-ii-cloud-scale-machine-learning-acceleration-team
- Excerpt: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team Cupertino, California, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't

### C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2026-05-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Applied Science Manager, Alexa Edge AI - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Hardware Performance Test Engineer, Engineering Labs, Platforms - Google
- Location: Sunnyvale, CA, USA (unspecified)
- Salary: $132K-$190K
- Posted: 2026-06-08
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $159K-$215K
- Posted: 2025-08-14
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3059766/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-team
- Excerpt: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting,

### Applied Scientist, Alexa Edge AI - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Lab Technician - Ecolab
- Location: USA - Texas - Garland (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $183K-$248K
- Posted: 2026-03-16
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3205794/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-team-annapurna-labs
- Excerpt: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Key job responsibilities - As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications. - Integrate multiple subsystems into top level SOC,

### Lab Technician - The Procter & Gamble Company
- Location: READING PLANT (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://pg.wd5.myworkdayjobs.com/1000/job/READING-PLANT/Lab-Technician_R000149490
- Excerpt: Lab Technician READING PLANT posted: Posted 30+ Days Ago

### ML Kernel Performance Engineer, Edge AI and Science - Amazon
- Location: Vancouver, British Columbia, CAN (unspecified)
- Salary: CAD 115K-192K
- Posted: 2026-06-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10437525/ml-kernel-performance-engineer-edge-ai-and-science
- Excerpt: ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed

### Network Security Lab Architect - CyberArk
- Location: 52 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $183K-$248K
- Posted: 2026-03-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3193440/sr-soc-verification-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
- Excerpt: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have

### Dosimetry Lab Technician - Abbott Laboratories
- Location: Ireland - Kilkenny (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior Software Engineer, Gemini Live, DeepMind - DeepMind
- Location: New York, NY, USA; +1 more (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckeAYJbP6WnE3dsIJ5GMnLZ-bF2ORDQxjunrzOn-pmy_EEjsACxwdTEWh9KJhHYtEub-4yYgY1UtDtrcBliCwoqZU_ySEBkUizntAeKDfbnUibOIE6TTBut89Qq1GCw%3D%3D_V2&loc=US&title=Senior+Software+Engineer
- Excerpt: Senior Software Engineer, Gemini Live, DeepMind New York, NY, USA; +1 more Be the go-to, top of mind multimodal Artificial Intelligence assistant destination for users who want to ask or show something to their Artificial Intelligence assistant. Build daily habits by delivering the sounding board, truly helping users who seek advice about family, school, or work. Enable Live to give lightning fast responses for simple information seeking questions, or go as deep as any expert on any topic for queries. Build out productivity experiences so Gemini Live can be an indispensable part of managing your day-to-day life. 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: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code

### Software Engineer (Lab Automation) - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $207K-$301K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUdHMNQuPZps7QwsaQVVdPXlxPCKmFFNubll-lcgH7wOEjsACxwdTJfWF0oYSLDkHM6WLLpcfT9jpoYE-_o8bnYDEmyHlF8IYz5XqsxIVIM8Uc9oCeQBLNf7hpRArQ%3D%3D_V2&loc=US&title=Staff+Software+Engineer
- Excerpt: Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. In this role, you will be focused on building Google's next-generation AI assistant. You will empower billions of people by offering personalized products that serve as a seamless extension of their intellect. You will help build a personal AI assistant that continuously absorbs, organizes, and effortlessly recalls the unique interests, passions, and curiosities of individuals, evolving alongside them to amplify their everyday thinking. 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

### Senior Lab Technician - Ecolab
- Location: USA - Illinois - Naperville (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Gemini Audio Research Scientist, DeepMind - DeepMind
- Location: New York, NY, USA; +1 more (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-08
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSuO9eE4rvKxzoqwMTCxSNahseZQw7ub9MGMP8fVzfl-EjsACxwdTI6aUCwSaHW-pMnFCXvsFIg35GrhdF5eLjSksAEBiv3OGuvDJFHPj08i5VutjVcOTDGHAXk8Hw%3D%3D_V2&loc=US&title=Gemini+Audio+Research+Scientist
- Excerpt: Gemini Audio Research Scientist, DeepMind New York, NY, USA; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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

