What are the responsibilities and job description for the Senior Software Engineer, Mapping & Localization position at PlusAI?
Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. 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 open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. 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.
As a software engineer for mapping and localization for self-driving vehicles, you will work on improving the online odometry and localization system and offline 3D reconstruction. You will also support efficient map query in runtime for other modules– like perception, prediction and planning, with the goal of improving online and offline data collection and analysis of mapping/localization systems and mapping/localization CI systems.
\n- Improve odometry accuracy and latency.
- Improve global localization smoothness.
- Deploy and improve large scale map systems including offline map management and online map loading (both in Python and C ).
- Improve online mapping/localization watchdog and event mining system.
- Improve mapping/localization CI system.
- Improve offline 3D reconstruction accuracy.
- 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.
- MS or BS Degree in Computer Science, Computer Engineering, or related fields.
- 2 years of relevant experience.
- Familiarity with Kalman filter, sensor fusion, localization and VIO algorithms.
- 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 .
- Strong written and verbal communications.
- Self-motivated, comfortable operating without direct supervision.
- Experience in developing, implementing, and testing localization algorithms, such as Lidar/Visual Odometry/SLAM, and Kalman filtering
- Experience with offline 3D reconstruction systems.
Your opportunities joining Plus
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.