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Senior Software Engineer, Mapping & Localization

📅 Apr 29, 2025
📍 🇨🇺 Santa Clara - Hybrid🎸 Senior💻 Software Engineer💼 Full-Time
Modern C++MultithreadingMultiprocessingROS
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📜 Description

  • Design and optimize scalable interfaces for online lane and map representation.
  • Improve map interfaces across perception, prediction, and planning pipelines.
  • Develop large-scale map deployment systems, including offline generation, version control, and online tile-based LiDAR loading.
  • Maintain mapping watchdog and event-mining systems to monitor system health and anomalies.
  • Enhance mapping CI workflows and optimize offline 3D reconstruction pipelines.
  • Collaborate across engineering and operations teams on system dependencies, performance, and data collection and validation needs.

🛠️ Requirements

  • 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.
  • Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering.
  • Experience working on offline 3D reconstruction systems.
Full job description
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.
    • Apply Now

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