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Software Engineer, Silicon Design Methodology

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labremote$225k–$380k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build methodology and tooling to help a small team ship complex custom chips.
  • Co-design AI-native silicon and systems for next-generation frontier models.
  • Unify hardware configurations and results consistently across diverse tools.

What they offer

  • Equity

Ideal candidate

A software-minded builder who loves turning ambiguous hardware needs into durable tools. You partner closely with domain experts and thrive improving velocity and quality in fast-evolving silicon programs.

Requirements

  • Strong software engineering skills in C++, Python, Rust, or similar systems-oriented languages
  • Experience building engineering infrastructure, developer tools, simulation frameworks, EDA/CAD tooling, compilers, or verification systems
  • Understanding of digital design and computer architecture to translate silicon needs into software abstractions
  • Experience integrating RTL and IP components into an SoC
  • Experience designing APIs, object models, or data models for complex systems
  • Experience automating multi-stage workflows and building regression systems with reproducibility

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 ↗