Embedded Software Engineer, Annapurna Labs

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago - even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

We are looking for an Embedded Software Development Engineer to join our team. As an Embedded Software Development Engineer on this team, you will work with a team of world‑class software developers who develop the software and firmware that powers our custom ML chips in our data centers, allowing customers to deploy workloads at scale.

• Architect and develop mission‑critical software that powers Annapurna Labs’ next‑generation machine learning platforms
• Collaborate with adjacent development teams and hardware development teams to ensure seamless system integration
• Drive end‑to‑end qualification processes for new software implementations
• Craft high‑performance solutions using C/C++ and Python running on Linux

We work at the hardware‑software boundary where silicon meets systems. While ML engineers optimize models and algorithms, we ensure the underlying infrastructure can move data at the speeds those workloads demand. If you’re excited about low‑level systems programming, hardware bring‑up, and building the foundation that makes next‑generation AI possible, this is the team for you.

• 3+ years of non‑internship professional software development experience
• 2+ years of non‑internship design or architecture experience of new and existing systems (design patterns, reliability, and scaling)
• Experience in embedded development in C/C++
• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelor’s degree in computer science or equivalent

• Additional experience in designing embedded systems for machine learning workloads
• Experience with low‑level performance optimization on Linux for custom hardware

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

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.

• USA, CA, Cupertino –  –  USD annually
• USA, TX, Austin –  –  USD annually