About The Position
NVIDIA is pioneering the future of autonomous driving with its comprehensive platform, NVIDIA DRIVE, utilized by hundreds of companies globally. We are seeking a world-class Principal Deep Learning Engineer to join our Autonomous Driving Perception team. This role involves leading the development of cutting-edge perception systems that enable vehicles to understand their environment with exceptional accuracy. The engineer will guide the architectural vision for core deep learning models focused on detection, segmentation, and tracking, transitioning these technologies from research to production.
Requirements
- Ph.D. or MS in Computer Science, Robotics, Machine Learning, Computer Vision, or a related field (or equivalent experience).
- 8+ 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 in building architectures for object detection, occupancy networks, semantic/instance segmentation, and temporal tracking.
- Strong intuition for data-centric AI, with proven experience managing massive datasets, defining labeling taxonomies, and building automated pipelines to surface hard examples and edge cases.
- Strong programming skills in Python and C++.
- Experience using deep learning frameworks like PyTorch.
Nice To Haves
- Prior experience specifically 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).
Responsibilities
- Develop, train, and deploy modern, state-of-the-art deep learning architectures (e.g., Transformers, variants of Transformers, Few Shots Learning) for 3D obstacle detection, dense occupancy prediction, semantic segmentation, and multi-object tracking.
- Drive the end-to-end productization of perception models, ensuring robust, production-grade deep learning features are shipped to global automotive customers, meeting high standards of safety and quality.
- Champion a rigorous, safety-critical development process by proactively identifying, mining, and solving long-tail corner cases in complex urban and highway driving environments.
- Define data labeling guidelines, establish quality control metrics, and collaborate with data operations to ensure high-fidelity ground truth for sophisticated perception tasks.
- Mentor senior engineers, influence cross-functional teams (planning, mapping, and infrastructure), and set the technical roadmap for next-generation perception architectures.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
