Plus
Overview
We are seeking a highly skilled and motivated Senior Software Engineer to join our Mapping & Localization team. In this role, you will be responsible for enhancing both the online and offline components of our mapping infrastructure, including online map interface, map version control, tile-based LiDAR map generation, and large-scale map management. You will play a critical role in supporting runtime map queries for key modules such as perception, localization, prediction, and planning.
Responsibilities
Design and optimize scalable interfaces for online lane and map representation.
Improve cross-module map interfaces to support perception, prediction, and planning pipelines.
Develop and enhance systems for large-scale map deployment, including offline map generation, version control, and online tile-based LiDAR map loading.
Maintain and evolve the mapping watchdog and event mining systems to monitor system health and anomalies.
Enhance the mapping CI system to support robust development and deployment workflows.
Optimize performance of offline 3D reconstruction pipelines.
Collaborate closely with cross-functional teams to understand system-wide dependencies and performance needs across perception, planning, control, simulation, and infrastructure.
Work with the operations team to define requirements for data collection, preprocessing, labeling, and validation.
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills
BS or MS in Computer Science, Computer Engineering, or a related technical field.
3+ years of experience in developing large-scale, real-time C++ systems.
Strong proficiency in modern C++ and understanding of multi-threading, multiprocessing, and operating systems, e.g. ROS.
Solid foundation in data structures, algorithms, and software design principles.
Familiarity with large-scale map data pipelines and distributed systems.
Familiarity with CI/CD systems, and maintaining production-grade infrastructure.
Excellent written and verbal communication skills.
Self-motivated, comfortable operating without direct supervision.
Preferred Skills
Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering.
Experience working on offline 3D reconstruction systems.
$150,000 - $200,000 a year. Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
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Responsibilities
Design and optimize scalable interfaces for online lane and map representation.
Improve cross-module map interfaces to support perception, prediction, and planning pipelines.
Develop and enhance systems for large-scale map deployment, including offline map generation, version control, and online tile-based LiDAR map loading.
Maintain and evolve the mapping watchdog and event mining systems to monitor system health and anomalies.
Enhance the mapping CI system to support robust development and deployment workflows.
Optimize performance of offline 3D reconstruction pipelines.
Collaborate closely with cross-functional teams to understand system-wide dependencies and performance needs across perception, planning, control, simulation, and infrastructure.
Work with the operations team to define requirements for data collection, preprocessing, labeling, and validation.
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills
BS or MS in Computer Science, Computer Engineering, or a related technical field.
3+ years of experience in developing large-scale, real-time C++ systems.
Strong proficiency in modern C++ and understanding of multi-threading, multiprocessing, and operating systems, e.g. ROS.
Solid foundation in data structures, algorithms, and software design principles.
Familiarity with large-scale map data pipelines and distributed systems.
Familiarity with CI/CD systems, and maintaining production-grade infrastructure.
Excellent written and verbal communication skills.
Self-motivated, comfortable operating without direct supervision.
Preferred Skills
Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering.
Experience working on offline 3D reconstruction systems.
$150,000 - $200,000 a year. Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
#J-18808-Ljbffr