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- Visual SLAM Algorithm Engineer (Online Localization & Calibration)
JOB ID 28253
Visual SLAM Algorithm Engineer (Online Localization & Calibration)
- Manufacturer, Manufacturer-Automotive
- IT, Other (Localization, QA), Product Engineer (Hard/soft)
- Tokyo
- ¥15,000,000~¥25,000,000
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.
This role focuses on developing next-generation visual SLAM systems with online self-calibration capabilities. The position is responsible for solving online localization and sensor calibration during autonomous truck operation using geometric SLAM, 3D Gaussian Splatting, and vision foundation models.
Job Description
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- Responsibilities
- ・Develop tightly-coupled visual-inertial odometry fusion for real-time online localization.
・Design and implement online calibration modules for camera-IMU extrinsics, time offset, IMU bias, and scale factor estimation.
・Build globally consistent sparse/semi-dense maps using visual and LiDAR-assisted inputs.
・Integrate Gaussian-SLAM frameworks and pose graph optimization for high-fidelity mapping.
・Accelerate SLAM and depth inference pipelines using CUDA and TensorRT on NVIDIA GPUs.
・Optimize Gaussian rasterization kernels for real-time 3D Gaussian Splatting.
・Improve robustness and stability of online calibration and localization systems.
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- Requirements
- ・Master's degree or higher in Robotics, Computer Vision, Automation, or related fields.
・3+ years of hands-on experience in SLAM or VIO with real-world deployment.
・Strong expertise in at least one SLAM/VIO framework such as VINS-Mono or ORB-SLAM3.
・Proficient in CUDA C/C++ optimization for SLAM-related workloads.
・Proficient in C++ (C++17 or later) and Python.
・Experience with optimization libraries such as Ceres, g2o, or GTSAM.
・Familiarity with ROS/ROS2 and real hardware deployment environments.
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- Preferred
- ・Experience with online calibration and observability analysis.
・Familiarity with Gaussian-Splatting / Gaussian-SLAM / NeRF-based SLAM systems.
・Experience using foundation models such as MASt3R or VGGT.
・Publications in ICRA/IROS/CVPR related fields.
・Experience solving long-term calibration drift issues.
・Open-source contributions related to CUDA-accelerated SLAM or 3DGS.
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- Location
- Tokyo
-
- Work Style
- Remote working possible, Flex working possible
-
- Salary
- ¥15,000,000~¥25,000,000
-
- Attractive
Points - Japanese company with global opportunities, Weekends and holidays off, Major corporation
- Attractive
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