As a Summer Intern, you will contribute to the design and implementation of an automated, end-to-end Map Change Detection Pipeline. Your mission will be to process incoming data from our active testing fleet, compare it against our base HD maps, and isolate permanent structural changes from daily clutter (like parked cars or pedestrians). This pipeline will directly drive our automated map-updating engine, keeping our fleet safe and scalable.
Responsibilities:
- LiDAR Algorithm Development: Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance the autonomy of vehicles.
- Map Support: Refine both online and offline map generation algorithms to improve and sustain localization precision.
- Map Interface Enhancement: Advance the functionality and user experience of the LiDAR map interface, focusing on the robust management of various map versions.
- 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.
- Continue to grow within the team, taking on more complex projects and pushing the boundaries of autonomous vehicle technology.
Required Skills:
- Education: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.
- Technical Experience: Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.
- Sensor Fusion Expertise: Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.
- Software Proficiency: Solid experience in C++ and ROS.
- Communication: Exceptional ability to communicate complex technical details effectively across multidisciplinary teams, concepts to non-technical team members.
Preferred Skills:
- Experience with Gaussian splatting/NeRF is a plus.
- Experience with deep learning techniques applied to localization and mapping is a plus.
Skills Required
- MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline
- Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics
- Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data
- Solid experience in C++ and ROS
- Exceptional ability to communicate complex technical details effectively across multidisciplinary teams
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai








