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.