CPU Research Scientist
Santa Clara Valley (Cupertino), California, United States
Do you have an uncommon desire to seek out and solve exceedingly difficult challenges rather than the easy ones? Do you believe that a world-class team with relentless drive can surpass even their own high expectations? We do! But we also realize this job isn’t for everyone. What we do isn’t easy but you don’t take the easy path. We are seeking a highly motivated, innovative, and confident individuals to join the CPU Architecture and Performance Team; we are a group that is driving advanced exploration for next generation iPhone, iPad, and Mac CPU architectures.
- Experience and knowledge of CPU architecture and micro-architecture concepts, expertise in one or multiple CPU focused areas.
- Ability to identify performance bottlenecks in workloads, craft ideas to solve them and implement those ideas in the performance simulator.
- Proficient in C/C++ and a scripting language such as Perl or Python.
- Knowledge and experience with common industry performance benchmarks and
The CPU Platform Architecture team is responsible for setting direction for Apple CPUs towards high performance futuristic micro-architecture ideas. We want to push the boundaries of CPU performance to enhance user experience on Apple products through advanced CPU performance features. In this role you will: • Solve performance problems involving branch prediction, data/code prefetching, cache hierarchy or other CPU areas. • Build the right tools suited for performance bottleneck analysis so that you can parse through the noise and focus on the real problem. • Apply state of the art AI/ML techniques to solve CPU performance issues as necessary. • Conduct continuous research into one or more CPU areas and provide guidance to Apple CPU design team on features that should be implemented in future CPUs. • Present analysis/findings to CPU architecture and design teams. • Provide recommendations and influence the roadmap for future Apple CPUs used in iPhone, iPad and Mac systems.
Education & Experience
PhD in Computer Science or Computer Engineering with focus on Computer Architecture.