Senior Deep Learning And Computer Vision Engineer - Autonomous Vehicles
at Nvidia
USD 184,000-356,500 per year
Tech Stack
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.
AI
Communication @ 6
Computer Vision @ 6
Debugging @ 6
Deep Learning @ 4
Experimentation
Machine Learning @ 4
PyTorch
Python @ 6
Robotics @ 6
TensorFlow
TensorRT
- 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
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.
Responsibilities
- 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.
- Defining and collecting training datasets.
- Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).
Requirements
- PhD with 4+ years or MS (or equivalent experience) with 6+ 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 like solving hard problems
- Math knowledge
- Experience in Deep Learning / Machine Learning. You have a 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.
Benefits
- NVIDIA offers highly competitive salaries and a comprehensive benefits package.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 24, 2026.
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