Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles
Listed on 2026-06-17
-
Engineering
Computer Science, AI Engineer (Applied/Software)
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state‑of‑the‑art techniques to build ground truth for autonomous vehicles, a critical aspect of our next‑generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world.
We are seeking Deep Learning / Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self‑driving cars to achieve full autonomy.
What you’ll be doing- Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
- Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial‑strength machine learning models, taking approaches from initial evaluation and experimentation all the way to shipping.
- Define and collect training datasets.
- Build training pipelines and real‑time inference run‑times (PyTorch, Tensor Flow, TensorRT, Python, C++).
- PhD with 1+ year of relevant experience, or MS (or equivalent experience) with 5+ years in Computer Science, Computer Engineering, or a related technical field.
- Proven experience building robust software.
- Passionate about Artificial Intelligence for robotics and autonomous navigation.
- Desire to learn new things and enjoy solving hard problems.
- Strong math knowledge.
- Experience in Deep Learning / Machine Learning.
- Background in Computer vision and/or Planning/Control.
- Programming and debugging skills in C++ and/or Python.
- Good communication and analytical skills.
- Ability to work with multiple teams in a dynamic environment.
- Background applying the latest AI methods to solve Computer Vision and Autonomous Vehicles problems.
- Experience with Unsupervised or Self‑supervised Learning.
- Involvement with architecture optimization, pruning, curriculum & multi‑task training.
- Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, and cross training.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. The base salary range is 152,000
USD – 241,500
USD for Level3, and 184,000
USD – 287,500
USD for Level
4. You will also be eligible for equity and benefits.
Applications for this job will be accepted until June
12,2026.
NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. As a company that highly values diversity, NVIDIA does 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.
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