Today, NVIDIA is owning the dawn of physical AI, bringing intelligence into the real world and redefining industries from manufacturing to robotics. Our accelerated computing platforms, open models, and simulation frameworks now power intelligent machines. These robots reason, act, and adapt in physical environments. They include humanoids in factories and autonomous systems everywhere. Achieving what has never been accomplished before—scaling physical AI from simulation to deployment—requires foresight, creativity, and top-tier talent from around the globe. At NVIDIA, you'll find yourself in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Join us and help build the future of robotics—right at the intersection of simulation, foundation models, and real-world deployment.
We are seeking a technical solutions engineer to join us, providing critical user support and enablement for NVIDIA's flagship open-source robot learning platform, Isaac Lab. Working closely with the engineering group at Isaac Lab, you will help accelerate adoption of this GPU-accelerated framework. It is built on Isaac Sim and increasingly coordinated with Newton physics and GR00T models. You will resolve user challenges, improve documentation, and enable researchers and developers worldwide to train advanced robot policies at scale.
What you’ll be doing:
Serve as a primary point of contact for Isaac Lab users, triaging and responding to GitHub issues, forum discussions, and partner inquiries with clear, actionable guidance based on existing documentation and examples.
Reproduce, debug, and troubleshoot common user-reported problems in simulation setups, RL training workflows, environment configuration, and sim-to-real transfer using Isaac Lab.
Contribute to and maintain user-facing resources, including updating installation guides, basic tutorials, FAQ entries, and example scripts to reduce support load and improve self-service.
Collaborate with the Isaac Lab core team to escalate complex issues, gather user feedback on pain points, and help prioritize improvements to APIs, examples, and stability.
Assist in testing new Isaac Lab releases (e.g., Newton integration branches, Isaac Lab-Arena workflows) from a user perspective and report findings.
Engage with the global robotics research and industrial community through forums, specific engineering support, and occasional contribution of small fixes or clarifications to the open-source repository.
What we need to see:
BS or MS degree in Computer Science, Robotics, Electrical Engineering, or equivalent experience.
5+ Years of experience in software development with Python and familiarity with deep learning frameworks (PyTorch preferred).
Basic understanding of robotics simulation concepts, including rigid-body dynamics, sensors, actuation, and common workflows like reinforcement learning or imitation learning.
Fluency with Linux tools and developer environments, including bash scripting, SSH, basic Docker usage (e.g., building/running containers, Docker Compose), and leading dependencies in virtual environments.
Strong familiarity with Git and modern software development workflows (branching, pull requests, code reviews, resolving merge conflicts, and participating in public repository projects on GitHub).
1+ years of hands-on experience with robotics tools, simulation environments, or open-source projects (internships, personal projects, or academic work count).
Ways to stand out from the crowd:
Prior exposure to NVIDIA Isaac ecosystem tools (Isaac Sim, Isaac Lab, Isaac Gym) or similar simulators (MuJoCo, PyBullet).
Experience supporting users, maintaining documentation, or contributing to open-source robotics/simulation projects (GitHub activity welcome).
Strong problem-solving skills demonstrated through debugging complex simulation or training pipelines.
Enthusiasm for robotics and physical AI, with interest in humanoid locomotion, dexterous manipulation, or foundation models for robotics.
With attractive compensation and a full range of benefits, 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 working with us and our product lines are growing fast in some of the hottest fields such as virtual reality, deep learning, artificial intelligence, and more. Come join us at NVIDIA!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
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.”
