Simulation (Isaac Sim) Intern

About the Role

We are looking for a hands-on Simulation Intern to help build, configure, and test NVIDIA Isaac Sim environments for robot programs. This internship is suited for a student or early-career engineer curious about simulation, comfortable in Python and Linux, and interested in using simulated scenes, sensors, and synthetic data for real robot development and validation.

Key Responsibilities

• Building and editing USD scenes, robot assets, and environments in NVIDIA Isaac Sim.
• Importing and configuring robots from URDF or MJCF, including joints, physics, and collisions.
• Setting up simulated sensors such as RGB and depth cameras, LiDARs, and IMUs.
• Connecting simulations to robot software through the Isaac Sim ROS 2 bridge.
• Generating synthetic datasets with Replicator, including labels and annotations.
• Domain randomization of lighting, textures, object poses, and camera parameters.
• Supporting robot learning experiments in Isaac Lab.
• Testing scenes, comparing simulated behaviour against real robots, and documenting results.
• Transforming test requirements into working scenes, verifying expected behavior, and reporting gaps between simulation and real robots.

Requirements & Tech Stack

• Working knowledge of Python.
• Comfort with Linux, the terminal, and Git.
• Genuine curiosity about robot simulation, physics, and 3D scenes.
• Basic understanding of coordinate frames, transforms, and robot joints.
• Willingness to read documentation and sample code to learn new tools independently.
• At least one project in simulation, robotics, graphics, or 3D that you can explain in detail.
• Clear written communication when reporting progress and issues.

Good to Have

• Simulation platforms: NVIDIA Isaac Sim, Isaac Lab, Gazebo, MuJoCo.
• Scene and asset tools: OpenUSD, Omniverse, Blender, URDF / MJCF.
• Synthetic data: Omniverse Replicator, domain randomization, COCO / KITTI-style labels.
• Robot software: ROS 2, RViz, MoveIt 2.
• Experience with reinforcement learning, sim-to-real transfer, GPU workstations, or computer vision datasets is an added advantage.

Qualifications

• Ability to take a simulation task from a short description to a working, tested scene.
• Capability to clearly explain how closely the simulation matches the real robot.
• Enthusiasm for building virtual worlds useful to real robots and ensuring simulation accuracy.
• This is an internship position.