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

Mujin; Best; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Paid time off (vacation, sick leave, holidays)

Access to cutting-edge robotics technology

International and collaborative culture

Opportunities for growth and technical advancement

Job summary

A leading automation technology company in the Netherlands seeks a Robotics Software Engineer (3D Bin-Packing & Optimization) to develop advanced algorithms for logistics automation. This role includes optimizing container utilization and integrating packing logic with real-time systems. Candidates should possess strong Python and C++ skills, with a deep understanding of algorithms and spatial data structures. A collaborative mindset is essential as you will work closely with various teams to translate real-world constraints into robust solutions.

Qualifications

• 5+ years of professional software engineering experience.
• Deep understanding of algorithms and spatial data structures.
• Strong communication skills and ability to work in cross-functional teams.

Responsibilities

• Design and implement robust algorithms for 3D bin packing and container loading.
• Work with spatial reasoning and geometric data structures.
• Integrate packing logic with real-time motion planning.

Skills

Python

C++

Problem-solving

Collaboration

Spatial data structures

Algorithms

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)

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

Required Qualifications

• 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).

Nice to Have

• 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).

About Mujin

Mujin is redefining manufacturing and logistics with advanced software that enables robots to perform complex, real-world tasks using proprietary Physical AI and digital-twin technologies.

At the core is MujinOS, a unified automation platform that connects robots, AGVs, storage systems, sensors, and other equipment into one intelligent digital environment. MujinOS powers facility-wide optimization and scalable, reliable deployment of next-generation automation.

Our goal is to set a new global standard—making it easy for any enterprise to deploy, manage, and scale advanced robotics with confidence.

Why Join Our Team

• Competitive compensation reflecting your skills and impact
• Paid time off (vacation, sick leave, holidays)
• Access to cutting-edge robotics and the full MujinOS technology stack
• International, inclusive, and collaborative culture
• Clear opportunities for growth, technical advancement, and leadership

Are you ready to be a part of the Mujin journey and shape the future of robotics in Europe?

Apply via this posting with your CV and any relevant project portfolios of GitHub repositories.

At Mujin, we believe in a thorough and transparent recruitment process to ensure the best fit for both the candidate and the company. After submitting your application through our job site, our team will carefully review your CV to evaluate your qualifications and experience. If your profile aligns with the role’s requirements, you will be invited to complete a technical assessment, which will be sent to you via a direct link.

Please note that we only accept applications through our job site and kindly ask that you refrain from submitting CVs via email. Thank you for your cooperation.