Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles
at Nvidia
USD 152,000-287,500 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 @ 4
Machine Learning @ 4
TensorFlow @ 4
Communication @ 4
Mathematics @ 4
Debugging @ 4
Experimentation @ 4
PyTorch @ 4
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
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 next-generation products. You will work with researchers and engineers to deliver impact to customers worldwide.
Responsibilities
- Stay up to date with the latest research and innovations in deep learning; implement and experiment with new ideas.
- Foster collaborative partnerships with researchers and engineers, transforming research into robust, production-ready machine learning models.
- Take approaches from initial evaluation and experimentation through shipping to production.
- Define and collect training datasets; build training datasets and pipelines.
- Build training pipelines and real-time inference runtimes (PyTorch, TensorFlow, TensorRT, Python, C++).
Requirements
- PhD with 1+ year, or MS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or related technical field.
- Proven experience building robust software.
- Passion for AI for robotics and autonomous navigation.
- Strong desire to learn and solve hard problems.
- Solid mathematics knowledge.
- Experience in Deep Learning / Machine Learning and 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.
Ways to stand out
- Background applying latest AI methods to 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) to enable information conflation, label propagation, cross training.
Compensation & Benefits
- Base salary ranges:
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- Eligible for equity and benefits (link referenced in original posting).
Additional information
- Applications accepted at least until March 21, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.