המקום בו המומחים והחברות הטובות ביותר נפגשים
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. Our past projects include
What you will be doing:
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 all of NVIDIA to transfer research to products and services.
What we need to see:
Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus.
Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
Experience with at least one of the following areas: multimodal foundation model or robotics.
Multimodal Foundation Model:
Hands-on training experience and publications in at least one of the following models: LLMs, vision-language models, video generative models, diffusion models, and action-based transformers.
Robotics:
Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
Deep understanding of robot kinematics, dynamics, and sensors;
Ability to safely operate robot hardware, lab equipment, and tools;
Knowledge of control methods, such as PID, MPC, whole body control, etc;
Familiarity with physics simulation frameworks such as Mujoco and Isaac suite.
You will also be eligible for Intern
משרות נוספות שיכולות לעניין אותך