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OpenAI

Software Engineer, Silicon Design Methodology

San Francisco (Remote)$225k–$380kfulltimemidAdded today

About this role

OpenAI's Hardware organization seeks a software engineer to develop design methodologies, tools, and infrastructure that accelerate custom AI-native silicon development. You'll build high-quality software abstractions and automated workflows that improve velocity and confidence across architecture, design, verification, and systems teams.

What you'll do

  • Develop and scale design methodologies for rapid first-party chip development
  • Create abstractions for consistent representation of hardware structures, configurations, and results across tools
  • Automate engineering workflows and improve reproducibility, observability, and testability
  • Partner with architects, RTL designers, verification engineers, and systems software teams to gather requirements and implement solutions
  • Use methodology and tooling to identify design risks early and accelerate iteration cycles
  • Contribute across multiple aspects of silicon development as the program and methodology evolve

What they're looking for

  • C++, Python, Rust, or similar systems-oriented programming languages
  • Digital design and computer architecture understanding
  • Engineering infrastructure and developer tools experience
  • RTL and IP component integration into SoCs
  • API, object model, and data model design for complex systems
  • Multi-stage workflow automation and regression system building
  • Cross-functional reasoning across architecture, design, verification, and performance modeling
  • EDA/CAD tooling, simulation frameworks, compilers, or verification systems experience
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Describe a complex engineering workflow you automated—what were the key challenges in capturing cross-team requirements?
  • How would you design a data model to represent hardware configurations, experiments, and results in a way that multiple tools can consume?
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