NVIDIA is seeking interns to work on its Autonomous Vehicles and Robotics teams to help tackle complex challenges in AI and digital twins, transforming industries and impacting society.
Requirements
- Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation
- Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies
- C, C++, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)
Responsibilities
- Developing and training state-of-the-art Deep Neural Networks for path generation
- Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
- Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac
Other
- Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.
- strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
