ML Silicon Performance Lead

The role

You will drive hardware/software co-design for silicon architecture. You will work across models, kernels, compilers, and silicon to maximize performance, efficiency, and scalability for AI workloads.

What you will do

• Drive hardware/software co-design across ML research, compiler, and silicon teams.
• Translate model and workload needs into kernel performance targets and hardware requirements.
• Map and optimize ML kernels for architecture.
• Co-design support for new data structures and quantization formats.
• Define and help develop specialized acceleration IP.
• Drive ML performance modeling and simulation with the compiler team.
• Partner with the Silicon Architecture lead to specify and validate new IP.

Required qualifications

• Deep experience with ML accelerator architecture and how compute resources, memory systems, and data movement shape workload performance.
• Ability to translate model-level behavior into concrete kernel requirements and hardware design decisions.
• Experience building or using accelerator performance models and simulators.
• Hands-on experience optimizing ML kernels.
• Understanding of quantization and numerical formats.
• Experience with hardware/software co-design.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.