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Hardware Engineer - ML Acceleration

Amazon· Hardware Development
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Hybrid (Austin, TX), Hybrid (Cupertino, CA)$153.6k - $247.3kfull-timePosted 6mo ago

About the role

Hardware Design Engineer focused on definition, design and validation of AWS next generation ML Chips, Cards and server integration within Annapurna Labs. Lead hardware efforts for PCIe/Serdes, ML acceleration platforms, and large-scale data center deployments.

Responsibilities

  • Design and validation of AWS next generation ML Chips, Cards and server integration.
  • Participation in design and execution of PCIe and Serdes topics to create customized platforms for AWS datacenters.
  • Provide leadership in applying new technologies to large scale server deployments.
  • Work on improving product performance, quality and cost in a fast-paced environment.

Qualifications

  • Bachelor's degree in Electrical Engineering or a related field
  • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong debugging skills
  • Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

Skills

Required:Electrical EngineeringDebuggingVerification
Nice to have:PCIe and SerdesARM and DSP ISAsRF standardsAutomation scripting

Benefits

  • 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
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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