Robotics Algorithm Engineer (Packing Algorithm & Optimization)

About the role

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 Packing Algorithms team, we are looking for a Robotics Algorithm Engineer (Optimization & Packing). In this role, you will develop algorithms for geometric reasoning, item placement, and space optimization used in real-world robotic applications across logistics and warehouse automation.

Responsibilities - Design and implement robust algorithms for 3D bin packing, container/trailer loading, and space optimization — ensuring maximal utilization and compliance with physical and operational constraints.

- Work with spatial reasoning, 3D geometry, collision detection, and geometric data structures (e.g., for crates, pallets, container interiors).

- Integrate packing logic with MujinOS’s real-time motion planning and digital-twin workflows to feed downstream robotic behavior.

- Collaborate with robotics, perception, and systems teams to ensure that packing algorithms align with robot kinematics, motion planning, and real-world operational constraints (weight, stacking rules, fragile items, rotation limits, etc.).

- Profile, test, and optimize algorithms for high performance and scalability — able to run in real time or near-real time in high-throughput logistics environments.