Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Amazon Amazon · Big Tech · Cupertino, CA · Software Development

This role is for a Sr. Physical Design Engineer specializing in Static Timing Analysis (STA) for cloud server platforms, including hardware like AWS Inferentia. The engineer will develop and maintain STA flows, write and debug timing constraints, provide guidance on fixing timing issues, and automate STA processes. The role requires expertise in timing analysis fundamentals, STA experience, and understanding of ASIC Physical Design.

What you'd actually do

  1. Develop & maintain flows for block and full-chip level static timing analysis
  2. Write, debug & validate timing constraints for blocks and full-chip.
  3. Run Static Timing Analysis and give frequent feedback to team members and leads.
  4. Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues).
  5. Develop scripts to automate running timing analysis and generate reports.

Skills

Required

  • Experience in scripting languages such as Perl, Python, or Javascript
  • BS + 8yrs or MS + 6yrs or PhD + 4yr in EE/CS
  • Expertise in timing analysis fundamentals
  • 3+ years doing Static Timing Analysis
  • 3+ years with timing constraint development
  • Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others)
  • Understanding of ASIC Physical Design from RTL-to-GDSII
  • Understanding of other sign-off activities (ir/em, physical verification, DFT)

Nice to have

  • Experience in mentoring, leading and coaching
  • Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others)
  • Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others)
  • Experience in advanced nodes - 16nm or below
  • Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others)
  • Expertise on circuit level analysis using tools like SPICE / SPECTRE
  • Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc.

What the JD emphasized

  • AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost