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Design Verification Engineer

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremoteMid-level$226k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Verify custom ML accelerators powering next-gen frontier models.
  • Own verification from IP blocks to full SoC for AI-native silicon.
  • Co-design chips and systems for OpenAI supercomputing platform.

What they offer

  • Equity

Ideal candidate

Experienced verification engineer who thrives in fast-paced, cross-disciplinary teams and is passionate about delivering reliable, production-ready silicon for frontier AI.

Requirements

  • BS/MS in EE/CE/CS or equivalent with 3+ years of hardware verification experience
  • Proven success verifying complex IP or SoC designs in industry-standard flows
  • Proficient in SystemVerilog, UVM, and simulation/debug tools (e.g., VCS, Questa, Verdi)
  • Strong knowledge of computer architecture, memory/cache, coherency, interconnects and/or ML compute
  • Familiarity with performance modeling, formal verification, or emulation is a plus
  • Experience in fast-paced, cross-disciplinary teams building reliable hardware

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 ↗