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Research Scientist, Robotics Research - PhD New College Grad 2026

NVIDIA· Research Staff Member
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Seattle, WA$168k - $264.5kfull-timePosted 7mo ago

About the role

Research scientist role in NVIDIA Seattle Robotics Lab focusing on fundamental and applied robotics research across perception, planning, control, reinforcement learning, imitation learning, and simulation, with goal to transfer research into NVIDIA products and build robotics markets.

Responsibilities

  • Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications
  • Integrating these methods into real-world robotic manipulation systems, including collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands
  • Contributing to multi-person research projects across robotics and machine learning stack
  • Engaging with the academic community through high-impact publications, conferences, workshops, and code releases
  • Collaborating with product managers and engineering teams to transfer research into NVIDIA products with real-world impact
  • Mentoring interns joining NVIDIA during their PhD programs

Qualifications

  • Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience)
  • Strong research track record with publications in top robotics and AI conferences/journals (RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, EMNLP)
  • Exceptional programming skills in Python, proficiency in PyTorch or JAX, ROS or ROS2, and physics simulation frameworks (Isaac Sim/Lab or MuJoCo); familiarity with C++, CUDA, Warp a plus
  • Exceptional communication, collaboration, and interpersonal skills with team experience
  • Ability to work through simulation and real-world robotics complexities, debugging physics simulators, setting up and maintaining robotics hardware, debugging real-world communication systems, and designing robust workflows for model training and evaluation
  • Interest in bimanual/dexterous manipulation, mobile manipulation and humanoid loco-manipulation, multisensory perception, sim-to-real, VLA models, and industrial applications like bin-picking, kitting, and assembly

Skills

Required:PhD in relevant fieldResearch publication track recordPython programmingDeep learning frameworksRobotics frameworksSimulation frameworks
Nice to have:C++, CUDA

Benefits

  • Equity
  • Benefits (see NVIDIA Benefits)
Last updated Jul 31, 2026. Interested? Apply on the company site.

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