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The Platform Architecture GPU group is looking for a talented GPU Architect with strong skills in performance analysis and development, across applications and operating system components.
Description
As part of the team, a successful candidate will:
- Analyze the performance of linear algebra and machine learning algorithms on Apple GPU platforms, pursuing investigations wherever they take you in Apple software
- With our partner teams in Software Engineering and Hardware Technologies, formulate system-level strategies to address performance problems and unlock the next level of AI performance for our users
- Help build the prototype software implementation, for simulated future hardware, then communicate what we learned to teams building production software for products
Minimum Qualifications
- BS degree
- Experience with software and hardware performance analysis and optimization
- Experience in GPU programming models such as Metal, CUDA, or similar
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or equivalent
- 15 years of relevant industry experience
- Experience with the internals of GPU drivers, compilers and/or accelerated libraries
- Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms
- Experience with distributed algorithms for HPC (for example, supercomputing)
- Experience communicating across both hardware and software organizations
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
