<div>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.</div><div><br></div><div><span>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.</span></div><div><span><br>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.</span></div><br><br><h3>Responsibilities</h3><ul><li><span>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.</span></li><li><span>Develop and benchmark cutting-edge techniques in deep learning.  </span></li><li><span>Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.</span></li></ul><h3>Required Skills:</h3><ul><li><span>Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</span></li><li><span>Thorough understanding of reinforcement learning</span></li><li><span>1-2 years experience with implementing and training models in at least one deep learning framework (PyTorch, Tensorflow, Jax</span></li></ul><h3>Preferred Skills:</h3><ul><li><span>Past experiences in design, implementation and training of deep reinforcement learning models</span></li><li><span>Past experiences in projects related to autonomous driving </span></li></ul><br><div><b>Your opportunities joining PlusAI</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

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<div id="ember51" class="ember-view organization-about-module__content-consistant-cards-description"><span class="lt-line-clamp__raw-line">Plus is an AI company whose mission is to build &ldquo;driving intelligence&rdquo; to power a safer and greener world. Plus&rsquo;s autonomous driving solutions span from driver-out SuperDrive&trade;, to highly automated PlusDrive&reg;, next-gen safety technology PlusProtect&trade;, and model-based perception software PlusVision&trade;. Headquartered in Silicon Valley with operations in the U.S., Europe, and Australia, Plus is named by Fast Company as one of the World&rsquo;s Most Innovative Companies. Plus&rsquo;s large AI models are already powering vehicles in commercial use today. Partners including Bosch, dm-drogerie markt, DSV, Hyundai Motor Company, IVECO, Luminar, Nikola, Scania/MAN/Navistar of the TRATON GROUP, and Transurban are working with Plus to accelerate next-generation transportation solutions.</span></div>
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Reinforcement Learning Planning Research Intern

<div>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.</div><div><br /></div><div><span>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.</span></div><div><span><br />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.</span></div><br /><br /><h3>Responsibilities</h3><ul><li><span>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.</span></li><li><span>Develop and benchmark cutting-edge techniques in deep learning.  </span></li><li><span>Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.</span></li></ul><h3>Required Skills:</h3><ul><li><span>Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</span></li><li><span>Thorough understanding of reinforcement learning</span></li><li><span>1-2 years experience with implementing and training models in at least one deep learning framework (PyTorch, Tensorflow, Jax</span></li></ul><h3>Preferred Skills:</h3><ul><li><span>Past experiences in design, implementation and training of deep reinforcement learning models</span></li><li><span>Past experiences in projects related to autonomous driving </span></li></ul><br /><div><b>Your opportunities joining PlusAI</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Reinforcement Learning Planning Research Intern

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