Software Engineer, AI for Chip Design

We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas.

You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists.

In this role, you will:

• 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 that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA).
• Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows.
• Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration.

Software Engineering, Artificial Intelligence (AI), Semiconductors, Hardware Design, Artificial Intelligence (AI), Performance Metrics, Reinforcement Learning, Software Engineering, Machine Tool, Technical Recruiting, * Have strong software engineering fundamentals, with experience designing, implementing, and debugging reliable systems.

• Can work across a stack, investigate unfamiliar failures, and make practical tradeoffs between speed, correctness, and maintainability.
• Have independently delivered substantial software projects and can explain your technical decisions and their impact.
• Are comfortable working with researchers on evolving requirements and turning open-ended problems into working software.
• Are interested in learning how reinforcement learning and chip-design tools fit together.
• Care about developing safe, beneficial AI.

Nice to have:

• Experience with research infrastructure, distributed systems, experiment orchestration, or ML tooling.
• Familiarity with reinforcement learning, model evaluations, or training workflows.
• Experience with Python, containerized tools, and reproducible development environments.
• Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation.

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity., At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.