Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware

Company: Annapurna Labs Inc.
Location: Austin
Posted on: July 10, 2025

Job Description:

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. We are looking for a Component Engineer with strong skills and background in hardware design and firmware support. In this role you will work with supply chain team, help with component selection, optimize cost and be responsible for system validation and integration of hardware in the AWS fleet through its entire life cycle. You will work cross functionally with the Platform Design team, and additional teams across AWS to improve quality and reliability of products operating in the fleet. We are looking for candidates who thrive in a fast-paced start-up like environment and work independently to deliver multiple projects in parallel. To be successful you need to be highly motivated and detailed oriented while meeting the highest standards and 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 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 - BS in Electrical Engineering, Computer Engineering, or a related field - 5 years of experience with component engineering - 3 years of experience with hardware/software integration for embedded systems or hardware development - Experience with supply chain, vendors and working with external ODM - Experience working in Linux environments - Experience writing scripts using Perl/Python/lua/Bash or another scripting language PREFERRED QUALIFICATIONS - Strong analytical capabilities - The ability to work independently and drive tasks from start to completion - Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level - Experience with server (x86 / ARM) design or architecture 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.

Keywords: Annapurna Labs Inc., Temple , Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware, IT / Software / Systems , Austin, Texas