Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

About the role

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.

Responsibilities

• integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
• implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications
• analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements
• develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints
• perform lint and clock domain crossing quality checks on the design
• work with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish tasks

Qualifications

• Bachelor's degree in Electrical Engineering or a related field
• 5+ years in RTL design for SOC
• 5+ years of VLSI engineering
• 5+ years with code quality tools including: Spyglass, LINT, or CDC

Preferred Qualifications

• Master's degree or Ph.D. degree in Electrical Engineering or related field
• experience scripting for automation (e.g., Python, Perl, Ruby)
• experience that includes strong analytical skills, attention to detail, and effective communication abilities
• experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
• familiarity with data path design, interconnects, AXI protocol

Pay

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.

USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

USA, TX, Austin - 159,200.00 - 215,300.00 USD annually