Principal Performance Architect United States California Mountain View

Job description

Actively collaborate with architects, and provide critical feedback for future SoC Use models to analyze performance bottlenecks in SoC for critical AI workloads Opportunities for performance and power optimizations, and trade-offs on AI accelerators Develop and test SoC and IP models, including model integration Continuous collaboration with design and performance verification teams to close on SoC performance Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience. MS or PhD in relevant CS/EE/CE Experience in architecture and workload analysis on GPUs 4+ years of experience with Python, C, C++ 6+ years of experience with performance modeling at various levels of abstraction, and analysis