What you’ll be doing:
Develop and evaluate novel perception approaches from synthetic simulation on robotics tasks that optimize for learning performance and generalizability.
Develop benchmarks to validate robot task performance and generalizability to novel scenarios and out-of-distribution events.
Collaborate with research and engineering teams across NVIDIA such as GR00T and IsaacLab to integrate and validate novel approaches to robot training.
What we need to see:
Pursuing a BS or MS in Computer Science or related field.
Experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).
Background with reinforcement learning, imitation learning, sensor simulation and synthetic data generation.
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 Intern
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