Join NVIDIA's world-class team as a Robotics Software Engineer - Sim-to-Real in Zurich, Switzerland, and be part of the ambitious journey to redefine the future of robotics! You will work on groundbreaking projects that transform advancements in simulation into real-world applications, making a significant impact on both our technology and the world.
What you'll be doing:Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies.
Work together with various groups to seamlessly incorporate NVIDIA robotics products like Jetson Thor, Isaac Sim/Lab, Isaac ROS into all-encompassing solutions for humanoid robots.
Work on making things function seamlessly on real robots in our Zurich lab, focusing on training and deploying whole-body controllers, manipulation policies (VLA/WAM) and embedded agents (CaP).
5 years of experience in Computer Science, Robotics, Engineering, or a related field, with proven experience in the industry.
Proficiency in C++ and Python programming languages and experience applying them to real-time robotics systems.
Hands-on experience with both simulated and physical robots.
In-depth knowledge of tools and libraries for robotics and learning, including PyTorch, ROS2, and physics simulators like Isaac Sim or Newton.
Experience with learning-based robotics such as sim-to-real RL training, VLA fine-tuning, or embedded/code-as-policy agents.
Proven experience using NVIDIA robotics tools (Isaac Sim/Lab, Isaac ROS, Isaac GR00T) and hardware (Jetson platform).
Practical experience handling humanoid robots in a commercial or academic setting.
Extensive hands-on experience with robotic systems that demonstrate your ability to effectively apply complex solutions.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Skills Required
- 5 years of experience in Computer Science, Robotics, Engineering, or related field with industry experience
- Proficiency in C++ and Python and applying them to real-time robotics systems
- Hands-on experience with both simulated and physical robots
- Knowledge of PyTorch, ROS2, and physics simulators such as Isaac Sim or Newton
- Experience with learning-based robotics (sim-to-real RL training, VLA fine-tuning, or embedded/code-as-policy agents)
- Experience with NVIDIA robotics tools (Isaac Sim/Lab, Isaac ROS, Isaac GR00T) and Jetson hardware
- Practical experience handling humanoid robots in commercial or academic settings
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
