ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Amazon-posted about 2 months ago
Full-time • Mid Level
Cupertino, CA
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Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

  • integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
  • As a key member of the ASIC design team, you will 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 with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.
  • BS degree in electrical engineering or equivalent
  • 3+ years in RTL design for SOC
  • 3+ years of VLSI engineering
  • 3+ years with code quality tools including: Spyglass, LINT, or CDC
  • Experience scripting for automation (e.g., Python, Perl, Ruby)
  • Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
  • Familiarity with data path design, interconnects, AXI protocol
  • Good analytical, problem solving, and communication skills
  • Are familiar with scripting in Python
  • Are proficient with assertions
  • Have good debug skills to analyze RTL test failures
  • Have a "Learn and Be Curious" mindset
  • medical
  • financial
  • other benefits
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