### Microbiological Lab Leader - The Procter & Gamble Company
- Location: RAKONA PLANT (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://pg.wd5.myworkdayjobs.com/1000/job/RAKONA-PLANT/Microbiological-Lab-Leader_R000151611
- Excerpt: Microbiological Lab Leader RAKONA PLANT posted: Posted 25 Days Ago

### Senior Lab Technician - 3M
- Location: US, Minnesota, Maplewood (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-28
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Staff AI/ML Engineer - Edge AI System - Analog Devices
- Location: 6 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132
- Excerpt: Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

### Lab Technician - Bunge
- Location: Channahon, IL (unspecified)
- Salary: $50K-$56K
- Posted: 2026-06-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- Apply: 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

### Software Engineer, Robin Core Experience on iOS, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +1 more (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckfEF9zUZw2YQiOxQGugPc202zd01AEVHRiKap69_SlqPEjsACxwdTPQiIq3MBvVgsV0k2EduTfczcDOGenPeHmIuOofp9g8x8wcOKsScB-WCVf9Y9VuklHo6yChdkw%3D%3D_V2&loc=US&title=Software+Engineer
- Excerpt: Software Engineer, Robin Core Experience on iOS, DeepMind Mountain View, CA, USA; +1 more As a part of the team building the Web, Android, and iOS Gemini app, one of the main ways users access the power of Large Language Model (LLMs) and collaborate with innovative developers, designers and UX professionals in small, fast-moving pods to create products used by millions. In this role, you will work side by side with Product and UX in a creative, self-sufficient environment, staying consistently ahead of the curve on development platforms, new functionality and APIs.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 various 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: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Design, build, and deliver compelling new features for Gemini's applications, prioritizing both performance and seamless user experiences. Work closely with cross-functional teams (design, product, modeling specialists) to translate user needs into

### Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $185K-$250K
- Posted: 2025-12-10
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Senior Research Data Scientist, AI Developer Tools - Google
- Location: Sunnyvale, CA, USA (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZtEifQ5i4xjHR03X-BAIrkgl0zsJDXJvAkI4cTerSerEjsACxwdTNJpAzyLwMQgeNr6ghqa6UDlNuusQRWvc3z5TSkUw7wriAzdi5qNXHLUIPaFRm3wVlhZK8CZXQ%3D%3D_V2&loc=US&title=Senior+Research+Data+Scientist
- Excerpt: Senior Research Data Scientist, AI Developer Tools Sunnyvale, CA, USA Google Cloud offers a suite of Gemini-powered products. At the heart of this innovation is the Cloud Products Analytics team, which plays a central role in driving business success through data. We cover the entire analytics spectrum - from designing foundational metrics and uncovering deep user insights via innovative, rigorous, and advanced statistical methodologies to leading critical product launch evaluations. In this role, you will partner directly with Engineering and Product Management teams to shape Generative AI-based development tools that are fundamentally redefining developer productivity. You will drive the product success of flagship, high-priority Google Cloud initiatives on a team where analytics directly influences executive decisions. You will work at the forefront of AI, applying advanced analytics to next-generation developer tools. You will also serve as a co-pilot to product and engineering leaders, steering the direction of the product from inception to launch. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Act as a proactive, partner to Engineering and Product Management team, anticipating product needs to shape roadmaps and guide decision-making. Manage business questions by applying advanced statistical methodologies. Continually push boundaries by designing and implementing novel analysis techniques and trailblazing analytical frameworks. Design and establish advanced metrics to measure product health, setting new measurement standards for GenAI ecosystems. Design and

### Lead System and Lab Commissioning Engineer - GE Vernova
- Location: Noida (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $157K-$213K
- Posted: 2026-02-27
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3191927/asic-design-engineer-cloud-scale-machine-learning-acceleration-team-annapurna-labs
- Excerpt: ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Cupertino, California, USA Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities As an ASIC Design Engineer, you will: • Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets • Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements • Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints • Execute lint and clock domain crossing quality checks to ensure design integrity • Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts The ideal candidate

### Lab Operations Coordinator - Abbott Laboratories
- Location: New Zealand - Waikato (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior AI/ML Research Engineer (Computer Vision) - Intuitive Surgical, Inc.
- Location: Sunnyvale, CA, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.smartrecruiters.com/Intuitive/744000131739316-senior-ai-ml-research-engineer-computer-vision-
- Excerpt: Senior AI/ML Research Engineer (Computer Vision) Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Senior AI/ML Research Engineer (Computer Vision), you will develop the perception models that let our Embodied-AI system understand the surgical scene. Working within a hierarchical, multimodal stack-where a high-level model interprets sensory observations into structured intent and a low-level

