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Apple GPU Engineer Platform Architecture United States, California, Cupertino 986983079
21.04.2025
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The Platform Architecture GPU group is looking for a talented GPU Engineer with strong skills in performance analysis and development, across applications and operating system components.
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
- BS degree
- Experience with software and hardware performance analysis and optimization
- Familiarity with GPU programming models such as Metal, CUDA, or similar
- MS or PhD in Computer Science, Electrical Engineering, or equivalent
- 3+ 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)
- Ability to communicate across both hardware and software organizations
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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