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Posted 25 days ago

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Reinforcement Learning Planning Research Intern

Santa ClaraOn-siteInternship

AI Summary

A research intern role focused on developing a Safety-Critical Trajectory Correction module using deep reinforcement learning for autonomous driving.

About this role

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Autonomous vehicles (AVs) need to navigate complex environments not just smoothly, but with absolute safety. While traditional planners handle standard driving behavior, edge-case scenarios and sudden environmental changes require an unyielding safety net.

This summer, you will own the development of a Safety-Critical Trajectory Correction (STC) module. Acting as a real-time safety overlay, the STC will function as a fallback mechanism that intercepts and minimally perturbs intended trajectories when collision risks are detected. You will design, train, and validate this architecture using Deep Reinforcement Learning to provide a continuous, constrained safety barrier for our vehicle fleet.

Responsibilities

  • Conduct groundbreaking research with the potential to strongly impact Plus’s autonomous driving products, leading to publishable results. Key focus area for this internship will be reinforcement learning to generate safe trajectories for autonomous driving.
  • Develop and benchmark cutting-edge techniques in deep learning.
  • Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.

    • Required Skills:

  • Pursuing MS or PhD in CS, EE, mathematics, statistics or related field
  • Thorough understanding of reinforcement learning
  • 1-2 years experience with implementing and training models in at least one deep learning framework (PyTorch, Tensorflow, Jax

    • Preferred Skills:

  • Past experiences in design, implementation and training of deep reinforcement learning models
  • Past experiences in projects related to autonomous driving

    • Skills

    Computer Science Or Related MathematicsDeep LearningDRLJAXModel TrainingPythonPyTorchReinforcement LearningTensorFlowTrajectory Optimization

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