Senior Software Engineer, Mapping & Localization

PlusAI

  • Santa Clara, CA
  • 30+ days ago
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    Skills

    • Algorithmsunmatched
    • C++ Programming Languageunmatched
    • Communication Skillsunmatched
    • Computer Engineeringunmatched
    • Computer Scienceunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Improvementunmatched
    • Continuous Integrationunmatched
    • Cross-Functionalunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Structuresunmatched
    • Distributed Computingunmatched
    • Kalman Filterunmatched
    • Large-Scale Systemsunmatched
    • Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR)unmatched
    • Localizationunmatched
    • Maintain Complianceunmatched
    • Multithreaded Programmingunmatched
    • Operating Systemsunmatched
    • Performance Tuning/Optimizationunmatched
    • Presentation/Verbal Skillsunmatched
    • Process Improvementunmatched
    • Quality Managementunmatched
    • Quality Monitoringunmatched
    • Requirements Managementunmatched
    • Simulationunmatched
    • Software Designunmatched
    • Software Engineeringunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Web Infrastructureunmatched
    • Writing Skillsunmatched

    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.
    Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

    Numbers & Facts

    LocationSanta Clara, CA

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