Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are seeking a Software Engineer to join the Isaac Lab team and propel our flagship platform for robot learning to new heights! Our mission is to become the industry's leading tool, redefining how autonomous systems are trained and shaping the future of robotics and AI.
What you’ll be doing:
Develop the next features for our platform, such as perception-in-the-loop reinforcement learning, multi-agent/multi-task learning, and VLA & RL integration.
Collaborate with internal teams on sim-to-real efforts, including defining workflows for domain randomization, sensor and actuator modeling, latency considerations, and deployment pipelines.
Define best practices for training policies in simulation and transferring them to real robotic systems.
Collaborate with research and engineering teams all across NVIDIA, such as DEX and GEAR, to enable the next generation of humanoid robots.
Participate in code reviews, system design discussions, and contribute to internal and open-source software.
Engage with the robotics industrial and research communities.
What we need to see:
BS, MS, or PhD degree in Computer Science or related field (or equivalent experience).
5+ years of experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization.
Extensive experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).
Experience training and evaluating policies in simulation and transferring them to physical robotic systems.
Experience with GPU-accelerated kernel-style programming, such as Warp and CUDA.
Ways to stand out from the crowd:
Prior experience with Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco.
Experience training a robot in simulation and deploying the policy sim-to-real.
Publications in major AI and robotics conferences.
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.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.”
