3+ years of professional software engineering experience
Strong C++ or Python programming skills
Solid understanding of algorithms, data structures, and software design patterns
Effective communication and collaboration skills
Business-focused development approach
Responsibilities
Develop the cloud mapping subsystem using graph optimization techniques
Implement the Sensor Fusion Localization subsystem for precise position and orientation calculations
Enhance localization precision in challenging environments
Speed up cloud mapping SLAM processes for lidar map generation
Support localization-related issues for development and operation teams
Benefits
Work with an experienced team in a fast-evolving tech sector
Opportunity for innovation in autonomous vehicle technology
Collaboration on cutting-edge localization and mapping algorithms
Engagement in a motivated and friendly team environment
Full Job Description
About the Role
We are looking for an experienced 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.
What You'll Need
3+ years of professional software engineering experience
Strong C++ or Python 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
Nice to Have
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
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.
