Senior Research Scientist, Multimodal Foundation Models and Robotics
$192,000 - $356,500 USD yearly
Originally posted 30 October 2026 by the employer. Relisted by the employer on 31 October 2026.
About the role
NVIDIA is searching for a Senior Research Scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. The role focuses on developing models and systems for embodied agents, contributing to initiatives such as Project GR00T.
What you'll do
- Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents.
- Develop large-scale AI training and inference methods for foundation models.
- Optimize and deploy AI models in physical simulation and on robot hardware.
- Collaborate with research and engineering teams across NVIDIA to transfer research to products and services.
What you'll need
- Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience.
- 5 years of relevant work/research experience across multimodal foundation models and/or robotics.
- For multimodal foundation models: hands-on training experience and publications in LLMs, large vision-language models, video generative models and diffusion algorithms, or action-based transformers.
- Strong engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, or Tensorflow) with Python proficiency, as well as experience with large-scale machine learning systems and compute infrastructure.
- For robotics: hands-on training experience and publications in robot learning (reinforcement learning, imitation learning, or classical control methods), along with programming skills in Python, C++, ROS, and PyTorch.
- Knowledge of robot kinematics, dynamics, sensors, control methods (PID, model predictive control, whole-body control), physics simulation frameworks (MuJoCo, Isaac Sim), and experience safely operating robot hardware.
Skills: Multimodal Foundation Models, humanoid robot, embodied agents, large-scale AI training, robot learning
More semiconductor jobs: NVIDIA jobs · AI chip design jobs · California jobs
This role has been open 182 days — well above the 92-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
478
|
Median days open
92 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (478 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 102 | 478 |
| Open roles in the wider Software, Firmware & Systems family | 1117 | 6360 · 144 employers |
| Median days open | 74 d | 92 d (−18 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Multimodal Foundation Models, humanoid robot, embodied agents, large-scale AI training, robot learning
Who's hiring in this category
- Qualcomm · 95 open roles · median 122 d
- NVIDIA (this employer) · 88 open roles · median 66 d
- AMD · 32 open roles · median 114 d
- Mobileye · 19 open roles · median 89 d
- Micron Technology · 18 open roles · median 74 d
- Analog Devices · 15 open roles · median 49 d
How we counted: 478 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 31 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.