Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles
Listed on 2026-05-18
-
Engineering
Computer Science, AI Engineer, Robotics, Artificial Intelligence
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.
WhatYou'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.
- Take 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, Tensor
RT, Python, C++).
- PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Proven experience building robust software.
- Passionate about Artificial Intelligence for robotics and autonomous navigation.
- Strive to learn new things and enjoy solving hard problems.
- Strong mathematical knowledge.
- Experience in deep learning / machine learning with a background in computer vision and/or planning/control.
- Programming and debugging skills in C++ and/or Python.
- Good communication and analytical skills and ability to work with multiple teams in a dynamic environment.
- Background in 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 and multi‑task training.
- Experience fusing data from different sensor modalities (images and LIDAR) to enable information conflation, label propagation, cross‑training.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) 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(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).