Drimva

NVIDIA

Research Scientist, Robotics Research - PhD New College Grad 2026

$168K–$264K

US, WA, Seattle · Full-time · Posted Jul 24, 2026

Experience
No specific number of years stated; significant experience working on teams is requested.
Education
PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).

About the job

Conduct robotics research and develop, integrate, and transfer manipulation and loco-manipulation methods into real-world robotic systems and NVIDIA products.

What you'll do

  • Develop algorithms, models, and methods for robotic manipulation and loco-manipulation.
  • Integrate research into real-world robotic systems and collaborate on multi-person research projects.
  • Publish and present research, transfer it to NVIDIA products, and mentor PhD interns.

What they ask for

  • Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
  • Strong research record, including publications in top robotics and AI conferences and journals.
  • Exceptional Python programming skills; proficiency in PyTorch or JAX, ROS or ROS2, and Isaac Sim/Lab or MuJoCo.
  • Strong communication, collaboration, and interpersonal skills, with significant experience working on teams.

Nice to have

  • Familiarity with C++, CUDA, and Warp.
  • Research experience in areas such as dexterous or mobile manipulation, multisensory perception, sim-to-real, VLA models, or industrial robotics.

Pay

168,000 USD - 264,500 USD (base salary)

Tools

Python, PyTorch, JAX, ROS, ROS2, Isaac Sim/Lab, MuJoCo, C++

AI focus

Robotics and machine learning research, including manipulation and loco-manipulation methods; areas of interest include vision-language-action models, large-scale training, and test-time reasoning. NVIDIA also states that it uses AI tools in recruiting.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 6, 2026 (UTC)