- A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
- At least 3 years of research and engineering experience after completing the PhD; 5+ years is preferred.
- Deep knowledge of both the theory and practice of robotics and AI, with particularly strong expertise in real-world robotics applications.
- Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.
- Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.
- A track record of writing clean, high-quality code in collaboration with team members, using standard methodologies in software engineering (e.g., unit tests, version control, CI/CD).
- Fluency in modern deep learning frameworks such as PyTorch and JAX, as well as training deep learning models on GPU clusters.
- Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.
- Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems (latency, bandwidth, race conditions); and designing robust workflows for model training and evaluation.
- A willingness to embrace and experiment with rapidly-developing robotics and AI technology, such as robotics foundation models, world models, and agentic AI as well as rapidly get up-to-speed on biology and chemistry fundamentals, laboratory tasks, laboratory hardware, laboratory automation standards, and safety and regulatory constraints. Direct experience in scientific and laboratory automation is a significant plus.
The following areas of expertise are of particular interest
- Bimanual manipulation
- Mobile manipulation and humanoid loco-manipulation
- Simulation, sim-to-real, and real-to-sim
- Multisensory perception (e.g., vision, force/torque, tactile)
- Task and motion planning
- Grasp and manipulation planning
- Imitation learning and reinforcement learning
- High-performance control
- Robotics foundation models
Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! Please join us and be at the forefront of developing robotics and simulation research which can impact both NVIDIA, industry and academia!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
