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.

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

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

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

Attractiveness

We are hiring to expand the team! If you would like to apply real-time computer vision algorithms to robotics and join the industrial automation revolution, this role is for you!

Our computer vision algorithms must be robust to run on 24/7 systems for thousands of items per customer, for diverse customers and applications. We must continue to enlarge its capabilities toward more autonomy, scalability, and diversity of applications.

The current team members have done research in the world’s top-tier universities and labs in robotics, computer vision, and image and signal processing, such as at Carnegie Mellon University and Stanford University. They have also worked in other industries like robotic inspection and automotive.

Interview Process:

HR Interview: Discussion with Human Resources.

Hiring Manager Interview (Whiteboard interview): One or two rounds with the hiring manager.

#LI-Onsite

Location

3-8-5 Tatsumi, Koto-Ku, Tokyo 135-0053, Japan

Work Hours

8:45 - 17:45 (with a 60-minute break)

Salary

Based on experience and skills
Salary revision twice a year
Additional bonuses are available based on performance

Holidays

Every Saturday and Sunday
Annual paid leaves
Maternity leave and Childcare leave
Flex Holiday (take public holidays on days of your choice)
Other holidays as defined by the company

Company Benefits

Flexible dress code policy
Commuting allowance
Japanese Social Security (Health Insurance, Pension, Labor Insurance)
Monthly team dinner support
Free buffet lunch every workday
Free vending machines (offering drinks and snacks)
High-end coffee machine
Exclusive Employee Gym Access

Japan Relocation Support

Visa sponsorship
Flight ticket support
Shipping expenses coverage up to a specified limit
Assistance for housing

Computer Vision Engineer (Object Detection & 3D Pose Estimation)

Job description