8 hours ago
Responsibilities
- Analyze existing and new workloads to identify hardware and software performance bottlenecks.
- Recommend hardware and software improvements in collaboration with developers and silicon teams.
- Identify recurring performance challenges on Apple Silicon and assess emerging usage models.
- Prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms.
- Analyze performance metrics and create high-level complexity models or develop efficient low-level performance libraries for AI/ML accelerators and GPUs.
Requirements
- Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
- Software development experience involving AI/ML hardware accelerators, GPUs, image/video encoders, or similar hardware IP.
- Experience with AI/ML, graphics, or HPC performance benchmarks and workloads.
- Preferred: M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
- Preferred: 10+ years of experience in software performance optimization, performance analysis tools, optimization processes, and efficient computational algorithm development.
- Knowledge of computer architecture fundamentals, operating system internals, and compiler technologies.
- Proficiency in C/C++ family programming languages and scripting languages such as Python.
- Proficiency in AI/ML frameworks such as PyTorch and relevant software stacks.
- Ability to collaborate effectively with team members, partners, and stakeholders.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.