GPU Software Optimization Engineer, Platform Architecture

Cupertino, California, United States


Role Number:200537976
Come join a world class group in Platform Architecture focused on low level software performance optimization. We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture Software Performance Optimization Team. We are a group that is driving performance improvements in software running on Apple silicon as well as Apple software and hardware itself. Join us!

Key Qualifications

  • Expert background in software engineering, tools, methods, and the performance optimization process;
  • Strong knowledge and experience in GPU/CPU/SoC architecture and micro-architecture, or performance analysis with an emphasis on hardware/software co-design and the intersection between software and hardware;
  • Strong software development skills and proficiency in some of C/C++ family programming languages, and scripting languages such as Python;
  • Knowledge and experience with GPU performance benchmarks and workloads;
  • Knowledge of low-level graphics APIs, GPU software stacks, operating system internals, and compiler technology a plus;
  • Strong interpersonal skills and creativity to help the team solve performance challenges


In this role you will work on the analysis of existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues you will address performance limitations and deliver recommendations for Apple hardware and software improvements. In addition to working with developers directly, you’ll identify patterns of performance challenges on Apple silicon, emerging new usage models, and feed back findings into the silicon and software teams for potential improvements.

Education & Experience

BS and a minimum 10 years relevant work experience. Degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related fields preferred.

Additional Requirements

Pay & Benefits