Robotics Software Engineering Intern, Sim-to-Real

3 Days ago • Upto 1 Years • Research & Development

Job Summary

Job Description

NVIDIA's Robotics Software Engineering Internship focuses on Sim-to-Real robotics. Interns will collaborate on developing and refining machine learning policies for sim-to-real transfer, implementing and testing code on real humanoid robots and robotic arms, and improving whole-body control and dexterous manipulation algorithms. The work involves leveraging tools like PyTorch, CUDA, ROS/ROS2, and physics simulation. Successful candidates will possess strong programming skills (Python, C++), a background in machine learning and robotics, and ideally, experience with NVIDIA's Isaac platform. The internship offers opportunities to contribute to groundbreaking research and development in the field of physical AI within a professional software development team.
Must have:
  • MS/PhD in CS, Robotics, or related field
  • Proficiency in Python and C++
  • Knowledge of robotics learning tools (PyTorch, CUDA, ROS/ROS2)
  • Experience with machine learning, control, and robotics systems
Good to have:
  • Prior internship experience with robotic systems
  • Experience with NVIDIA robotics tools (Isaac Lab, Isaac Gym, Isaac ROS)
  • Experience with Jetson platform
Perks:
  • Competitive salary
  • Comprehensive benefits package
  • Great company culture

Job Details

NVIDIA’s robotics Isaac is a fast-progressing effort inside the company and will have a decisive impact on the future of the robotics industry, including on humanoid robots. We are looking for self-motivated, hard-working and innovative candidates to investigate approaches to large-scale mobile manipulation problems. This internship will investigate the challenges and opportunities of recent advances including synthetic data generation, sim-to-real, foundation models for mobile-manipulation, and task and motion planning. The anticipated results of the internship include deep technical insights into the capabilities of such approaches, novel implementations, and compelling applications to real robot systems.

Join NVIDIA’s Robotics Software team in Zurich, Switzerland to work on learning-based control for humanoids. You will collaborate with the Deployment team to develop groundbreaking algorithms in the area of whole-body control and dexterous manipulation and test them on the real hardware.

What you'll be doing:

  • Collaborating with the team to develop and refine machine learning policies for sim-to-real transfer.

  • Implementing and testing your code on real robotic hardware (humanoids / robotic arms).

  • Improving algorithms for whole-body control and dexterous manipulation, pushing the limits of Physical AI.

  • Opportunity to work in a professional software development team in a commercial environment.

What we need to see:

  • Currently pursuing a degree in Computer Science, Robotics, Engineering, or a related field (Ms or PhD).

  • Proficiency in Python and C++ programming languages.

  • Knowledge of common tools and libraries for robotics learning (i.e. pytorch, cuda, ROS/ROS2, physics simulation).

  • Academic classes or coursework in machine learning, control and robotics systems.

Ways to stand out from the crowd:

  • Previous internships or hands-on experience with robotic systems in a commercial or academic setting.

  • Experience with NVIDIA robotics tools (Isaac Lab, Isaac Gym, Isaac ROS) and hardware (Jetson platform).

With highly competitive salaries, a comprehensive benefits package, and a great company culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world and our engineering teams are rapidly growing. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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