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
TensorFlow @ 4
Communication @ 4
Parallel Programming @ 7
PyTorch @ 4
CUDA @ 7
- 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 recruiting a Senior Research Scientist to join the Autonomous Vehicle Research group focused on fundamental and applied research toward full vehicle autonomy. The team works on agent behavior models, end-to-end AV architectures, AI safety, closed-loop training approaches, and AV foundation models (VLMs, reasoning models). Lab members are encouraged to publish and open-source work while collaborating closely with product teams to transfer research into production systems.
Responsibilities
- Design and implement cutting-edge techniques in vehicle autonomy.
- Publish and present original research at conferences and events.
- Collaborate with research team members, internal product teams, and external researchers.
- Transfer or open-source developed technology and collaborate with product teams to integrate research into high-end, production systems.
Requirements
- Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
- 6+ years of relevant research experience in vehicle or robot autonomy.
- Strong knowledge of theory and practice of vehicle/robot autonomy, or related area with interest in applying work to autonomous vehicles.
- Track record of research excellence with publications in top conferences/journals (e.g., RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC) and related research artifacts such as software projects.
- Exceptional programming skills in Python; strong skills in C++ and parallel programming (e.g., CUDA).
- Solid understanding of common machine learning frameworks such as PyTorch and TensorFlow.
- Experience or strong interest in topics including: agent behavior modeling, end-to-end AV architectures, AI safety, closed-loop training approaches (simulation-to-closed-loop training), and AV foundation models (VLMs, reasoning models).
- Excellent collaboration, communication, and interpersonal skills; ability to work in a dynamic, research-focused team.
Compensation & Benefits
- Base salary ranges (determined by location, experience, and pay of similar employees):
- Level 4: 184,000 USD - 299,000 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and company benefits.
Additional Information
- Applications accepted at least until October 11, 2025.
- NVIDIA is an equal opportunity employer and values diversity in its workforce.
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