Nvidia Research Engineer Generalist Embodied Agent - New College Grad 

United States, Texas 

738423810

• 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:

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 LLMs or vision-language models;

• Expertise in building LLM and 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, such as PID, MPC, and whole body control;

• Familiarity with simulation frameworks such as MuJoCo and Isaac Sim.