Director, Perception - Autonomous Vehicles

What you'll do

• Manage, mentor, and grow teams of engineering managers, researchers, and software engineers.
• Set architecture direction and oversee the machine-learning lifecycle through deployment on NVIDIA DRIVE platforms.
• Coordinate with Planning and Control, Mapping, Hardware, and Safety teams; ensure integration and automotive quality and safety standards.

What they ask for

• Ph.D. or master's degree in a related field, or equivalent experience.
• 10+ years of industry experience in deep learning, computer vision, or autonomous robotics, including 5+ years in senior leadership managing large teams or multiple management layers.
• Hands-on expertise in modern network architectures and multi-sensor fusion.
• Track record deploying production-grade, safety-critical machine-learning models to edge or embedded platforms; foundational knowledge of Python, C++, and deep-learning frameworks.

Nice to have

• Success shipping autonomous-vehicle software to mass production; top-tier publications or significant open-source contributions.
• Experience with end-to-end autonomous driving, Large Vision Models, sim-to-real transfer, or hardware-software co-design for NVIDIA GPUs.

Pay

320,000 USD - 488,750 USD (base salary)

Tools

Transformers, BEV, Occupancy Networks, Vision-Language-Action models, CNNs, Python, C++, PyTorch

AI focus

Leads development of deep-learning perception models, multi-sensor fusion, 3D world reconstruction, and the machine-learning lifecycle from data generation and training through acceleration and deployment.