Apple
GPU Benchmark Analysis Architect
$216K–$394K
Cupertino, California · Full-time · Posted Dec 5, 2025
- Experience
- 20+ years of work experience in GPU software performance optimization.
- Education
- Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
About the job
Analyze GPU workloads on Apple silicon to find performance bottlenecks and recommend improvements across GPU architecture, software, drivers, compilers, and APIs.
What you'll do
- Analyze GPU workloads and performance across devices; identify bottlenecks and implement or recommend improvements.
- Build targeted microbenchmarks and guide development of forward-looking GPU workloads.
- Provide performance feedback to silicon and software teams across architecture, implementation, driver, compiler, and API layers.
What they ask for
- Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
- Knowledge of computer architecture fundamentals and background in software engineering, performance analysis, and optimization.
- Proficiency in C/C++ family programming languages and scripting languages such as Python; experience with popular high-level graphics APIs.
- Experience developing software for GPUs and with AI, graphics, or other GPU performance benchmarks and workloads.
Nice to have
- Experience with GPU performance tools and profiling GPU workloads.
- Knowledge of operating system internals and compiler technologies.
Pay
$216,200 and $394,000 (base salary)
Tools
C/C++, Python
AI focus
Experience with AI GPU performance benchmarks and workloads; the role analyzes their performance and identifies bottlenecks.
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