Intern, Autonomous Vehicles and Robotics

What you'll do

• Develop and train state-of-the-art Deep Neural Networks for path generation.
• Collect training datasets and real-time inference run-times using simulators and gyms.
• Perform in-vehicle tests for autonomous vehicle systems.
• Build fundamental infrastructure and software platforms for the Isaac robotics system.
• Implement computer vision, mapping, localization, and SLAM algorithms.
• Develop validation frameworks for Deep Learning models.
• Manage operating system components including threads, processes, memory, and synchronization.
• Utilize physics simulations, simulators, and computer graphics for robot development.

What we're looking for

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
• Must clearly indicate the anticipated graduation date (month and year) on the resume or CV.
• Course or internship experience in Computer Vision, Mapping, Localization, SLAM, Image Processing, or Segmentation may be required.
• Course or internship experience in Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems, or Data Structures may be required.
• Course or internship experience in Physics Simulation, Simulators, Computer Graphics, Version Control, Cloud Technologies, or Computer Vision may be required.
• Prior experience or knowledge in C, C++, C++17, CUDA, ROS, Python, OpenGL, Linux, or Sensor Input Devices may be required.
• Prior experience or knowledge in Training Frameworks such as TensorFlow, Keras, or PyTorch may be required.