Robotics Algorithm Engineer (Control & Motion Planning)

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.

Our team develops MujinOS's core algorithmic layer, combining control, motion planning, and packing algorithms that power applications such as palletizing, piece-picking, and depalletizing. We work in a fast-paced, collaborative environment where ideas are openly discussed, reviewed, and refined. Continuous learning and technical curiosity are strongly encouraged.

As part of the Robotics System Team, you will design and develop algorithms for real-time industrial robotic systems.

Team Structure & Focus Areas

Our team consists of three algorithmic tracks. While you will primarily focus on one area, close collaboration across teams is common.

Control Algorithms

Real-time trajectory control, robot dynamics, multibody modeling, and precision execution.

Motion Planning

Collision checking, sampling-based planning, optimization-based planning, and high-speed bin-picking motions.

Packing Algorithms

Geometric reasoning, packing optimization, item placement strategies, and combinatorial search.

To support the growth of our Control Algorithms and Motion Planning teams, we are looking for a Robotics Algorithm Engineer (Control & Motion Planning). In this role, you will develop algorithms for robot dynamics, trajectory control, motion planning, and collision avoidance used in real-time industrial robotic systems.

Responsibilities

• Tackle scientific and technical challenges in motion planning, control, and system design for industrial robots (robot arms and other peripherals).
• Design, develop, and test algorithms for robotic manipulation tasks such as picking and material handling.
• Build highly concurrent, performance-critical software systems.
• Implement and optimize real-time communication modules with robot controllers and peripheral devices using C/C++.
• Team up with our project management and integration teams to support PoCs and ensure that our technologies work smoothly in real customer setups.

Minimum Requirements

• Academic background in Computer Science, Robotics, Electrical Engineering, or related fields
• 3+ years of academic or industry experience in robotics or software engineering
• Strong proficiency in C++ and Python
• Solid understanding of linear algebra, 3D geometry, and their applications in robotics
• Experience working in Linux environments
• High motivation to solve real-world robotics problems
• Business-level English skills or Japanese skills

Preferred Qualifications

• Experience with concurrent or hierarchical robotic software stacks (e.g., ROS, OpenRAVE, custom frameworks)
• Hands-on experience with multi-joint robot hardware
• Advanced Linux skills
• Mathematical foundations in areas such as multibody dynamics, collision checking, graph/search algorithms, or optimization

Why Mujin?

• Your work doesn’t stay in simulation—your algorithms become production-grade, real-world applications such as palletizing, picking, and depalletizing that run on factory floors globally.
• You will work on real industrial robotics problems, and your algorithms will be deployed rapidly to solve previously impossible automation challenges.
• Our team is made up of experienced robotics specialists from top global programs (e.g., NTU, CMU, Stanford). You’ll work alongside supportive teammates and mentors who share knowledge openly and help each other grow.
• We develop the core of the Mujin platform in-house, unifying planning, perception, simulation, and control so we can shape the entire system with complete autonomy.

Hiring Process

• Coding Assessment: Initial technical evaluation.
• HR Interview: Discussion with Human Resources.
• Hiring Manager Interview: One or two rounds with the hiring manager.
• Take-Home Assignment & Feedback Interview (If Applicable): A task to complete on your own, followed by a feedback session.