Chip Design AI Engineer - Research Infra & Tools

Triwill Group; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

OpenAI in San Francisco is hiring a Software Engineer to build research infrastructure and tooling for silicon design, reinforcement learning, and evaluation. You will bridge software engineering, tool integration, and open research challenges, emphasizing reliable systems and independent execution.

You will collaborate with researchers to turn successful experiments into reusable training workflows, while maintaining strong coding fundamentals and a drive to learn chip-design tooling and RL

Qualifications

• Strong software engineering fundamentals, ability to design, implement and debug reliable systems.
• Ability to work across a stack and trade off speed, correctness, and maintainability.
• Experience delivering substantial software projects and communicating technical decisions.

Responsibilities

• Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments.
• Integrate EDA tools into RTL generation, verification, and physical design optimization workflows.
• Improve experiment reliability, reproducibility, observability, and performance; debug across tools and infrastructure.
• Develop tooling and model harnesses for rapid testing, correctness, performance, and power/area metrics.
• Collaborate with researchers and engineers to turn experiments into reusable systems and training workflows.
• Own ambiguous projects end to end and communicate progress to guide iterations.

Skills

Software fundamentals

Cross-stack debugging

Experiment reliability

Independence in execution

Communication of decisions

Tools

Python

Containerization

Reproducible environments

RTL/Verilog

EDA tools

Formal verification

Job description

OpenAI in San Francisco is hiring a Software Engineer to build research infrastructure and tooling for silicon design, reinforcement learning, and evaluation. You will bridge software engineering, tool integration, and open research challenges, emphasizing reliable systems and independent execution.

You will collaborate with researchers to turn successful experiments into reusable training workflows, while maintaining strong coding fundamentals and a drive to learn chip-design tooling and RL