מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
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:
Work with world-class researchers at NVIDIA to develop robust AI solutions for general-purpose humanoid robots and embodied agents;
Develop large-scale AI training and inference infrastructure for foundation models;
Develop robust and scalable data pipelines;
Systematically evaluate and analyze AI models in physical simulation and on robot hardware;
Collaborate with research and engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stacks.
What we need to see:
Pursuing a Bachelors, Masters, or PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
Outstanding engineering skills for rapid prototyping and product development. Python is required; C++ and CUDA proficiencies are a plus.
Knowledge in machine learning frameworks like PyTorch, Jax, Tensorflow and/or robotics frameworks like ROS.
Experience with at least one of the following areas: large-scale AI systems or practical robotics systems.
Large-scale AI systems:
Excellent knowledge and hands-on experience in working with large-scale machine learning/AI systems and compute infrastructure;
Hands-on training experience with LLM or vision-language models;
Expertise in building foundation model training data pipelines.
Practical robotics systems
Deep understanding of robot kinematics, dynamics, and sensors;
Ability to safely operate robot hardware, lab equipment, and tools;
Experience with rapid prototyping technologies, such as CAD design and 3D fabrication;
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
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