We develop automated shuttle transport systems that move intelligently, safely, and efficiently through complex logistics environments. Our software coordinates entire fleets of mobile robots and ensures that transport orders are planned and executed optimally.
To strengthen our team, we are looking for someone with experience or a strong interest in Multi-Agent Path Finding, motion planning, and algorithmic optimization. Together, we are shaping the next generation of intelligent fleet management systems for intralogistics.
yourmission
- You develop and optimize algorithms for Multi-Agent Path Finding and coordinate the collision-free movement of large fleets of mobile robots.
- You work on challenging planning problems such as conflict resolution, deadlock avoidance, dynamic replanning, reservation strategies, and the optimization of routes and throughput.
- You transform algorithmic concepts and research results into robust, maintainable, and high-performance product software.
- You analyze different planning approaches and compare them using realistic scenarios, simulations,
and measurable quality criteria.
- You work at the intersection of path planning, transport planning, fleet control, and the integration of external systems such as conveyor technology, workstations, and lifts.
- As part of a small, focused team, you contribute your own ideas, develop prototypes, and actively shape the technical evolution of our fleet management system.
- Our software stack is primarily based on modern C++. In addition, we use Python for simulations, prototyping, analysis, and automated testing.
- Our technologies include C++20, Python, TypeScript, Angular, Protobuf, MQTT, REST, SQL, GitLab, Docker, and Linux.
- We rely on Test-Driven Development, Continuous Integration, automated testing, and the continuous improvement of our software and development processes.
youareknapp
- You are passionate about solving challenging algorithmic problems and want to tackle complex moti
📌 Software Engineer (Italia)
🏢 KNAPP
📍 Italia