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Nvidia Senior Software Engineer Robotics - Isaac Lab 
United States, California 
789961310

15.10.2025
US, CA, Santa Clara
time type
Full time
posted on
Posted 19 Days Ago
job requisition id

What you’ll be doing:

  • Develop the next features for our platform, such asperception-in-the-loopreinforcement learning, learning from demonstration via tele-operation, and multi-agent training.

  • Automate our workflows and scale them massively in the cloud.

  • Perform extensive benchmarking and profiling to ensure best-in-class system performance and scalability.

  • 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 relevant field (or equivalent experience).

  • Extensive experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).

  • 5+ years of experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization.

  • Extensive experience with robotics simulation platforms, coupled with a deep understanding of physics-based simulation and expertise in tuning simulation parameters for accuracy and performance.

  • Strong foundation in software engineering best practices, including proficiency with Git, CI/CD workflows, docker, debugging methodologies, and comprehensive testing strategies; experience contributing to and maintaining open-source software projects.

  • Proficiency in using profiling and performance analysis tools to identify bottlenecks and optimize CPU and GPU workloads, ensuring efficient and scalable system performance.

Ways to stand out from the crowd:

  • Prior experience with Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco.

  • You have already trained a robot in simulation and deployed the policy sim-to-real.

  • Publications in major AI and robotics conferences.

You will also be eligible for equity and .