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Etched.ai

Physical Design Engineer

San Jose$150k–$275kfulltimemidAdded today

About this role

Etched seeks an experienced Physical Design Engineer to lead block-level chip implementation and optimization for AI inference hardware. You'll drive timing closure, manage design flows, collaborate with RTL teams, and oversee third-party design work while helping scale the company's design infrastructure.

What you'll do

  • Own block-level physical design implementation and verification through GDSII sign-off
  • Drive timing closure and PPA optimization while maintaining convergence dashboards
  • Collaborate with RTL designers to provide feedback and improve design performance
  • Supervise and manage third-party physical design outsourcing
  • Automate and optimize EDA tool flows in coordination with vendors
  • Support ASIC infrastructure and improve CAD tools and design methodology

What they're looking for

  • 5-10+ years physical design experience on advanced nodes (5nm and below)
  • Cadence (Innovus, Genus) or Synopsys (ICC2, Fusion Compiler) tools
  • Sign-off tools (PrimeTime, Tempus, Voltus)
  • UPF-based low power design, timing closure, and floorplanning/placement/routing
  • Python or scripting language for flow automation
  • Formal verification, scan insertion, IR drop, and EM/antenna analysis
  • Knowledge of ML/LLM architectures (preferred)
  • First-principles problem-solving and creative thinking

Benefits

  • Medical, dental, and vision insurance with generous coverage ($500/month credit option)
  • $2,000/month housing subsidy for office-proximate employees
  • Relocation support to San Jose (Santana Row)
  • Daily lunch and dinner provided in office
  • Wellness benefits covering fitness and mental health
  • Unlimited compute budget subject to ROI justification

Likely interview questions

  • Walk us through your experience with RTL-to-GDSII flows using Cadence or Synopsys tools. What were the biggest challenges you faced in timing closure on advanced nodes?
  • Describe a time when you optimized PPA for a block. What tradeoffs did you make and how did you validate your decisions?
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