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Robotics Software Engineer (3D Bin-Packing & Optimization)

Are you ready to shape the future of industrial robotic systems? 

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Mujininc Source published Sep 20, 2026 Verified 7 hours ago
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EmploymentFull-Time (English)

Overview

Are you ready to shape the future of industrial robotic systems? 

Full job description

Are you ready to shape the future of industrial robotic systems?

Mujin is transforming how industrial robots perceive, plan, and execute work by bringing real-time intelligence to the factory floor through MujinOS, our hardware-agnostic, software-defined automation platform. We are seeking a talented Robotics Software Engineer (3D Bin-Packing & Optimization) to join our European engineering team and contribute to next-generation logistics automation solutions. In this role, you will develop advanced spatial and packing algorithms that feed directly into MujinOS-powered robotic systems — enabling optimal container and bin utilization, smarter loading/unloading, and efficient warehouse workflows.

Position: Robotics Software Engineer (3D Bin-Packing & Optimization)

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.

Work closely with operations, product management, and customers to translate ambiguous or variable real-world constraints into robust, production-ready technical solutions

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 a collaborative mindset; comfortable working in cross-functional teams combining software, robotics, operations, and product stakeholders.

Exposure mixed-SKU palletizing, container loading/unloading, or dynamic storage/packing systems.

Professional working proficiency in English (spoken and written).

Experience in logistics, warehouse automation, robotics, or supply chainsystems.

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).

Coding Assessment An online technical assessment including a short quiz and coding exercises focused on problem-solving, C++/Python fundamentals, and basic linear algebra.

HR Interview Conversation with the HR team regarding motivation, experience, and practical matters.

Hiring Manager Interview Technical and team-fit discussion with the hiring manager and/or team member.

Take-Home Assignment & Feedback Interview (if applicable) A practical assignment designed to reflect real-world engineering work, followed by a feedback and discussion session.

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