Job Description

The hardest problems are the ones worth solving. We believe that meaningful progress comes from pushing past where it's easy to stop, and that a team with the right people and relentless drive can outperform even its own ambitions.

We're looking for highly motivated, innovative engineers to join the GPU Performance Modelling Team, the group driving advanced exploration of Apple's next-generation GPU architectures and micro-architectures. It's a highly visible role at the heart of the chip design effort, working across every discipline involved, with a direct hand in getting high-performance products into the hands of millions of customers. This isn't easy work, but if you've been looking for a place where ambition and craft genuinely matter, you've found it.

Every generation of Apple silicon raises the bar for what a GPU and SOC can do: more performance, more efficiency, in tighter power envelopes than the industry thought possible. As a Performance Architect on this team, you'll help decide where that bar goes next.

You'll join a group shaping the architecture of Apple's GPU and SOC from the ground up, researching the ideas that turn into the next leap forward. The work is deeply collaborative: you'll partner with teams across software and hardware engineering to pressure-test ideas, refine the promising ones, and plant the seeds for new ones. You'll dig into the workloads that matter, across both today's products and tomorrow's categories, to find the bottlenecks worth solving and the opportunities worth chasing.

In this role, you will:
- Research and propose novel ideas that help shape Apple's platform direction
- Prototype architectural and micro-architectural concepts in our existing C++ performance models
- Gather, analyze, and validate measured and simulated results to identify bottlenecks and evaluate new ideas
- Present findings and recommendations to peers and leadership
- Collaborate with multi-functional teams to turn ideas into shipped architecture

If you're energized by working at the edge of what silicon can do, and want to see your ideas land in products used by hundreds of millions of people, we'd love to talk.

Preferred Qualifications

Familiar with common data structures, algorithms, and design patterns
Working knowledge of C++ and Python
Comfortable working in uncertain environments and through ambiguity
Strong communicator who can influence decisions and negotiate trade-offs

Minimum Qualifications

Good knowledge of computer architecture and micro-architecture — CPU, GPU, SOC, or adjacent domains
Hands-on experience with performance and/or power simulation environments
Skilled at analyzing and characterizing complex workloads