Skip to content
← Etched

Physical Design Engineer - Full Chip Implementation

Etched · San Jose

CHECKED 6H AGO

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

At a glance

Highlights

  • Own full-chip implementation from synthesis through GDSII for AI inference hardware.
  • Drive aggressive PPA optimization and timing closure for frontier clusters.
  • Co-design chips, racks, and software for best-in-class throughput and latency.

What they offer

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

Ideal candidate

Creative first-principles thinker with deep chip implementation experience who thrives in fast-paced, in-person startup environments and cares about pushing frontier AI inference hardware to tapeout at speed.

Requirements

  • 10+ years experience with chip planning, top-level PD, and floorplanning
  • Experience with top-level and full-chip closure on advanced nodes (5nm and below)
  • Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) RTL-to-GDSII flows
  • Experience with Synopsys PrimeTime and Cadence Tempus for timing signoff
  • Experience with Pegasus or Calibre for physical verification signoff
  • Experience with hierarchical timing budgeting, constraint management, and ECO closure
  • Experience with Cadence Innovus for top-level assembly, routing, and layout fixes
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 ↗