Computer Vision & 3D Reconstruction Engineer

必須

• [Core requirements]

  • Practical C++ and/or Python implementation experience, with the ability to implement, debug, profile, or extend computer vision, image processing, or 3D reconstruction algorithms.
  • Understanding of 3D reconstruction fundamentals, including point clouds, coordinate frames, geometric consistency, and factors affecting reconstruction accuracy and completeness.
  • Ability to read, write, and discuss technical topics in English. English is the primary language used within the team.

• [At least one specialist area]

  • Structure-from-Motion (SfM): Feature detection and matching, geometric verification, relative and camera pose estimation, triangulation, and incremental or global reconstruction.
  • Multi-View Stereo (MVS) and dense reconstruction: Depth estimation, multi-view consistency, depth map fusion, and dense point cloud generation.
  • Bundle adjustment and nonlinear optimization: Reprojection error minimization, robust loss functions, and joint camera and structure optimization; knowledge of Ceres Solver, g2o, GTSAM, or equivalent frameworks.
  • Multi-view geometry: Camera models, intrinsic and extrinsic calibration, epipolar geometry, essential and fundamental matrices, coordinate transformations, and geometric constraints.

歓迎

• Satellite stereo reconstruction, sensor models such as RPCs, DSMs/DEMs, orthorectification, or large-scale terrain and urban reconstruction.
• 360-degree or fisheye camera models and calibration, or geometric estimation and reconstruction using non-pinhole cameras.
• Use or extension of COLMAP, OpenMVG, or OpenMVS; or point cloud processing, registration, meshing, and surface reconstruction.
• GPU acceleration and parallel computing; software development using Linux, Git, CMake, and automated testing.
• Japanese communication skills.

求める人物像

• You understand the mathematical and geometric principles behind algorithms and enjoy both implementation and evaluation with real data.
• You can identify issues in accuracy, robustness, and processing speed, and use evaluation results to guide improvements.
• You are interested in translating research results into software that can be used and maintained over time.
• You share technical knowledge and experimental results in English and collaborate effectively with colleagues.

使用ツール

仕事概要

• This role supports these applications by developing the technology to generate accurate 3D data from diverse imagery.

Position overview

• Develop algorithms and production software to reconstruct accurate 3D geometry from satellite, aerial, and UAV imagery.

Why this role matters now

• We are seeking an engineer to advance our satellite imagery reconstruction projects and extend our capabilities to emerging imaging platforms, including 360-degree cameras. You will apply your understanding of computer vision and geometry to develop, improve, and implement 3D reconstruction algorithms.

Key responsibilities

• Develop and improve photogrammetric reconstruction pipelines. Your responsibilities will reflect your expertise and project priorities, and may include:
• SfM and MVS: Develop and improve feature detection and matching, camera pose estimation, triangulation, depth estimation, and point cloud generation.
• Geometric estimation and optimization: Implement bundle adjustment and joint optimization of camera parameters and 3D structure using Ceres Solver or equivalent frameworks.
• Satellite reconstruction: Develop methods that account for sensor geometry, viewing direction, georeferencing, and large-scale spatial coverage.
• 360-degree imaging: Investigate camera models, calibration, and pose estimation, and develop methods for integrating omnidirectional imagery into reconstruction pipelines.
• Quality and performance: Evaluate and improve accuracy, completeness, robustness, and computational efficiency. Depending on your expertise, work on point cloud preprocessing, registration, meshing, and surface reconstruction.
• Production integration: Collaborate with research and engineering teams to integrate algorithms into scalable, maintainable 3D reconstruction and geospatial processing systems.

Career opportunities

• Apply multi-view geometry and numerical optimization to software that processes real satellite and aerial imagery.
• Contribute across algorithm development, implementation, accuracy evaluation, and performance optimization.
• Work in an English-speaking team and expand your experience across imaging platforms, from satellite imagery to 360-degree cameras.

Development environment

• C++ / Python; Linux; NVIDIA Docker; GeForce RTX / Tesla GPUs; AWS EC2 GPU instances; VS Code Dev Containers; Git / GitHub; Slack / Google Meet.