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Physical Design Engineer - Flow & Methodologies

Etched · San Jose

CHECKED 8H AGO

Infrastructureonsitesenior$200k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Architect Etched's RTL-to-GDSII flow from first principles for frontier inference.
  • Build hardware co-designing chips, racks, and software for AI inference.
  • Drive PPA gains and accelerate time-to-market with novel CAD methodologies.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2.5k per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch and dinner in our office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

A creative, first-principles physical design engineer with 5-10+ years experience who loves building high-velocity automation and accelerating frontier AI hardware in a fast-paced, in-person team.

Requirements

  • 5-10+ years of previous experience with PD or PD methodology/CAD
  • Experience building and owning automated RTL-to-GDSII flows used by multiple block owners
  • Experience creating block level and full chip level PG mesh from scratch, including interpretation of design rule documents and EM/IR analysis
  • Experience with DRC-clean floorplanning flows and automated checks
  • Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) automated RTL-to-GDSII flows
  • Experience with PPA tuning and timing correlation across pre-route, post-route, and signoff environments
  • Experience integrating sign-off tools (PrimeTime, Tempus, Voltus, Pegasus, Calibre) into production flows
  • Experience with back-end design on advanced process nodes (5nm and below)
  • Experience with UPF-based low power design methodology and multi-mode multi-corner setup
  • Strong Tcl and Python skills for flow development and automation
  • Deeply creative and able to think from first principles
remote policy
fully in-person

Lab profile

About Etched

Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.

What they build

  • Sohu AI inference chip
  • AI racks and hardware systems
  • Inference software stack

Known for

  • Full-stack co-design of chips, racks, software and manufacturing
  • Best-in-class throughput and latency for prefill and decode
  • Inference-optimized architecture

Key facts

  • Backed by hundreds of millions from top-tier investors
More about Etched →
Apply on the lab’s site ↗