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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:
A Masters Degree in Computer Science, Computer Engineering or Robotics or equivalent experience.
4+ years of relevant work experience in one or both of the following domains:
Large-scale AI systems:
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 multimodal large language models;
Deep expertise in building multimodal 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;
Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch;
Knowledge of control methods, including PID, model predictive control, and whole-body control;
Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;
Robot hardware design and hands-on building experience.
You will also be eligible for equity and .
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