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
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