Principal Deep Learning Engineer – Perception, Autonomous Driving
Core
Lead the architectural vision and development of state-of-the-art deep learning perception systems for autonomous vehicles, focusing on detection, segmentation, and tracking to enable superhuman environmental understanding.
Role type
Principal Deep Learning Engineer (Autonomous Driving Perception)
Builds
Production-grade deep learning features for NVIDIA DRIVE platform used by automakers and robotaxi companies
Domain
Autonomous driving, Computer Vision, Robotics
Deliverable
production ML models
Required skills
Deep learning architecture design (Transformers, Few-Shot Learning), 3D obstacle detection, dense occupancy prediction, semantic/instance segmentation, multi-object tracking, data-centric AI strategy, Python, C++, PyTorch
Preferred skills
Edge compute deployment (NVIDIA TensorRT), model optimization and quantization, multi-modal sensor fusion (camera, lidar, radar), first-author publications at top-tier CV/ML conferences
Technologies
PyTorch, C++, Python, NVIDIA TensorRT, Transformers
Responsibilities
Architect and train modern deep learning models for perception tasks; drive end-to-end productization of perception models; identify and solve long-tail corner cases in driving environments; define data labeling guidelines and quality control metrics; mentor senior engineers and set the technical roadmap
Seniority
Principal, strategy & mentorship