ML Silicon Performance Lead
Core
Drive hardware/software co-design for AI-native silicon to maximize performance, efficiency, and scalability for frontier AI models.
Role type
Senior IC ML Silicon Performance Lead
Builds
AI-native silicon chips, system-level solutions, and specialized acceleration IP for OpenAI's supercomputing platform
Domain
AI Hardware / Silicon Architecture / Machine Learning
Deliverable
production ML models
Required skills
ML accelerator architecture, hardware/software co-design, kernel optimization, performance modeling and simulation, quantization and numerical formats, data movement and memory hierarchy analysis, specialized IP definition
Preferred skills
Experience with compiler teams, model-to-hardware mapping, validation of performance assumptions
Technologies
ML kernels, compilers, silicon architecture, quantization formats, performance simulators
Responsibilities
Drive hardware/software co-design across ML research, compiler, and silicon teams; Map and optimize ML kernels for architecture; Co-design support for new data structures and quantization formats; Define and develop specialized acceleration IP; Drive ML performance modeling and simulation; Partner with Silicon Architecture lead to specify and validate new IP