### Lab Lead, Medical Education - Stryker Corporation
- Location: Bloomington, Minnesota (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior Software Developer, AI/ML, Conversational Insights - Google
- Location: Waterloo, ON, Canada; +1 more (unspecified)
- Salary: CAD 182K-187K
- Posted: 2026-06-05
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckapiYVHtmxmg0pFzhbkfHJQ4zDYrMdEHr-L6dPCKSp0REjsACxwdTIhkjrqdI0ue3u_UDwJWl8wla2kXpyWj49klVU-gZE4armUd28b-VGnv3Ai-RGgdLKXCz7J5qg%3D%3D_V2&loc=CA&title=Senior+Software+Developer
- Excerpt: Senior Software Developer, AI/ML, Conversational Insights Waterloo, ON, Canada; +1 more Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, Customer Experience Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), and other domain packaged solutions. We deliver new 0-to-1 capabilities with startup agility at the forefront of AI, collaborating directly with model builders. Join us to shape the future of AI in a fast-paced, collaborative environment. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent

### Blade Lab Operational Technical Leader - GE Vernova
- Location: Greenville (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Technology Lab Manager - Google
- Location: Mountain View, CA, USA (unspecified)
- Salary: $144K-$209K
- Posted: 2026-06-10
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr. Applied Science Manager, Perfect Order Experience (POE) AI - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $219K-$296K
- Posted: 2025-09-17
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3086073/sr-applied-science-manager-perfect-order-experience-poe-ai
- Excerpt: Sr. Applied Science Manager, Perfect Order Experience (POE) AI Seattle, Washington, USA The Perfect Order Experience (POE) AI team combines artificial intelligence, machine learning, and economic insights to ensure exceptional customer experiences and seller success on Amazon. We develop advanced scientific solutions that protect product authenticity, maintain quality standards, and safeguard intellectual property across Amazon's vast catalog. Our work spans from building detection systems using state-of-the-art Large Language Models to creating automated investigation processes and risk treatment mechanisms. Our solutions directly impact billions of customer interactions and enable millions of sellers to thrive while maintaining the highest standards of trust and quality. We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics. Key job responsibilities - Drive AI strategy and lead a team of applied scientists in developing ML solutions. - Lead the end-to-end development of a domain specific LLM. - Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets. - Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.

### Senior Machine Learning Scientist - Axon Enterprise
- Location: Seattle, Washington, United States (unspecified)
- Salary: $160K-$256K
- Posted: 2026-02-09
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/axon/jobs/7624679003
- Excerpt: Senior Machine Learning Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) - US: Seattle, Boston, Scottsdale Responsibilities - Own one or more key technical areas across LLM, MLLM, CV product portfolio. - Provide technical leadership to junior scientists, guiding the transition of R&D concepts

### Clinical Support I (Lab) - DaVita
- Location: 00300 - Davita Laboratory Services (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Research Scientist, Gemini Vision, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +6 more (unspecified)
- Salary: $147K-$211K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckRHCDZjut7n31TndMVP2MwJwe-K-P6zW2pehn87s93qSEjsACxwdTPGYEqzDACnv317hWmGEjm03mE8i6kRek_BD-i_Fuhu8BksnKXIGLcA-0QSVvgk38tcblUbHmQ%3D%3D_V2&loc=US&title=Research+Scientist
- Excerpt: Research Scientist, Gemini Vision, DeepMind Mountain View, CA, USA; +6 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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 different

