Skip to content
← OpenAI

Physical Design Engineer

OpenAI · San Francisco

CHECKED 35M AGO

Frontier labonsite$266k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Deliver PPA-optimized datapath and interconnect for next-gen AI accelerators.
  • Own block implementation from floorplanning through final signoff.
  • Help power frontier models with AI-native silicon and systems.

What they offer

  • Equity

Ideal candidate

A hands-on physical design engineer energized by PPA optimization and methodology building who thrives partnering with RTL designers to ship complex AI accelerator silicon.

Requirements

  • BS with 4+ years or MS with 2+ years or PhD with 0-1 years of relevant industry experience in physical design and methodology development
  • Demonstrated success in taping out complex silicon designs
  • Hands-on experience with block physical implementation and PPA convergence
  • Strong coding experience with Python, Bazel, and TCL
  • Strong experience building physical design tools, flows, and methodologies
  • Strong understanding of microarchitecture, RTL design, physical design, circuit design, physical verification, and timing closure
  • Deep familiarity with industry-standard tools and flows for physical synthesis, PNR, LEC, and power estimation

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