Avride is a rapidly developing company in the autonomous vehicle and delivery robot industry. We develop autonomous vehicle technology from scratch, leveraging the strong technical background of our core team and over seven years of experience in autonomous vehicle development. The Localization team is responsible for providing precise rover location to all the components of the autonomous rover pipeline, like perception, behavior layer, and control. We calculate the position and the orientation of the rover with centimeter and fraction-of-a-degree accuracy, dozens of times per second, and in all conditions. Our most valuable asset is people, each with many years of experience in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, working together as a motivated, effective, and friendly team., We are looking for an experienced senior or staff software engineer to help us build Avride’s Localization and Mapping subsystems. You will design and implement on-board localization algorithms and cloud mapping algorithms, improve the precision and reliability of rover localization in hard-to-navigate environments, and improve and speed up cloud mapping SLAM-based processes of lidar map building. You will be able to make data-driven decisions and innovate at one of the exciting frontiers of technological advancement.

What you’ll do

• Develop the cloud mapping subsystem with graph optimization at its core.
• Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
• Support sister development and operation teams on issues related to localization.

• 3+ years of professional software engineering experience
• Strong C++ programming skills
• Solid understanding of algorithms, data structures, and software design patterns
• Solid soft skills - intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication, * Experience in robotics. Good knowledge of EKF, localization, calibration, and point cloud processing algorithms is welcome.
• Strong mathematical knowledge and skills, especially in optimization, probability theory, and mechanics. Ability to turn ideas into formulas and formulas into algorithms.
• Relevant publications or achievements in hackathons / programming contests
• Eagerness to track recent advancements in the field and implement the best ideas to keep algorithms’ performance state-of-the-art and beyond

LI-MS1

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.