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Research Scientist, Generalist Embodied Agent Research - PhD College Grad
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-01-14
Listing for:
NVIDIA
Full Time
position Listed on 2026-01-14
Job specializations:
-
Engineering
Robotics, AI Engineer, Artificial Intelligence
Job Description & How to Apply Below
Why consider this job opportunity
- Base salary range of $160,000 - $299,000 depending on level and experience
- Eligibility for equity and benefits
- Work with a highly collaborative and innovative research team
- Opportunity to contribute to groundbreaking projects in humanoid robotics and AI
- Join a company recognized as one of the most desirable employers in the tech industry
- Engage in work that has a significant impact on the future of autonomous technologies
- Design and implement novel AI algorithms and models for 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 to transfer research to products and services
- Conduct hands‑on training and experimentation with robot learning and AI systems
- Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience
- Outstanding engineering skills in rapid prototyping and model training frameworks (e.g., PyTorch, Jax, Tensor Flow)
- Proficiency in Python or C++, with CUDA or ROS knowledge being a plus
- Excellent knowledge and hands‑on experience in training LLMs, multimodal foundation models, or large generative models
- Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics
- Hands‑on training experience and publications in LLMs, large vision‑language models, or video generative models
- Deep understanding of robot kinematics, dynamics, and sensors
- Familiarity with physics simulation frameworks such as Mu Jo Co and Isaac Sim
- Robot hardware design and hands‑on building experience
- Knowledge of control methods, including PID, model predictive control, and whole‑body control
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