Hardware Engineer - ML Acceleration, Annapurna Labs
Listed on 2026-07-08
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Engineering
Systems Engineer, Hardware Engineer, Test Engineer
Hardware Engineer - ML Acceleration, Annapurna Labs
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 seeking a Hardware Design Engineer with a role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating customized platforms that fit within AWS datacenter’s world‑leading technology.
As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large‑scale server deployments in a continuous effort to deliver a world‑class customer experience. This is a fast‑paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas.
You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
- Bachelor's degree in Electrical Engineering or a related field
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
- Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
- Master's degree in Electrical or Communications Engineering or a related field
- Experience with formal verification techniques including abstraction and end‑to‑end checking
- Experience with ARM and various DSP ISAs
- Experience with current and upcoming RF standards in cellular (4G/5G ), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, CA, Cupertino - - USD annually
USA, TX, Austin - - USD annually
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