Software Engineer, AI for Chip Design

OpenAI
San Francisco
Workplace: HybridFull timeUSD 266,000 - 468,000 annuallyFunction: Software EngineeringSkills: ["Independent execution","Technical judgment","Clear communication","Debugging","Cross-functional collaboration"]

Build research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable reinforcement learning and evaluation environments, integrate EDA tools for RTL generation, verification, and physical optimization, and improve reliability, reproducibility, observability, and performance. Develop model harnesses for measuring correctness and power, performance, and area (PPA), collaborate with researchers to operationalize successful experiments, and own ambiguous projects end to end.

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FursaFursa
OpenAI
OpenAI
2 days ago

Software Engineer, AI for Chip Design

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable reinforcement learning and evaluation environments, integrate EDA tools for RTL generation, verification, and physical optimization, and improve reliability, reproducibility, observability, and performance. Develop model harnesses for measuring correctness and power, performance, and area (PPA), collaborate with researchers to operationalize successful experiments, and own ambiguous projects end to end.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments.
  • •Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization.
  • •Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure.
  • •Develop tooling and model harnesses to help researchers test ideas quickly and measure correctness and PPA (power, performance, area).
  • •Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows.

Pay and Benefits

Salary: USD 266,000 - 468,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Strong software engineering fundamentals, including designing, implementing, and debugging reliable systems.
  • •Experience designing, integrating, and debugging tools/services across a stack while making practical tradeoffs between speed, correctness, and maintainability.
  • •Ability to independently deliver substantial software projects and clearly explain technical decisions and their impact.
  • •Comfort working with researchers as requirements evolve and turning open-ended problems into working software.
  • •Interest in learning how reinforcement learning and chip-design tools fit together, with help from hardware specialists.
Experience:Reinforcement learningHardware designSemiconductorDistributed systemsML toolingResearch infrastructure
Skills:Independent executionTechnical judgmentClear communicationDebuggingCross-functional collaboration
Tech Stack:PythonContainersContainerized toolsReinforcement learningExperiment orchestrationReproducible development environmentsRTLVerilogSystemVerilogEDA toolsFormal verificationDistributed systemsEvaluationsTraining workflowsRTL generationVerificationPhysical design optimization

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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