Backed by Greylock, Insight and Khosla.
About the role
We’re looking for an ML Silicon Performance Lead to drive hardware/software co-design for our silicon architecture. You will work across models, kernels, compilers, and silicon to shape how ML workloads map to hardware—and how the hardware should evolve to support them. Your work will connect model and workload requirements with compute, memory, and specialized acceleration capabilities to maximize performance, efficiency, and scalability across current and future generations of AI silicon. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.
We’re looking for an ML Silicon Performance Lead to drive hardware/software co-design for our silicon architecture. You will work across models, kernels, compilers, and silicon to shape how ML workloads map to hardware—and how the hardware should evolve to support them. Your work will connect model and workload requirements with compute, memory, and specialized acceleration capabilities to maximize performance, efficiency, and scalability across current and future generations of AI silicon.
You’ll partner closely with ML research, compiler, and silicon architecture teams to jointly develop software approaches and hardware capabilities. From kernel mapping and quantization to new data structures and...
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