#200574211-3
ottlenecks and drive improvements to performance through architectural and microarchitectural enhancements - Set direction for next-generation high performance CPU's in such areas as: branch prediction, instruction/data prefetching, memory subsystem, or other CPU areas - Build the right tools suited for performance analysis so that you can parse through the noise and focus on the real challenges - Apply AI/ML techniques as both a tool for exploration and for CPU algorithmic feature improvement - Conduct continuous research into one or more CPU areas, brainstorm ideas, and model ideas in a performance simulator to refine and prove their utility - Present analysis/findings to guide CPU architecture and design teams on features that should be implemented in future CPU's - Work cross-functionally with software and system partners - Provide recommendations and influence the roadmap for future Apple CPU's used in iPhone, iPad, and Mac systems
Minimum Qualifications
B.S. degree
Familiarity with CPU architecture or microarchitecture concepts
Research experience and knowledge of CPU microarchitecture or AI/ML literature
Programming experience in either Python or C/C++
Preferred Qualifications
Expertise in one or more disciplines within CPU architecture: branch prediction, instruction or data prefetching, value prediction, caching policies, etc.
Ability to identify performance bottlenecks in workloads in effort to craft ideas to solve them and ability to implement those ideas in a performance simulator
Experience applying traditional or state-of-the-art machine learning techniques to novel problems. Knowledge of model development and tuning a plus
Knowledge and experience with common industry performance benchmarks and workloads
10+ years of relevant experience
PhD in Computer Science or Computer Engineering with a focus in Computer Architecture
Additional Requirements
More