10 days ago
Santa Clara, CA, USAIntern
H1B sponsor
Responsibilities
- Develop and train deep neural networks for autonomous vehicle path generation.
- Collect training datasets and real-time inference runtimes using simulators and perform in-vehicle testing.
- Build foundational infrastructure and software platforms for robotic systems and Isaac-powered applications.
- Work on projects with measurable impact for NVIDIA’s autonomous vehicles and robotics teams.
Requirements
- Be actively enrolled in a B.S., M.S., or Ph.D. program in electrical engineering, computer engineering, or a related field for the full internship duration.
- Clearly indicate the anticipated graduation month and year on a resume or CV.
- Depending on the internship, have relevant course or internship experience in areas such as computer vision, mapping, localization, SLAM, image processing, segmentation, robotics, deep learning validation frameworks, operating systems, data structures, physics simulation, simulators, computer graphics, version control, and cloud technologies.
- Depending on the internship, have knowledge of C, C++, C++17, CUDA, ROS, Python, OpenGL, Linux, sensor input devices, TensorFlow, Keras, or PyTorch.
Benefits
- 12-week, full-time internship.
- Intern benefits are provided.
- Applications are accepted on an ongoing basis.
- Expected hourly pay is USD 20–71.
- Internship requires active university enrollment for the full duration.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.