JOB ID 28254

Senior Mapping Algorithm Engineer

  • Manufacturer, Manufacturer-Automotive
  • IT, Product Engineer (Hard/soft)
  • Tokyo
  • ¥5,500,000~¥11,000,000

A Japanese deep tech startup founded in April 2024. Specializing in the development of autonomous driving systems for large trucks, it aims to solve challenges faced by Japan's logistics industry, such as driver shortages, aging populations, and increasing logistics demand. Focusing on trunk line transportation using expressways, it promotes improved transport safety, operational efficiency, and reduced logistics costs through advanced AI-powered autonomous driving technologies. Through collaboration with automakers and logistics companies, it is working on the practical use of autonomous trucks and the construction of next-generation logistics infrastructure.

A Japanese deep-tech startup established in April 2024, specializing in the development of autonomous driving systems for heavy-duty trucks. The company aims to transform Japan’s logistics industry by addressing challenges such as driver shortages, an aging workforce, and increasing freight transportation demand. Focusing on autonomous highway transportation, it develops advanced AI-powered technologies designed to improve transportation safety, operational efficiency, and logistics sustainability. Through collaboration with automotive manufacturers and logistics companies, the company is working toward the commercialization of autonomous trucking solutions and the development of next-generation automated freight transportation infrastructure in Japan.

As a core technical pillar of the team, you will lead the R&D of highly accurate, highly available, and robust unified online and offline mapping systems. Addressing key pain points in autonomous line-haul logistics and heavy-duty truck scenarios, you will build cutting-edge evolution roadmaps for LiDAR SLAM, topological representation, and Mapless/Map-lite technologies, driving the extreme engineering implementation of mapping technology for commercial vehicle mass production and large-scale deployment.

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Job Description

  • Responsibilities
    • LiDAR SLAM & Core Mapping Algorithm Leadership: Lead the R&D of high-precision SLAM algorithms and localization/mapping solutions based on multi-beam LiDAR; optimize backend factor graphs, large-scale loop closure detection, and graph optimization mechanisms.
    • Unified Mapping Pipeline Architecture Design: Design and implement versatile offline and online mapping pipelines to generate global structured maps with lane-level geometric and semantic features.
    • Map Topology Representation & Maintenance: Drive the automated construction, connectivity reasoning, and continuous incremental maintenance of complex road topology to support downstream planning and control modules.
    • Cutting-Edge Technology Evolution (Mapless / Map-Lite): Explore and deploy Mapless and Map-lite technology roadmaps, integrating online perception with prior maps to enhance vehicle-side robustness.
  • Requirements
    • Experience & Qualifications: 3 to 5+ years of R&D experience in autonomous driving mapping, SLAM, or localization; proven track record of independently leading modules or delivering complex algorithm implementations.
    • Algorithmic & Theoretical Foundation: Deep understanding of LiDAR SLAM mechanisms (e.g., LOAM series, LIO-SAM, FAST-LIO); proficient in backend optimization frameworks (e.g., factor graph optimization using GTSAM, Ceres); solid foundation in 3D geometry, multi-view geometry, and probabilistic filtering.
    • Software Engineering Skills: Proficient in modern C++ and Python with strong coding standards, memory management, and performance optimization skills; familiar with Linux development environments and autonomous driving system architectures.
    • Architectural Design Capability: Familiar with mainstream HD mapping and Mapless platform architectures; capable of independently designing, evaluating, and debugging complex algorithmic solutions.
  • Preferred
    • Domain & Scenario Experience: Experience with mass production or large-scale deployment in autonomous commercial vehicles or heavy-duty trucks is strongly preferred.
    • Advanced Perception & Mapping: Familiarity with Transformer/BEV-based online mapping models and neural network architecture optimization is preferred.
    • Advanced 3D Reconstruction: Hands-on experience with scene-level differentiable reconstruction algorithms (e.g., 3D Gaussian Splatting, NeRF) and their practical applications is preferred.
  • Location
    Tokyo
  • Work Style
    Remote working possible, Flex working possible
  • Salary
    ¥5,500,000~¥11,000,000
  • Attractive
    Points
    Japanese company with global opportunities, Weekends and holidays off, Major corporation

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