About The Position

The Vision Product Group is working on exciting new technologies. We are looking for a driven and dedicated performance engineer. This team is building the core foundational platform for some of Apple"s most advanced technologies in spatial computing. As part of our creative organization, you will have a uniquely rewarding opportunity to craft future products that will delight and inspire millions of people every day. This role focuses on optimizing AR/VR system software to deliver high-performance, low-latency, and visually buttery-smooth immersive experiences on custom hardware. You will analyze and improve performance across the full stack—including rendering, GPU/graphics, runtime, OS, and hardware—to ensure smooth frame rates, minimal motion-to-photon latency, and scalable real-time performance. The work combines deep performance investigation, systems optimization, and AI-assisted tooling to push the boundaries of spatial computing.

Requirements

  • A minimum B.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
  • 2+ years of experience in software development, system software, performance engineering, or a related technical area.
  • Experience programming in one or more languages such as C, C++, Python, or similar languages.
  • Understanding of computer architecture, operating systems, memory hierarchy, concurrency, and software performance fundamentals.
  • Experience analyzing software performance using profiling, tracing, benchmarking, and performance analysis tools.
  • Ability to quickly learn new software stacks, technologies, and performance methodologies.
  • Demonstrated ability to communicate technical findings clearly and collaborate effectively with cross-functional teams.

Nice To Haves

  • Familiarity with AI-assisted development tools and willingness to adopt emerging AI technologies to improve engineering effectiveness.
  • Experience with macOS/iOS kernel, drivers, compilers, runtimes, or embedded systems.
  • Experience analyzing and optimizing graphics, gaming, or real-time interactive application performance.
  • Experience using GPU profiling and performance analysis tools to identify rendering bottlenecks, GPU stalls, memory inefficiencies, and synchronization issues.
  • Experience optimizing frame time, frame rate, input latency, power efficiency, and thermal behavior for interactive applications.
  • Understanding of AR/VR performance challenges, including motion-to-photon latency, frame stability, asynchronous processing, and maintaining a smooth immersive user experience.
  • Familiarity with Computer Vision, Transformers, and LLM architectures.
  • Knowledge of AI/ML fundamentals including model evaluation and deployment/inference.

Responsibilities

  • Optimize system software to improve performance, efficiency, and scalability on custom hardware platforms.
  • Develop AI tooling for Perf and apply AI technologies and automation tools to accelerate performance analysis, improve workflows, and solve engineering challenges.
  • Analyze performance data to identify bottlenecks, root-cause regressions, and validate optimization improvements.
  • Define user-centric, resource-utilization, and efficiency metrics to guide performance analysis and optimization efforts.
  • Develop instrumentation, profiling workflows, and custom tools to improve observability, debugging, and engineering productivity.
  • Evaluate multiple optimization approaches, make data-driven trade-off decisions, and experiment with new performance improvement strategies.
  • Collaborate across teams to investigate complex issues, communicate with leadership about technical findings, and share performance best practices.
  • Design performance tests, benchmarking frameworks, and dashboards to continuously monitor performance health.
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