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Paid Internship
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12Open Positions

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Robotics Research Intern

NVIDIA
Found 1 month ago
Location
Zurich, Switzerland
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • C++
  • CUDA
  • Warp
  • PyTorch
  • JAX
  • ROS2
  • Isaac Sim
  • Isaac Lab
  • MuJoCo
  • Newton

Soft Skills

  • communication
  • collaboration
  • interpersonal skills
  • team-first mindset

Job Description

Developing algorithms, models, and methods for robotic manipulation and/or loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and/or code releases.

Requirements

  • Enrolled in a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • Knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.
  • A demonstrated research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
  • Exceptional communication, collaboration, and interpersonal skills, with significant experience working on a team.
  • Exceptional programming skills in Python
  • familiarity with C++, CUDA, and Warp is a plus.
  • Fluency in modern deep learning frameworks such as PyTorch and JAX.
  • Experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, MuJoCo, and/or Newton.
  • 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; and designing robust workflows for model training and evaluation.

Related Field

  • AI & Machine Learning

Related Subfield

  • Robotics & Autonomous Systems

Languages

  • English

Nice to Haves

  • C++
  • CUDA
  • Warp
  • ROS2
  • Isaac Sim
  • Isaac Lab
  • MuJoCo
  • Newton
  • Bimanual and dexterous manipulation
  • Mobile manipulation and humanoid loco-manipulation
  • Multisensory perception (e.g., vision, tactile, and force/torque sensing)
  • Simulation, sim-to-real, and real-to-sim
  • Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
  • Industrial applications, such as bin-picking, kitting, and assembly
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