Director, Perception - Autonomous Vehicles

Responsibilities

• Lead and Inspire
• Manage, mentor, and scale a high-performing organization of engineering managers, applied researchers, and software engineers dedicated to autonomous vehicle perception.
• Drive the Architecture: Guide the strategic direction, design, and execution of modern network architectures (e.g., Transformers, BEV, Occupancy Networks, Vision-Language-Action models) for multi-sensor fusion (camera, LiDAR, radar) and real-time 3D world reconstruction.
• End-to-End Ownership
• Oversee the entire machine learning lifecycle—from active learning, data mining, and synthetic data generation to model training, model performance acceleration, and deployment on NVIDIA DRIVE platforms (Orin/Thor).
• Cross-Functional Teamwork
• Partner closely with leaders across Planning and Control, Mapping, Hardware, and Safety teams to ensure seamless integration of the perception stack and alignment on AV system-level metrics.
• Cultivate Excellence: Foster a culture of radical ownership, high-velocity execution, and continuous innovation. Ensure all algorithms and production code adhere to strict automotive quality and safety standards (e.g., ISO 26262).
• What we need to see
• Ph.D. or master's degree in computer science, Robotics, Artificial Intelligence, visual computing, or a related field (or equivalent experience).

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