Sr. Lab Engineer, Annapurna Labs, Machine Learning Hardware (AWS)

Amazon; Austin (TX); On-site; USD 137,000 - 185,000; Full time

Job summary

Amazon’s Annapurna Labs unit seeks a Sr. Lab Engineer to advance ML hardware lab capabilities. You will manage lab activities, develop automation solutions, and support hardware/software teams across multiple sites. Hands-on soldering, PCB, and lab equipment experience are essential for success.

You’ll collaborate with vendors and internal groups, maintain lab infrastructure, and drive projects from concept to deployment while balancing time, cost, and quality goals.

Qualifications

• Associate's degree in electrical engineering or equivalent is required.
• Hands-on experience in electrical lab environments and soldering/rework.
• Experience reading schematics and PCB layouts is essential.
• Strong problem solving and analytical abilities with good documentation.
• Ability to manage inventory and procurement of components and equipment.

Responsibilities

• Lead lab activities and develop solutions to automate lab processes.
• Support hardware/software engineering with lab setup, maintenance, and vendor coordination.
• Provide technical support for ML hardware product development, including AWS server integration.
• Work independently across multiple sites while delivering multiple projects on time.

Skills

Soldering and rework

Reading schematics

PCB layout

Problem solving

Inventory management

Detail logging

Independent work

Education

Associate's degree in electrical engineering

Tools

Oscilloscope

VNA

PCIe analyzer

Job description

Sr. Lab Engineer, Annapurna Labs, Machine Learning Hardware

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 career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Basic Qualifications

• - Associate's degree in electrical engineering or equivalent
• - 6+ years of related experience in engineering labs
• - 6+ years of experience Soldering and rework skills (0402, QFNs, etc.)
• - Experience in reading schematics and PCB layout
• - Great problem solving and analytical skills, including organization and communication skills
• - Manage inventory and procurement of components and equipment
• - Good at prioritizing tasks and keeping detailed logs of rework, revision history etc.

Preferred Qualifications

• - Strong computer skills (Mac/Windows, Linux, Scripts generation, etc..)
• - Experience and knowledge with lab equipment: Oscilloscope, VNA, PCIe analyzer, etc...
• - Experience with power supplies and power measurement experience
• - Ability to work independently with minimal guidance
• - Basic debug experience of electronic boards

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

Preferred Qualifications

• - Strong computer skills (Mac/Windows, Linux, Scripts generation, etc..)
• - Experience and knowledge with lab equipment: Oscilloscope, VNA, PCIe analyzer, etc...
• - Experience with power supplies and power measurement experience
• - Ability to work independently with minimal guidance
• - Basic debug experience of electronic boards

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, TX, Austin - 136,900.00 - 185,200.00 USD annually

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https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.