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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.
Bachelors or Masters in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience
Significant work experience in one or both of the following domains:
Outstanding engineering skills for rapid prototyping and product development. Python is required; C++ and CUDA proficiencies are a plus;
Excellent knowledge and hands-on experience in working with large-scale machine learning/AI systems and compute infrastructure;
Hands on training experience with LLMs or vision-language models;
Expertise in building LLM and multimodal data pipelines.
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;
Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch;
Knowledge of control methods, such as PID, MPC, and whole body control;
Familiarity with simulation frameworks such as MuJoCo and Isaac Sim.
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