Computer Vision Engineer (Object Detection & 3D Pose Estimation)
mujininc
| Company | mujininc |
| Category | Uncategorised |
| Location | Tokyo |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 21 Apr 2023 |
| Last verified | 4 Aug 2026 |
| Source | Employer ATS (lever) |
Description
Mujin is a global leader in industrial automation, redefining supply chain efficiency through MujinOS—our intelligent operating system for robotics. At our core is Machine Intelligence (MujinMI), a unique approach that leverages real-time digital twins and advanced perception, planning, and control algorithms to achieve fully autonomous operations.
Our flagship product, MujinController, empowers users with a highly configurable, no-code interface. By integrating cutting-edge motion planning and computer vision, it enables seamless automation for complex applications such as palletizing, picking, and truck unloading.
Headquartered in Japan with a growing presence in the US, China, and Europe, we invite you to join a dynamic environment where you can shape the future of automation.
As a Computer Vision Engineer, you will be a part of the Mujin R&D team, focusing on the algorithmic design, development, and deployment of computer vision applications for high-speed recognition and the world’s first 3D vision system for factory automation and logistics solutions.
Responsibilities
・Solve cutting-edge scientific and technical challenges related to recognition and pose estimation of a very wide variety of objects in challenging scenarios
・Analyze and evaluate state-of-the-art algorithms related to detection and pose estimation, from academic and industrial research, and implement and enhance them in a production environment
・Design, develop and evaluate the performance of highly scalable and accurate real-time computer vision applications, in Python and C/C++
・Perform the detailed test, carry out performance analysis on algorithms, and use continuous integration tools to finely enhance the rapidly deployed algorithms