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Software Engineer, AI for Chip Design

OpenAI · San Francisco

hybridunknown$266,000–$468,000Posted Sep 8, 2026PythonReinforcement LearningDistributed SystemsContainersVerilogSystemVerilogFormal VerificationEDA Tools

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About this role

## Software Engineer, AI for Chip Design ### About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. **AI for Chips** connects these efforts by applying increasingly capable AI systems to semiconductor engineering—helping engineers develop better chips and shorten design cycles. This work brings together research, model training, and hardware expertise to build tools for real designs, with **correctness** and **measurable performance** at the center. ### About the Role OpenAI is hiring a **Software Engineer** to build the research infrastructure and tooling that helps 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 work across software engineering, tool integration, and open research problems. **Prior chip-design experience is helpful, but not required**—you can learn the domain alongside hardware specialists. ### In This Role, You Will - Build and maintain infrastructure for **reinforcement learning environments**, **evaluations**, and **long-running experiments**. - Integrate **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. - Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. ### You Might Thrive If You - Have strong software engineering fundamentals and experience building/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 impact. - Enjoy 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. ### Equal Opportunity OpenAI is an equal opportunity employer and does not discriminate on protected characteristics. Background checks and accommodations are handled in accordance with applicable law. *Join us in shaping the future of technology.*

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