Software Engineering Intern, Omniverse Replicator - Summer 2026
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Software Development @ 3 Python @ 3 CUDA @ 3 GPU @ 3Details
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.
We are seeking a Software Engineering Intern to join the Omniverse Replicator team to assist in developing highly optimized domain randomization tools and techniques aimed at accelerating synthetic data generation and reinforcement learning to train the next generation of robotics models. Our team's mission is to accelerate the development of autonomous systems and shape the future of robotics and AI.
Responsibilities
- Develop and optimize domain randomization tools for both offline synthetic data generation and online reinforcement learning training.
- Optimize workflows and pipelines to maximize throughput and dataset quality.
- Collaborate with research and engineering teams across NVIDIA such as GR00T and IsaacLab to help accelerate cutting edge research.
Requirements
- Currently pursuing a BS or MS in Computer Science or an equivalent subject.
- Experience in software development with C++ and Python.
- Background with reinforcement learning, imitation learning, sensor simulation, or synthetic data generation.
Ways to stand out
- Experience writing accelerated computing code in CUDA or Warp.
- Experience creating and optimizing synthetic data generation pipelines.
- 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.
Compensation and additional information
- Internship hourly rate range: 20 CAD - 63 CAD (standard pay based on position, location, year in school, degree, and experience).
- You will be eligible for intern benefits: https://www.nvidia.com/en-us/benefits/interns/
- Applications for this job will be accepted at least until December 7, 2025.
About you
Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA. NVIDIA values creative, autonomous engineers who want to make a lasting impact on the world.