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EFA Engineer, AWS Annapurna Labs

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Amazon
Full Time position
Listed on 2026-01-18
Job specializations:
  • IT/Tech
    Cloud Computing, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Join Annapurna Labs and take part in the development of next generation products that will define the future of the cloud.

Annapurna Labs, an Amazon company, is looking for a Senior Software Engineer with experience in networking and software, to join the networking SW group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, who can take ownership, and lead the development of key SW components for Amazon network cards.

You will take part in developing, integrating, and deploying cutting‑edge networking technologies, starting from the identification and definition of project requirements, feature development, deployment and operational support, on a very large scale.

As part of your role you will join a team of engineers who are developing software implementing AWS RDMA technology, for Machine Learning and High Performance Computing (HPC) customers.

Your code will run on millions of servers worldwide, as part of the Nitro system. Not many software engineers in the world have the opportunity to create code that runs at such a large scale.

The role includes working closely with HW, FW, and SW teams all over the world.

A day in the life

The team is responsible for AWS HPC (High performance computing) and ML (Machine learning) networking device SW.

For more information we invite you to watch

AWS re:

Invent 2022 Keynotes  HPC7g and ML (from 9:17)

AWS re:

Invent 2025 Keynote

About the team
  • 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 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) 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.
  • 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
  • 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 Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
  • Mentorship and 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.

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Basic Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
  • 5+ years of experience coding in C and C++
  • Deep experience in networking protocols, mainly RDMA/Ethernet
  • Experience in performance optimizations
Preferred Qualifications
  • 4+ years of experience with embedded SW development
  • Experience with SoC development life cycle
  • Experience with virtualization technologies
  • Personal characteristics:
    Team player, highly motivated and committed, passionate about SW development, a fast learner, and willing to work in a dynamic environment.

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

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