Principal Deep Learning Engineer – Perception, Autonomous Driving
at Nvidia
USD 272,000-431,200 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
Machine Learning @ 4
Leadership @ 6
Planning @ 6
Technical Leadership @ 6
PyTorch @ 7
Deep Learning @ 4
AI @ 4
Computer Vision @ 4
Robotics @ 4
TensorRT @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is pioneering the future of autonomous driving through its NVIDIA DRIVE platform used by automakers, truck makers, tier-1 suppliers, and robotaxi companies worldwide. This role is for a Principal Deep Learning Engineer on the Autonomous Driving Perception team, leading the development and productionization of state-of-the-art perception systems for vehicles.
Responsibilities
- Architect and innovate modern deep learning architectures (e.g., Transformers and variants, few-shot learning) for 3D obstacle detection, dense occupancy prediction, semantic segmentation, and multi-object tracking.
- Develop, train, and deploy production-grade deep learning models to global automotive customers, ensuring safety and high quality.
- Drive end-to-end productization of perception models with ownership of shipping robust features to customers.
- Lead corner-case driven development: identify, mine, and solve long-tail corner cases in urban and highway driving.
- Define data strategy and technical authority on data quality: establish labeling guidelines, quality-control metrics, and work with data operations to ensure high-fidelity ground truth.
- Provide technical leadership and mentorship for senior engineers; influence cross-functional teams (planning, mapping, infrastructure) and set the technical roadmap for next-generation perception architectures.
Requirements
- Ph.D. or MS 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 heavy emphasis on deep learning for computer vision.
- Proven track record as a lead technical contributor shipping commercial, high-quality deep learning software products.
- Deep foundational knowledge and hands-on experience building architectures for object detection, occupancy networks, semantic/instance segmentation, and temporal tracking.
- Strong data intuition and 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++, and experience with deep learning frameworks such as PyTorch.
Ways to stand out
- Prior experience in autonomous driving or robotics 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 CV/ML conferences (CVPR, ICCV, ECCV, NeurIPS).
- Experience designing multi-modal perception systems (camera, lidar, radar fusion).
Compensation & other details
- Base salary range: 272,000 USD - 431,250 USD (final base salary determined by location, experience, and comparable pay).
- Eligible for equity and company benefits.
- Applications accepted at least until March 22, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.