Algorithms Engineering Student - Autonomous Driving

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for Algorithms Engineer Intern to join our team of experts in Planning for Autonomous Driving and redefine the way we drive. In this role, you will get to be part of the design, development and productization processes for our integrated end-to-end autonomous driving platform, in a highly dynamic environment and with a cutting-edge algorithms and software stacks.

What You Will Be Doing

• Maturing and productizing autonomous vehicle features entails a diversity of activities.
• Defining and developing of algorithms to solve planning and decision making problems, integrate them into our software stack and mature them to production quality.
• Solving problems of how to combine data driven (machine learning) and classical solutions to create a robust pipeline that covers as many of the real world situations as possible
• Defining and verifying product requirements through building and enhancing existing tools and methodologies, detailed analyses, testing in simulation and on the road.
• Collaborate with a diverse group of engineers and researchers of other domains including perception, mapping and vehicle control, as well as our internal safety teams to perform safety analysis
  
  

• Advanced degree student pursuing (MSc or Phd) in Computer Science, Engineering or related technical discipline (Mechanical, Electrical, Computer Science, Math, Physics, etc.)
• Background in robotics, including a good understanding of kinematics of rigid bodies. Hands-on experience working on machine learning solutions.
• Strong software engineering skills, knowledge of both C/C++ and Python, along with a familiarity programming with GIT in Linux (Ubuntu) or another Unix based system
• Ability to think analytically and solve technical problems in a compute constrained system, ability to multitask and prioritize in a fast paced environment and excellent communication skills
  
  

• Experience working on Imitation Learning, Reinforcement Learning, Inverse Reinforcement Learning, Optimal Control, Search algorithms (A*, D*, RRT, Reinforcement Learning, MCTS, etc.) in the industry or academia.
• Prior experience in delivering a product-level planner for active safety or autonomous driving functions