engineering
Posted Mar 4Senior Robotics Algorithm Engineer (C++ / Optimization)
at Mujin-corp
Tokyo, JapanOn-site
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Requirements
- 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 team develops MujinOS’s fundamental algorithmic layer, blending control algorithms, real-time motion planning, and advanced packing algorithms.
- As part of the Robotics System Team, you will design, develop, and deploy advanced algorithms that power Mujin’s real-time industrial robotic systems.
- You may specialize in one while collaborating across all: Control Algorithms Real-time trajectory control, robot dynamics, multibody modeling, and precision execution.
Benefits
- By integrating cutting-edge motion planning and computer vision, it enables seamless automation for complex applications such as palletizing, picking, and truck unloading.
Additional details
- Mujin is a global leader in industrial automation, redefining supply chain efficiency through MujinOS—our intelligent operating system for robotics.
- Our flagship product, MujinController, empowers users with a highly configurable, no-code interface.
- 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.
- This layer powers downstream applications including palletizing, piece-picking, and depalletizing, allowing users to build solutions efficiently on our platform.
- We work in a fast-paced, agile environment where we collaborate closely, review ideas openly, and iterate quickly.
- Continuous learning and technical curiosity are strongly encouraged.
- Team Structure & Focus Areas Our team consists of three core algorithmic tracks.
- Motion Planning Collision checking, sampling-based planning, optimization-based planning, high-speed bin-picking motions.
- Packing Algorithms Geometric reasoning, packing optimization, item fitting strategies, and fast combinatorial search.