NVIDIA
SeniorResearchScientist,MultimodalFoundationModelsandRobotics
“Senior Research Scientist, Multimodal Foundation Models and Robotics at NVIDIA. Skills: Multimodal Foundation Models, Robotics, humanoid robot foundation models, general-purpose embodied agents. Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied. Develop large-scale AI training and inference methods for foundation”
Industry & Context.
Ability to safely operate robot hardware, lab equipment, and
What They're Looking For.
Must Have
Ph. D. in Computer Science/Engineering, Electrical Engineering, etc. , or equivalent research experience, 5 years of relevant work/research experience, Hands-on training experience and publications in at least one of the following topics: Large vision-language Video generative models and diffusion or Action-based transformers, Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc. ), Python is C++ and CUDA proficiencies are a big, Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure, Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc., programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch, Deep understanding of robot kinematics, dynamics, and, Ability to safely operate robot hardware, lab equipment, and, Knowledge of control methods, including PID, model predictive control, and whole-body, Familiarity with physics simulation frameworks such as MuJoCo and Isaac
Nice to Have
Robot hardware design and hands-on building experience
What You'll Do.
Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied
Develop large-scale AI training and inference methods for foundation
Optimize and deploy AI models in physical simulation and on robot
How You'll Work.
Team & Collaboration
Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
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