NVIDIA
Senior Research Scientist, Multimodal Foundation Models and Robotics
$192K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted May 1, 2026
- Experience
- 5 years of relevant work/research experience across one or both of multimodal foundation models and robotics.
- Education
- Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
About the job
Develops multimodal foundation models and embodied-agent systems for humanoid robots, from research and training through simulation and deployment on robot hardware.
What you'll do
- Design and implement AI algorithms and models for humanoid robots and embodied agents; develop large-scale foundation-model training and inference methods.
- Optimize and deploy AI models in physical simulation and on robot hardware.
- Collaborate across research and engineering teams to transfer research into products and services.
What they ask for
- Ph.D. in a relevant field or equivalent research experience.
- 5 years of relevant work/research experience across one or both of multimodal foundation models and robotics.
- Hands-on training experience and publications in at least one listed foundation-model topic and/or robot learning.
- Strong programming and engineering skills, including Python; robotics experience requires Python, C++, ROS, and machine-learning frameworks such as PyTorch.
Nice to have
- C++ and CUDA proficiencies are a big plus.
- Robot hardware design and hands-on building experience.
Pay
192,000 USD - 304,750 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
PyTorch, Jax, Tensorflow, Python, C++, CUDA, ROS, MuJoCo
AI focus
Research and develop multimodal foundation models and general-purpose embodied agents for humanoid robots, including large-scale training and inference, simulation, and hardware deployment.
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