Senior Deep Learning Scientist, Prediction - Autonomous Vehicles
Company: Nvidia
Location: Santa Clara
Posted on: January 20, 2023
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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
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