Senior AI Architect, Foundation Models and SoC Co-Design – Autonomous Vehicles

What you'll do

• Research and forecast emerging AI model architectures for future autonomous vehicle stacks.
• Drive hardware-software co-design across next-generation AI workloads and NVIDIA embedded SoCs.
• Analyze compute, memory, bandwidth, and latency characteristics of sophisticated AI architectures.
• Develop architectural insights to influence future NVIDIA silicon design decisions through workload characterization.
• Prototype and evaluate emerging model paradigms on NVIDIA DRIVE platforms for scalability and efficiency.

What we're looking for

• MS, PhD, or equivalent experience in Computer Science, Electrical Engineering, Machine Learning, Robotics, or related field.
• 12+ years of experience in AI/ML systems, deep learning architecture, or hardware/software co-design.
• Deep expertise in modern AI architectures and large-scale model systems.
• Experience mapping AI workloads onto heterogeneous compute architectures including GPUs, CPUs, NPUs/DLAs, DSPs, and memory subsystems.
• Solid understanding of distributed training systems, scaling laws, and inference optimization techniques.
• Expertise in sophisticated AI efficiency techniques such as FP8/FP4 inference, Mixture-of-Experts routing, Streaming attention, and KV-cache optimization.