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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.

What you’ll be doing:

+ Develop the next features for our platform, such as perception-in-the-loop reinforcement 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:

+ Pursuing or recently completed a BS, MS, or PhD degree in Computer Science or related field (or equivalent experience).

+ Experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).

+ Experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization.

+ 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until November 7, 2025.

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.