Software Engineer, AI for Chip Design
Remote • San Francisco • FullTime
Posted 5d ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
We are seeking a Software Engineer to develop the research infrastructure and tooling that will enable OpenAI models to design silicon. This role involves transforming chip-design workflows into robust environments for reinforcement learning and evaluation, and empowering researchers to conduct experiments and iterate on new ideas efficiently. You will bridge software engineering, tool integration, and open research challenges, leveraging strong coding fundamentals, sound technical judgment, and the ability to work independently. While prior chip-design experience is beneficial, domain knowledge can be acquired alongside our hardware specialists.
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, and debug failures across tools, services, and infrastructure.
- Develop tooling and model harnesses for rapid researcher testing and measurement of correctness and power, performance, and area (PPA).
- Collaborate with researchers and engineers to convert successful experiments into reusable systems and training workflows.
- Own ambiguous projects from start to finish, communicate progress, and use results to inform future iterations.
Requirements
- Strong software engineering fundamentals, including experience designing, implementing, and debugging reliable systems.
- Ability to work across a technology stack, investigate unfamiliar failures, and make practical tradeoffs between speed, correctness, and maintainability.
- Proven track record of independently delivering substantial software projects and ability to articulate technical decisions and their impact.
- Comfort working with researchers on evolving requirements and translating open-ended problems into functional software.
- Interest in understanding the interplay between reinforcement learning and chip-design tools.
- Commitment to developing safe and beneficial AI.