Senior GPU Architect - Performance and Yield Optimization
Core
Design GPU architectures to improve product yield while maintaining performance and simplicity by isolating manufacturing defects and optimizing multi-die configurations.
Role type
Senior IC GPU Architect (Performance and Yield)
Builds
GPU architectures, optimization frameworks, and analysis tools for silicon yield and performance.
Domain
Semiconductor / GPU Architecture / Manufacturing Yield
Deliverable
production ML models
Required skills
GPU architecture, computer architecture fundamentals, C++, Python, constraint-based reasoning, combinatorial optimization, multi-die architecture, silicon yield analysis, defect tolerance, resource isolation, configuration space exploration
Preferred skills
Large-scale SoC architecture, mathematical optimization, silicon/manufacturing data analysis, performance profiling, chiplet design
Technologies
C++, Python, GPU subsystems, multi-die architectures
Responsibilities
Shape GPU architectures to improve yield; analyze manufacturing defects to isolate or disable affected regions; build software tools and models for architectural constraints; develop optimization techniques for configuration spaces; evaluate yield, performance, area, and cost tradeoffs; move proposals into production across architecture, design, and silicon teams
Seniority
Senior, hands-on IC
