Senior Deep Learning Scientist, Prediction - Autonomous Vehicles

Company: Nvidia
Location: Santa Clara
Posted on: January 20, 2023

Job Description:

We are looking for a Senior Deep Learning Scientist for our Autonomous Vehicles team to provide leadership in our Traffic and Behavior Prediction workstream.Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a 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 acts as the 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 training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving as well as mapping. We are seeking Deep Learning/Machine Learning scientists & engineers who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!What you'll be doing:Leading creation of state-of-the-art Deep Neural Networks for Multi-agent Prediction for planning & control tasksDefining research and development processUsing Imitation and Reinforcement Learning techniquesTaking DNNs and algorithms from initial evaluation and experimentation all the way to shippingProviding coaching/mentoring and technical expertise to other team membersDefining collection of training datasetsWorking with a variety of sensor modalities: cameras, LIDAR, radar perception stacksBuilding training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).Using simulators/gyms for training and testingPerforming in-vehicle tests, collecting data and completing autonomous drive missions.Publishing papersWhat we need to see:MS or PhD in Computer Science, Applied Math, Robotics, or equivalent experience5+ years related industry experienceStrong track record working on Deep Learning / Machine Learning for Planning and Control and/or for Computer Vision systems for robotics and autonomous navigationPassionate to advance Artificial Intelligence for robotics and autonomous navigationStrive to learn new things and like solving hard problemsStrong math knowledgeStrong programming skills in C++ and/or Python.Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.Experience in Deep Learning / Machine Learning.Background in Planning/Optimal Control and/or Computer Vision.Ways to stand out from the crowd:Background with Imitation Learning and/or Reinforcement LearningSolving DAGGER problemExperience with DNNs applied to prediction and planning for robotic systemsSolid experience with Self-supervised LearningBackground with architecture optimization, pruning, curriculum & multi-task trainingExperience with GPGPU programming (CUDA or OpenCL).Leadership experienceWe believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.The base salary range is $141,000 - $325,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.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.#deeplearningSummaryLocation: US, WA, Redmond; US, CA, Santa ClaraType: Full time

Keywords: Nvidia, Santa Clara , Senior Deep Learning Scientist, Prediction - Autonomous Vehicles, Other , Santa Clara, California