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Mujin is a global leader in industrial automation, developing MujinOS—an intelligent operating system for robotics that powers autonomous supply chain operations. The company combines real-time digital twins, advanced perception, motion planning, and control algorithms to enable fully autonomous operations in complex logistics applications like palletizing, picking, and truck unloading.
The Robotics System Team develops the core algorithmic layer of MujinOS across three tracks: Control Algorithms (real-time trajectory control, robot dynamics, multibody modeling), Motion Planning (collision checking, sampling-based and optimization-based planning), and Packing Algorithms (geometric reasoning, packing optimization, item placement).
In this role, you will join the Packing Algorithms team to design and develop algorithms for 3D bin packing, container/trailer loading, and space optimization in real-world robotic applications. You will work with spatial reasoning, 3D geometry, collision detection, and geometric data structures for crates, pallets, and container interiors. Your algorithms will integrate with MujinOS's real-time motion planning and digital-twin workflows to drive downstream robotic behavior.
Key responsibilities include:
- Design and implement robust algorithms for 3D bin packing, container loading, and space optimization with maximal utilization and compliance with physical/operational constraints
- Work with spatial reasoning, 3D geometry, collision detection, and geometric data structures
- Integrate packing logic with MujinOS's real-time motion planning and digital-twin workflows
- Collaborate with robotics, perception, and systems teams to align packing algorithms with robot kinematics, motion planning, and real-world constraints (weight, stacking rules, fragile items, rotation limits)
- Profile, test, and optimize algorithms for high performance and scalability in real-time or near-real-time logistics environments
- Work with operations, product management, and customers to translate real-world constraints into production-ready technical solutions
The team operates in a fast-paced, collaborative environment where ideas are openly discussed and refined. Continuous learning and technical curiosity are strongly encouraged. You will work alongside experienced robotics specialists from top global programs (NTU, CMU, Stanford) in a supportive mentorship culture.
Work hours are 8:45–17:45 with a 60-minute break. The company offers relocation support, visa sponsorship, flight ticket support, and housing assistance for international candidates.
REQUIREMENTS:
- 5+ years of professional software engineering experience
- Strong proficiency in Python and C++
- Deep understanding of algorithms, computational geometry, spatial data structures, bin/packing/space-optimization problems, or operations research
- Familiarity with optimization frameworks or ability to design custom heuristics/solvers (heuristics, meta-heuristics, constraint or combinatorial optimization)
- Excellent problem-solving skills and ability to convert ambiguous real-world constraints (logistics/trucking/warehouse rules) into concrete, maintainable software
- Strong communication skills and collaborative mindset; comfortable working in cross-functional teams combining software, robotics, operations, and product stakeholders
- Exposure to mixed-SKU palletizing, container loading/unloading, or dynamic storage/packing systems
- Professional working proficiency in English (spoken and written)
NICE TO HAVE:
- Experience in logistics, warehouse automation, robotics, or supply chain systems
- Familiarity with robotic control pipelines, motion-planning frameworks, or integration of algorithms into autonomous systems
- Experience with 3D visualization tools or frameworks (for simulation or debugging)
