Intelligent machines powered by Artificial Intelligence 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 and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and act as a brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI company”. Make your choice to join us today.We are seeking outstanding Computer Vision experts to join our NVIDIA DRIVE Mapping team with a goal to enable Autonomous Driving, Simulation and Robotics at global scale. In this role, you will work alongside leaders in the HD map industry on projects that deliver significant impact to the company, leveraging your knowledge while providing you with opportunities to expand your skill-set. The team builds advanced GT map automation algorithms, world-class DL training datasets, advanced auto-labeling platform, and the cutting edge web tooling applications.What You'll Be Doing:Design and develop our advanced auto labeling platform.Develop computer vision, visual geometry and deep learning algorithms into the core of NVIDIA DRIVE Mapping system.Architecture design for ground truth training datasets releases.Experiment with new or early stage algorithms to solidify existing algorithms working with large amounts of real data.Develop large scale and distributed data computation and editing systems.What we need to see:BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics or Robotics (or equivalent experience).5+ years of relevant experience.Proficient in C++ and Python.Experience in Computer Vision, Machine Learning, or Robotics.Good organization skills, with a logical approach to problem solving, good time management and task prioritization skills.Ways to stand out from the crowd:PhD degree in Computer Science, Computer Vision, Machine Learning, Applied Math, Robotics, or a related field.Background with auto labeling system or training data generation.Experience working on Mapping & Localization related problems.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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