Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night. An AI-powered robot can learn motor skills through trial and error. At NVIDIA, simulation is at the core of everything we do. NVIDIA GPUs and NVIDIA expertise are paving the way for simulation technology to shape the future. By joining our team, you will directly contribute to an exciting field that is sure to change our way of life.
We are now looking for a Software Intern for our Omniverse team!
What you will be doing:
- Work closely with simulation engineers, robotics researchers, and artists to define and deliver a simulation environment that accelerates robotics development.
- Support and collaborate with peers and leads on various projects related to Physical AI
- Work on the Omniverse platform, including developer tooling, automation, cloud deployment, various runtimes, and content pipelines.
- Learn, test, and contribute to the developer SDKs and cloud APIs.
You will help build production-quality software that:
- Simulates, trains, and tests a range of robots and scales, from the edge to the cloud.
- Simulates various physical sensors (camera, lidar, IMU), vehicles, and rigid/soft-body dynamics.
- Generates synthetic data (segmentation, bounding boxes, etc.) for perception, navigation, and manipulation training at scale.
- Ensures transfer learning from simulation to physical robots.
- Provides a simulation environment for developing intelligent machines that work closely with people in a safe, collaborative manner.
What we need to see:
- Pursuing a PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or a related field.
- Strong software development skills (C++, Python).
- Experience working in large-scale code bases/ projects
- A solid sense of software architecture
- Experience building, supporting, or contributing to large-scale production software, particularly in 3D graphics, simulation, and distributed or cloud systems.
- Experience working with NVIDIA Omniverse, Isaac Sim, or USD
- Hands-on experience with cloud infrastructure, especially Docker, Kubernetes, Rust, gRPC, REST API, and CI/CD systems
- Experience implementing or using physics simulation systems (e.g., rigid body, deformable systems, etc.) in the context of robotics training or digital twin.
Ways to stand out from the crowd:
- Flexible and eager to learn new technologies, with strong teamwork and communication skills.
- Show your related work in your GitHub repository.
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!
