Research-Hardware Codesign Engineer

Who you are

You have a strong background in hardware engineering, particularly in the context of AI workloads — your experience includes working with silicon and system-level solutions that meet the demands of advanced AI applications. You are comfortable operating at the intersection of model research and silicon architecture, and you thrive on tackling complex problems that require innovative solutions. Your expertise in programming languages such as Python and C++ allows you to write quantization kernels and debug performance issues effectively. You possess excellent communication skills, enabling you to collaborate closely with both research and hardware teams to ensure that hardware is optimized for AI models.

Desirable

Experience with embedded systems and familiarity with performance simulation tools would be advantageous. A background in AI or machine learning would also enhance your ability to contribute to the team’s goals. You are proactive in seeking out challenges and are committed to driving projects to production.

What you'll do

In this role, you will build on OpenAI's roofline simulator to analyze evolving workloads and quantify the impact of architectural decisions on performance. You will be responsible for debugging gaps between performance simulations and real-world outcomes, ensuring that the silicon developed meets the high standards required for AI applications. Your work will involve writing and optimizing quantization kernels, as well as evaluating system architecture trade-offs to support technology pathfinding. You will collaborate with cross-functional teams, including software and research partners, to co-design hardware that is tightly integrated with AI models. Your hands-on approach will be essential in driving projects from conception through to production, and you will play a key role in shaping the future of OpenAI's silicon technology.

What we offer

OpenAI provides a dynamic work environment where innovation is encouraged and supported. You will have the opportunity to work on cutting-edge technology that has the potential to impact the future of AI. The company offers relocation assistance for those moving to San Francisco and promotes a hybrid work model, allowing for flexibility in your work schedule. You will be part of a team that values collaboration and clear communication, and you will have the chance to contribute to meaningful projects that push the boundaries of what is possible in AI hardware design.