Systems Compute Architect - Apple Vision Pro

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something. Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us.

Description

Join the Apple Vision Pro team as a System Compute Architect, where you'll drive system level optimization for our spatial computing platform. You will develop comprehensive models for power, performance, and timing analysis while driving overall optimization through deep collaboration with software, algorithms, and cross-functional teams. In this role, you'll analyze architectural options against critical engineering trade-offs including power, performance, cost, and quality. You'll define system-level features, author detailed functional requirements, and challenge performance decisions with innovative ideas. Your analysis and work will guide key systems engineering decisions on high-performance, low-power designs that deliver the exceptional user experience Apple Vision Pro demands.

Minimum Qualifications

Understanding of computer architecture concepts, particularly SoC, CPU, GPU and Neural accelerator design and system-level optimization
Proficiency in system-level modeling and analysis for data flows, performance, and power optimization
Strong programming skills in Python with experience in performance modeling and simulation frameworks
Excellent communication, presentation, and interpersonal skills for cross-functional collaboration and executive presentations
Bachelor's, Master's, or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
3+ years of equivalent practical experience in performance modeling or system architecture

Preferred Qualifications

Domain experience in VR/MR systems and spatial computing technologies
Strong understanding of software stack including computer vision algorithms, firmware, OS, and applications
Familiarity with camera sensor technologies, ISP and display processing, and real-time computer vision
Experience in real-time system constraints analysis and optimization