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 others 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. Its 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 youll do more than join something youll add 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.

Join the Apple Vision Pro team as a System Compute Architect where youll 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 this role youll analyze architectural options against critical engineering trade-offs including power performance cost and quality. Youll 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.

Understanding of computer architecture concepts particularly SoC CPU GPU and Neural accelerator design and system-level optimizationnProficiency in system-level modeling and analysis for data flows performance and power optimizationnStrong programming skills in Python with experience in performance modeling and simulation frameworksnExcellent communication presentation and interpersonal skills for cross-functional collaboration and executive presentationsnBachelors Masters or PhD degree in Computer Engineering Electrical Engineering Computer Science or related fieldn3 years of equivalent practical experience in performance modeling or system architecture

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