Description
We are now looking for a Senior Research Scientist focused on Multimodal Foundation Models and Robotics. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation.
The successful candidate will 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, and collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
To be successful in this role, you will need a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience, and 5 years of relevant work/research experience across one or both of these fields: Multimodal Foundation Models and Robotics.
You will also need outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.), excellent skills in working with large-scale machine learning/AI systems and compute infrastructure, and strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!