### Microbiology Lab Technician - The Procter & Gamble Company
- Location: IOWA CITY PLANT (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior Applied Scientist, Neuro-Symbolic AI Labs - Amazon
- Location: Boston, Massachusetts, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2026-05-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Engineer I (Lab Testing & Operations) - Amgen
- Location: US - Massachusetts - Cambridge (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Abbott Ambassador - Core Lab (Madrid) - Abbott Laboratories
- Location: Spain - Madrid (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr. Applied Scientist, Alexa Excellence AI Ops, Alexa Excellence AI Ops - Amazon
- Location: Chennai, Tamil Nadu, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10421216/sr-applied-scientist-alexa-excellence-ai-ops-alexa-excellence-ai-ops
- Excerpt: Sr. Applied Scientist, Alexa Excellence AI Ops, Alexa Excellence AI Ops Chennai, Tamil Nadu, IND We are seeking a Senior Applied Scientist to join the Alexa Availability team within Alexa Excellence. This role leads the research and development of machine learning and statistical models that power Alexa's reliability at massive scale - serving hundreds of millions of customers globally. The ideal candidate will tackle complex, ambiguous problems spanning time series multivariate modeling, statistical anomaly detection, LLM-based operational intelligence, and adaptive threshold systems. They will design production-grade ML solutions, establish rigorous evaluation frameworks, and ensure AI systems are grounded, reliable, and free from systematic bias - leveraging techniques such as RAG, confidence scoring, knowledge graph integration, and counterfactual testing. This scientist will partner with engineers, product managers, and operations leaders to translate scientific innovation into production systems that directly impact Alexa's availability worldwide. They will drive the scientific agenda for the team, mentor fellow scientists, and influence the broader Alexa Excellence organization through technical leadership and cross-team collaboration. Key Focus Areas: Anomaly detection and predictive failure modeling Cross-service correlation and LLM-driven operational intelligence Production ML at the intersection of large-scale distributed systems and applied science Model reliability, hallucination mitigation, and grounding for operational AI Key job responsibilities As a Senior Applied Scientist on the Alexa Availability team, you will lead the research and development of machine learning and statistical models that power Alexa's reliability at scale. You will work on some of the most complex and ambiguous problems in the space

### AI Research Scientist, Applied AI, Google Cloud - Google
- Location: Sunnyvale, CA, USA (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-05
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUQNZer2zZmkjNzGjgtlpCQ-q3IGmqScjnVtL8_hjjL3EjsACxwdTKwj0eW6P4pcKJ4X1QPpovuf_oYtK5t_8S_zd8LkL5LF6uVqXnXNGh6moTfott7tjcq08En7Rw%3D%3D_V2&loc=US&title=AI+Research+Scientist
- Excerpt: AI Research Scientist, Applied AI, Google Cloud Sunnyvale, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model

### CHK Automotive Lab technician， AMTPP - 3M
- Location: CN, Shanghai (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Staff AI Research Scientist, Applied AI, Google Cloud - Google
- Location: Sunnyvale, CA, USA (unspecified)
- Salary: $207K-$301K
- Posted: 2026-06-05
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckWoCLc14NeQjdSloyY63_tjOgtvfJPXBZY8bS68kpJSwEjsACxwdTIRALGif3xdBMkW4qHRWJ5Sf3UJF4F7gfApUMxYftP0H6_SQu51ygn96qM6IAsUcuCwrsWT2og%3D%3D_V2&loc=US&title=Staff+AI+Research+Scientist
- Excerpt: Staff AI Research Scientist, Applied AI, Google Cloud Sunnyvale, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Cloud Applied AI teams goal is to support enterprises to innovate conversational AI products such as contact centers, conversational interfaces on websites, devices and mobile apps. We apply art of Artificial Intelligence/Machine Learning (AI/ML) to the conversational problems and work on building the next generation of customer service. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist,

### Engineering Manager – Environmental Test Lab - Leidos
- Location: Huntsville, AL (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $213K-$288K
- Posted: 2025-09-03
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Director, Lab Operations - DaVita
- Location: 00300 - Davita Laboratory Services (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Engineering Lab Manager, Platforms Infrastructure Engineering - Google
- Location: Sunnyvale, CA, USA (unspecified)
- Salary: $188K-$275K
- Posted: 2026-06-11
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQ0yZrsZCNz4ciGHJvrDgagKUJ2jWCWC3oXFtzQBlBmmEjsACxwdTBonfG71wTUPERbQv5qXQ-UWBx6Lluu-9124Eh7v-NnL1ajvIxgw9oHjCDLDxTsO4jnD41mGCA%3D%3D_V2&loc=US&title=Engineering+Lab+Manager
- Excerpt: Engineering Lab Manager, Platforms Infrastructure Engineering Sunnyvale, CA, USA We are dedicated to delivering laboratory infrastructure and expert engineers to facilitate Google Cloud in achieving excellence in hardware testing, automation, prototyping, product quality, and innovative endeavors. Our efforts maximize resources, ensure product excellence, and accelerate time to market. The hardware solutions supported by the Product Infrastructure Engineering Test Infrastructure Network (PIE TIN) form the fundamental infrastructure of Google's Data Centers and Mini Clusters worldwide. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $275000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead a specialized hardware engineering team supporting New Product Introduction (NPI) projects, collaborating with Project Managers to prioritize workloads and maintain high performance in a changing environments. Perform Linux and Windows Operating System (OS) administration, including

