Summer Intern – LiDAR Localization & Mapping

The Tone:

This is a Summer Internship at PlusAI, a Physical AI company that pioneers AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, PlusAI was recognized by Fast Company as one of the World’s Most Innovative Companies. This role is crucial for ensuring PlusAI’s autonomous vehicles always know precisely where they are and what the world around them looks like, which is fundamental to safety and scalability.

• Role:
  Internship
• Type:
  Seasonal (Summer)
• Location:
  
  In-person, Santa Clara, CA
• Pay: $19–$65 hourly
• Team:
  Localization & Mapping team
• Mission:
  To design and implement an automated pipeline that processes fleet data, compares it against HD maps, and isolates permanent structural changes to drive automated map updates.
• Tech Stack: C++, ROS

• Pipeline Design:
  Contribute to the design and implementation of an automated, end-to-end Map Change Detection Pipeline.
• Algorithm Development:
  Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance vehicle autonomy.
• Map Refinement:
  Refine both online and offline map generation algorithms to improve and sustain localization precision.
• Interface Enhancement:
  Advance the functionality and user experience of the LiDAR map interface, focusing on robust management of various map versions.
• Sensor Integration:
  Skillfully merge LiDAR data with other sensory inputs like GPS, IMU, and cameras to devise integrated, real-time mapping and localization solutions.

• Background: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline, with proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.
• Experience:
  
  Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.
• Skills:
  
  Solid experience in C++ and ROS; exceptional ability to communicate complex technical details effectively across multidisciplinary teams and to non-technical team members.
• Bonus:
  Experience with Gaussian splatting/NeRF or deep learning techniques applied to localization and mapping.