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Physical Design Engineer - Block Level, Subsystem Implementation

Etched · San Jose

Infrastructureonsitesenior$200k–$375k
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At a glance

Highlights

  • Own block-level implementation from synthesis through GDSII sign-off.
  • Build frontier inference clusters co-designing chips, racks, and software.
  • Drive PPA optimization for blocks powering best-in-class AI throughput.

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

Creative, first-principles physical design engineer with 5-10+ years experience who thrives in fast-paced, in-person startup environments and cares about maximizing PPA for frontier AI hardware.

Requirements

  • 5-10+ years of previous experience with PD tools, flow, and design methodology from RTL synthesis to GDSII sign-off
  • Experience with back-end design and timing closure on advanced process nodes (5nm and below)
  • Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) automated RTL-to-GDSII flows
  • Experience with sign-off tools (PrimeTime, Tempus, Voltus, etc.)
  • Experience with UPF-based low power design methodology, power verification, synthesis, scan insertion/ATPG, formal verification, floorplanning, placement, CTS, routing, IR drop, and EM/antenna analysis
  • Scripting ability in Tcl, Python, or Perl for flow automation and debug
  • 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 ↗

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