AI Systems Engineer

Key responsibilities: Define multi-generation hardware architecture strategy for AI inference and training systems across VR, AR, and wearable device platforms Lead system-level architectural exploration and trade-off analysis for on-device AI workloads, focusing on compute, memory hierarchy, and power delivery Architect end-to-end camera and imaging pipelines for real-time computer vision and perception applications

Required qualifications: 12+ years of experience in hardware systems architecture with a focus on AI, ML, or imaging systems Deep expertise in camera pipeline architecture and image signal processing (ISP) design Experience defining SoC or system-level architecture for AI inference or training workloads Experience architecting imaging subsystems for real-time computer vision applications Familiarity with hardware-software co-design methodologies for on-device AI and imaging workloads