The Annapurna Labs ML Accelerator team builds the Trainium and Inferentia silicon that trains and serves machine learning models across AWS. We work at the intersection of chip architecture, physical design, verification, and infrastructure to deliver products that push the boundaries of performance and efficiency for our customers. Our team values people who bring strong technical judgment, clear communication, and a willingness to get into the details. If you want to shape how Amazon builds its most ambitious hardware and work alongside talented engineers solving real problems at scale, this is the role for you.
- 10+ years of hands-on work managing complex technology projects experience
- 10+ years of working directly with engineering teams experience
- Deep working knowledge of the chip development lifecycle: RTL verification milestones, physical design convergence, DFT, and timing closure.
- Experience managing programs with external design partners and IP vendors where you don't control the resources but own the outcome.
- Demonstrated ability to build and maintain integrated schedules with real dependency modeling — not just Gantt charts, but an understanding of which paths have float and which don't.
- Strong technical communication skills: ability to present crisp status to VP-level audiences, distinguishing signal from noise, and framing decisions clearly.
- Experience with multi-die / chiplet / advanced packaging programs (2.5D/3D integration).
- Familiarity with HBM integration, die-to-die interfaces, or high-speed serial subsystems.
- Experience with leading-edge foundry nodes and their specific flow and schedule characteristics.
- Background in ML accelerator or high-performance compute silicon.
- Experience driving infrastructure capacity planning for large-scale chip development programs.
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.
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.
Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino – 203,500.00 - 275,300.00 USD annually
USA, TX, Austin – 177,000.00 - 239,400.00 USD annually
