Performance Architect

Preferred qualifications:

• Master’s degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture.
• Experience with CPU, GPU, Fabric and Cache performance model development, performance analysis, and workload characterization.
• Experience with advanced CPU techniques such as AI engines, branch predictors, IFU, LSU, and advanced prefetching algorithms.
• Knowledge of CPU memory system architecture.
• Familiarity with techniques such as simpoints generation methodology for standard CPU performance benchmarks.