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Member of Technical Staff - Physical Design

Architect Labs · Palo Alto

CHECKED 21H AGO

Infrastructureonsitestaff
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At a glance

Highlights

  • Build the PD function from scratch and take chips from netlist to tapeout-ready GDS.
  • Drive full-chip implementation at 3nm, 2nm and future leading-edge nodes.
  • Co-design custom silicon for next-gen AI workloads to maximize intelligence per watt.

What they offer

  • Competitive compensation and meaningful equity
  • Autonomy to establish the PD function
  • Opportunity to shape AI-driven silicon design from implementation through tapeout

Ideal candidate

A hands-on physical design leader who has closed advanced-node chips and loves building methodology from zero. You thrive on ownership, mentoring, and turning silicon trade-offs into automated, AI-driven flows.

Requirements

  • Multiple production tapeouts with physical implementation and signoff responsibility at 3nm or 2nm and full-chip closure
  • Track record building production PD methodology from scratch for advanced nodes
  • Deep expertise in hierarchical implementation, MMMC timing, variation, clocking, congestion, low-power and power integrity
  • Hands-on mastery of Synopsys Fusion Compiler/ICC2 or Cadence Innovus and signoff tools
  • Strong Tcl and Python skills for flow automation, regressions and PPA reporting
  • Ability to independently drive closure and explain trade-offs across hardware, software and AI teams

Lab profile

About Architect Labs

Frontier AI lab for custom silicon co-designed for next-generation AI workloads.

What they build

  • Custom AI chips

Known for

  • End-to-end software-to-silicon co-design
  • Intelligence per watt and per dollar optimization
  • Expertise across silicon, systems, software and AI

Key facts

  • Small team
More about Architect Labs →
Apply on the lab’s site ↗