PhD Robotics Research Intern — Manipulation & AI Agents

NVIDIA

Seattle (WA)

On-site

USD 52,000 - 129,000

Part time

14 days+
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge robotics and AI research. You will develop algorithms and foundation models for robotic manipulation, integrate them into real-world robotic systems, and collaborate across teams to push the boundaries of robotics and simulation products.

The role emphasizes strong research output, exemplary programming skills in Python, and familiarity with C++, CUDA, and DL frameworks like PyTorch or JAX.

Qualifications

  • Enrolled in a PhD program in Robotics, ML, CS, EE, ME, or related field
  • Strong research track record with first‑author work in top conferences/journals
  • Exceptional programming skills in Python; familiarity with C++, CUDA, Warp is a plus
  • Fluency in modern DL frameworks (PyTorch or JAX)
  • Experience with robotics frameworks such as ROS2 and physics simulators like Isaac Sim/MuJoCo

Responsibilities

  • Develop algorithms, foundation models, and methods for robotic manipulation and loco-manipulation
  • Integrate methods into real‑world robotic manipulation systems with various hardware
  • Collaborate on multi‑person research projects across robotics and ML stack
  • Engage with academia through high‑impact publications and code releases
  • Develop AI agents to accelerate research and ensure correctness and reproducibility

Skills

Python
C++
CUDA
PyTorch
JAX
ROS2
MuJoCo
Git
Deep learning

Education

PhD student in Robotics

Tools

Isaac Sim
Isaac Lab
Newton
MuJoCo

Job description

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge robotics and AI research. You will develop algorithms and foundation models for robotic manipulation, integrate them into real-world robotic systems, and collaborate across teams to push the boundaries of robotics and simulation products.

The role emphasizes strong research output, exemplary programming skills in Python, and familiarity with C++, CUDA, and DL frameworks like PyTorch or JAX.

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