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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna LabsAmazon • Cupertino, California, United States
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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Amazon
  • US
    Cupertino, California, United States
  • US
    Cupertino, California, United States
Jetzt Bewerben

Über

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries. Custom SoCs lie at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you will design and optimize hardware for our data centers, including AWS Inferentia, a custom‑designed machine learning inference datacenter server. You will help us trail‑blaze new technologies and architectures while ensuring high design quality and making the right trade‑offs.
Key Responsibilities
Develop and implement high‑performance, area‑ and power‑efficient RTL designs to meet project specifications and targets.
Conduct in‑depth analysis of designs, microarchitectures, and architectures to optimize trade‑offs between features, power consumption, performance, and area requirements.
Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing‑clean designs with appropriate constraints.
Execute lint and clock‑domain‑crossing quality checks to ensure design integrity.
Collaborate closely with cross‑functional teams, including architects, fellow designers, verification specialists, pre‑ and post‑silicon validation teams, and synthesis, timing, and back‑end experts.
Preferred Qualifications
Master's degree in Electrical, Communications, or related engineering discipline.
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 NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards.
Experience with industry‑standard tools and scripting languages (Python or Perl) for automation.
Basic Qualifications
Bachelor's degree in Electrical Engineering or a related field.
Proficiency in SystemVerilog and experience identifying bugs in architecture, algorithms, functionality, and performance.
Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing.
About the Team Our team values an inclusive culture and work‑life balance. We support mentorship and career growth, provide flexibility in working hours, and encourage a healthy balance between personal and professional life.
Location & Compensation Cupertino, CA, USA – Salary Range: $157,300.00 – $212,800.00 USD annually.
Benefits Amazon offers a comprehensive benefits package including health insurance (medical, dental, vision, prescription, Basic Life & AD&D, optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement), 401(k) matching, paid time off, and parental leave.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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  • Cupertino, California, United States

Sprachkenntnisse

  • English
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