Computer Vision Engineer
Posted 21 Apr 2023
Advertised as “Computer Vision Engineer (Object Detection & 3D Pose Estimation)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Visa sponsorship
- Offered
No salary listed for this role.
Field of studyComputer Science (or related)
Study levelBachelor's or higher
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
Minimum Requirements
- Graduating/ Graduated Computer science or relevant faculty in BS, MSc or Ph.D.
- BS or MS with computer vision experience or Ph.D. in Computer Vision related topics
- The ability to develop applications and tools in Python and/or C++
- Technical communication skills in English (reading and writing)
Preferable Requirements
- 3D pose estimation of textured and textureless objects in cluttered scenes, with proven experience
- Python and C++ experience
- Experience with a vast set of computer vision libraries
- Mathematical background in 3D processing and statistical analysis
- Previous contributions to open source projects
- Extras: object tracking, SLAM, computer graphics, augmented reality, machine learning, exposure to projects in robotics