### Clinical Support I (Lab) - DaVita
- Location: 00300 - Davita Laboratory Services (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior Data Scientist, GeminiApp, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +2 more (unspecified)
- Salary: $232K-$253K
- Posted: 2026-06-05
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckeSwlJrm1k10DI04kCiVZlidBtuyWnSUoIO-KTKoX_bsEjsACxwdTK6tlGamsT1XnF3F-sR-_abCwaRm_50KJWq7WNoGjQbTKOte5Gcx05vEFjwMSDr5zO8Kpz1tMg%3D%3D_V2&loc=US&title=Senior+Data+Scientist
- Excerpt: Senior Data Scientist, GeminiApp, DeepMind Mountain View, CA, USA; +2 more 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: $232000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies. Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives. Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. Advocate data-driven culture by feeding user engagement insights back into models. Collaborate with the GenAI team on model quality and feature adoption. Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative

### Sr Manager, Laboratory (Lab) - DaVita
- Location: 00300 - Davita Laboratory Services (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### AI Engineer, Advanced Solutions Lab, Google Cloud - Google
- Location: Chicago, IL, USA; +2 more (unspecified)
- Salary: $152K-$222K
- Posted: 2026-06-10
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckWNyTvy0LqGlfusjqDPFyEtjp-m6gsyUrwz9fRlroa0GEjsACxwdTLqw1xHb6Li4Ow3t5kyaEk21qoWD_hZvy1IGAP0ZTBcTkEsjABgCwLQ_i7JnzFA2l0cjQMPjMw%3D%3D_V2&loc=US&title=AI+Engineer
- Excerpt: AI Engineer, Advanced Solutions Lab, Google Cloud Chicago, IL, USA; +2 more The AI Engineer role within the Advanced Solutions Lab (ASL) focuses on delivering and evolving a sophisticated Machine Learning and Generative AI curriculum for global participants. Operating in an immersive environment, you will work directly with customers to apply innovative AI solutions to high-impact business challenges and specific industry use cases. You will lead the daily educational journey for participants while continuously improving the program by integrating internal Google expertise and recommending the best open-source frameworks and models. Beyond these core duties, you will actively participate in the broader Google ML community through research collaboration, engineering projects, and strategic initiatives that shape the future of AI.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Drive the Advanced Solutions Lab by delivering content, identifying machine learning (ML) experts across Google to support specific sessions, and providing ongoing curriculum enhancements. Lead and support customers' machine learning projects from framing to implementation in the Advanced Solutions Lab. Design

### Sr Mgr Global Procurement- Lab Consumables - Regeneron Pharmaceuticals
- Location: TARRYTOWN (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Research Scientist, Gemini Retrieval and Agera, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $207K-$301K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckdOHjdwiEkmRUfnslwli9LirGjGg78ZbIICTLzr8CzsnEjsACxwdTO4qMh1NQvlQX8921dc_BoQ8lLkLodgiEvi-b_T-WUo5IygmOorSXTJArmmjI3Xby0jtg0vckw%3D%3D_V2&loc=US&title=Research+Scientist
- Excerpt: Research Scientist, Gemini Retrieval and Agera, DeepMind Mountain View, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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

### IATD AE Lab Testing Summer Intern - 3M
- Location: CN, Shanghai (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy - Amazon
- Location: San Francisco, California, USA (unspecified)
- Salary: $255K-$345K
- Posted: 2026-02-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Principal IT Lab Integration Developer - Regeneron Pharmaceuticals
- Location: RENSS - GLOBAL VIEW (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### ML Accelerator Performance Validation Engineer, Post Silicon Validation - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2026-05-29
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Associate Test & Evaluation Lab Tech - The Boeing Company
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Global Lab and System Commissioning Manager - GE Vernova
- Location: 7 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### CPU Verification Engineer - Amazon
- Location: Haifa, Haifa, ISR (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3134897/cpu-verification-engineer
- Excerpt: CPU Verification Engineer Haifa, Haifa, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop cutting-edge technologies, work with amazingly talented engineers, and truly shape the future. Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. Annapurna Labs is looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture. You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment. About the team About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage

### Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2026-05-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: 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

### Technical Lead, Corp Compliance (Lab) - DaVita
- Location: 09596 - Tennessee Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Applied Scientist II, Amazon Connect - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $143K-$193K
- Posted: 2026-04-28
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10405960/applied-scientist-ii-amazon-connect
- Excerpt: Applied Scientist II, Amazon Connect Seattle, Washington, USA Do you want to join a team of innovative scientists to research and develop generative AI technology that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment? Amazon Connect is a highly disruptive cloud-based contact center from AWS that enables businesses to deliver intelligent, engaging, dynamic, and personalized customer service experiences. The Agentic Customer Experience (ACX) org is responsible for weaving native-AI across the Connect application experiences delivered to end-customers, agents, and managers/supervisors. The Interactive AI Science team, serves as the cornerstone for AI innovation across Amazon Connect, functioning as the sole science team support high impact product including Amazon Q in Connect, Contact Lens and other key initiatives. As an Applied Scientist on our team, you will work closely with senior technical and business leaders from within the team and across AWS. You distill insight from huge data sets, conduct cutting edge research, foster ML models from conception to deployment. You have deep expertise in machine learning and deep learning broadly, and extensive domain knowledge in natural language processing, generative AI and LLM Agents evaluation and optimization, etc. You are comfortable with quickly prototyping and iterating your ideas to build robust ML models using technology such as PyTorch, Tensorflow and AWS Sagemaker. The ideal candidate has the ability to understand, implement, innovate on the state-of-the-art Agentic AI based systems. We have a rapidly growing customer base and an exciting charter in

### Process Research Lab Associate Researcher - The Procter & Gamble Company
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Staff Software Engineer, Gemini App, Data Engineering, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +2 more (unspecified)
- Salary: $207K-$301K
- Posted: 2026-06-12
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSubQ2qusWv1vm71kswoArMAq6cNlfeIXT2ae2iZ7T6xEjsACxwdTELwJQyQL1CspSz1G3IRuvRujZV_rY4fvsvitZW--caal1FcnBdxzjMIhPioQwfSRWxMuhO0Og%3D%3D_V2&loc=US&title=Staff+Software+Engineer
- Excerpt: Staff Software Engineer, Gemini App, Data Engineering, DeepMind Mountain View, CA, USA; +2 more The Gemini Apps Data Engineering team architects and operates the data pipelines that deliver critical telemetry across all Gemini surfaces. We combine deep technical expertise with Google-scale operating experience to solve the unique data challenges inherent in building a transformative, global product during a time of massive growth! Gemini's user base is growing continuously and our traffic has sometimes even doubled just over the course of a week. In this role, you will provide the technical leadership necessary to scale our infrastructure. You will architect durable data products and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale. Leveraging your experience in building and running scalable systems, and utilizing modern data warehouse infrastructure at Google, you will lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps's analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product. 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

### Lab Operations Technician I - Medtronic
- Location: North Haven, Connecticut, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 24 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $159K-$215K
- Posted: 2026-04-13
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10389921/sr-mla-dv-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
- Excerpt: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have

### Supervisor II, Laboratory (Lab) - DaVita
- Location: 00300 - Davita Laboratory Services (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Senior Machine Learning Engineer - Axon Enterprise
- Location: Seattle, Washington, United States (unspecified)
- Salary: $151K-$241K
- Posted: 2026-03-06
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/axon/jobs/7583232003
- Excerpt: Senior Machine Learning Engineer Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Are you eager to contribute to building AI products impacting the world for the greater good? As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company's mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon's products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud. As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding. What You'll Do Location: Hybrid from our office in Seattle, Washington. Reports to: Manager, Machine Learning Engineering - Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping

### Technical Service Specialist Core Lab - Gerona - Abbott Laboratories
- Location: Spain - Madrid (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-13
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: 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

### Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +2 more (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckX279DFnPWzZ_lY1b13I_ekkWtDbwDxRHYsOHj3K17SoEjsACxwdTGNKureycR9UmSbo6-BymVu6532Dincjayet027RtgQsiDWoIl9rbxUDQGcR_C0vRrY6EdMPIw%3D%3D_V2&loc=US&title=Research+Engineer
- Excerpt: Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one

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Source-backed benefit claims include source links; other benefit values are labeled separately.