Principal Deep Learning Engineer - Perception, Autonomous Driving

NVIDIA is pioneering the future of autonomous driving! Our comprehensive autonomous driving platform, NVIDIA DRIVE, is used by hundreds of automakers, truck makers, tier‑1 suppliers, and robotaxi companies globally. We are looking for a world‑class Principal Deep Learning Engineer to join our Autonomous Driving Perception team. In this highly impactful role, you will lead the development of state‑of‑the‑art perception systems that enable our vehicles to understand their environment with superhuman accuracy! Responsibilities Architect and Innovate: develop, train, and deploy modern state‑of‑the‑art deep learning architectures (e.g., Transformers, variants of Transformers, few‑shot learning) for 3D obstacle detection, dense occupancy prediction, semantic segmentation, and multi‑object tracking. Ship High‑Quality Products: drive the end‑to‑end productization of perception models, shipping robust, production‑grade deep learning features to our global automotive customers and ensuring they meet the highest safety and quality standards. Lead Corner‑Case‑Driven Development: champion a rigorous, safety‑critical development process, proactively identifying, mining, and solving long‑tail corner cases in sophisticated urban and highway driving environments. Define Data Strategy: act as the technical authority on data quality, defining labeling guidelines, establishing quality‑control metrics, and working closely with data operations to ensure high‑fidelity ground truth for sophisticated perception tasks. Technical Leadership: serve as a technical pillar for the perception organization, mentoring senior engineers, influencing cross‑functional teams, and setting the technical roadmap for next‑generation perception architectures. Qualifications Ph.D. or M.S. in Computer Science, Robotics, Machine Learning, Computer Vision, or a related field (or equivalent experience). 12+ years of applied research and software engineering experience, with a heavy emphasis on deep learning for computer vision. Demonstrated success as a lead technical contributor in shipping commercial, high‑quality deep learning software products to end customers. Deep foundational knowledge and hands‑on experience building architectures for object detection, occupancy networks, semantic/instance segmentation, and temporal tracking. Strong intuition for data‑centric AI, proven experience handling massive datasets, defining labeling taxonomies, and building automated pipelines to surface hard examples and edge cases. Strong programming skills in Python and C++, with experience using deep learning frameworks such as PyTorch. Ways to Stand Out from the Crowd Prior experience within the autonomous driving or robotics industry shipping models deployed on edge compute. Experience with model optimization, quantization, and deployment on embedded platforms (especially using NVIDIA TensorRT). First‑author publications at top‑tier computer vision or machine learning conferences (e.g., CVPR, ICCV, ECCV, NeurIPS). Experience designing multi‑modal perception systems (camera, LiDAR, radar fusion). Compensation and Benefits The base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is 272,000USD–431,250USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 27, 2026. This posting is for an existing vacancy. Equal Opportunity NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal‑opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA Corporation