<div>As a Software Engineer Intern in Mapping &amp; Localization at our Santa Clara HQ, you will be at the forefront of developing groundbreaking LiDAR-based algorithms essential for autonomous vehicles. Under the mentorship of Yibo Chen, you will be immersed in a high-energy, innovative environment that challenges the limits of autonomous mobility. This role offers the unique opportunity to turn advanced theoretical concepts into real-world applications, making an impactful contribution to the future of transportation.</div><br><br><h3>Responsibilities:</h3><ul><li>LiDAR Algorithm Development: Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance the autonomy of vehicles.</li><li>Map Support: Refine both online and offline map generation algorithms to improve and sustain localization precision.</li><li>Map Interface Enhancement: Advance the functionality and user experience of the LiDAR map interface, focusing on the robust management of various map versions.</li><li>Sensor Fusion Development: Skillfully merge LiDAR data with other sensory inputs (e.g., GPS, IMU, cameras) to devise integrated, real-time mapping and localization solutions.</li><li> Continue to grow within the team, taking on more complex projects and pushing the boundaries of autonomous vehicle technology.</li></ul><h3>Required Skills:</h3><ul><li>Education: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.</li><li>Technical Experience: Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.</li><li>Sensor Fusion Expertise: Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.</li><li>Software Proficiency: Solid experience in C++ and ROS.</li><li>Communication: Exceptional ability to communicate complex technical details effectively across multidisciplinary teams.</li><li>concepts to non-technical team members.</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with Gaussian splatting/NeRF is a plus.</li><li>Experience with deep learning techniques applied to localization and mapping is a plus.</li></ul><br>

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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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Software Engineer Intern - Mapping & Localization

<div>As a Software Engineer Intern in Mapping &amp; Localization at our Santa Clara HQ, you will be at the forefront of developing groundbreaking LiDAR-based algorithms essential for autonomous vehicles. Under the mentorship of Yibo Chen, you will be immersed in a high-energy, innovative environment that challenges the limits of autonomous mobility. This role offers the unique opportunity to turn advanced theoretical concepts into real-world applications, making an impactful contribution to the future of transportation.</div><br><br><h3>Responsibilities:</h3><ul><li>LiDAR Algorithm Development: Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance the autonomy of vehicles.</li><li>Map Support: Refine both online and offline map generation algorithms to improve and sustain localization precision.</li><li>Map Interface Enhancement: Advance the functionality and user experience of the LiDAR map interface, focusing on the robust management of various map versions.</li><li>Sensor Fusion Development: Skillfully merge LiDAR data with other sensory inputs (e.g., GPS, IMU, cameras) to devise integrated, real-time mapping and localization solutions.</li><li>&nbsp;Continue to grow within the team, taking on more complex projects and pushing the boundaries of autonomous vehicle technology.</li></ul><h3>Required Skills:</h3><ul><li>Education: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.</li><li>Technical Experience: Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.</li><li>Sensor Fusion Expertise: Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.</li><li>Software Proficiency: Solid experience in C++ and ROS.</li><li>Communication: Exceptional ability to communicate complex technical details effectively across multidisciplinary teams.</li><li>concepts to non-technical team members.</li></ul><h3>Preferred Skills:</h3><ul><li>Experience with Gaussian splatting/NeRF is a plus.</li><li>Experience with deep learning techniques applied to localization and mapping is a plus.</li></ul><br>

Software Engineer Intern - Mapping & Localization

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