Responsibilities:
- Develop and deploy large scale map systems including offline map management and online map loading (both in Python and C++).
- Support efficient map query interface in runtime for other modules like perception, prediction and planning.
- Improve online mapping/localization watchdog and event mining system.
- Improve mapping/localization CI system.
- Work in a cross-functional environment to understand the requirements and performance of other system components such as perception, prediction, planning, control, simulation and data infrastructure.
- Work with the operations team to communicate requirements around data collection, preprocessing, labeling, testing, and analysis.
Required Skills:
- Clear understanding in classic data structures and algorithms.
- Experience in designing and implementing large real-time C++ systems and infrastructure.
- Familiar with maintaining and creating CI/CD pipelines.
- Strong proficiency in C++.
- Experience in offline large-scale map management/deployment.
- Strong written and verbal communications.
- Self-motivated, comfortable operating without direct supervision.
Preferred Skills
- Experience in online multi-tiles large scale real-time map loading.
- Experience in developing, implementing, and testing localization algorithms, such as Lidar/Visual SLAM, and Kalman filtering.
- Experience in deep learning perception systems like spatial transformer, self/cross attention, object/lane detection/tracking.
Skills Required
- Clear understanding of classic data structures and algorithms.
- Experience designing and implementing large real-time C++ systems and infrastructure.
- Strong proficiency in C++.
- Experience with Python for map systems.
- Familiarity with maintaining and creating CI/CD pipelines.
- Experience in offline large-scale map management and deployment.
- Strong written and verbal communication skills.
- Self-motivated and comfortable operating without direct supervision.
- Experience in online multi-tiles large-scale real-time map loading.
- Experience developing and testing localization algorithms (Lidar/Visual SLAM, Kalman filtering).
- Experience with deep learning perception systems (spatial transformer, attention, object/lane detection/tracking).
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








