Software Engineer - Multi-Agent Path Finding & Robotics

KNAPP AG; Dobl-Zwaring; Presencial; EUR 35.000 - 42.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

On-site company restaurant

Home-office options

KNAPP Vital Program (health & wellness

Descripción de la vacante

KNAPP AG is building automated shuttle transport systems for intelligent fleet management in intralogistics. You will develop and optimize Multi-Agent Path Finding algorithms and coordinate collision-free movements of large robot fleets.

You will work on conflict resolution, dynamic replanning, and throughput optimization, transforming research into robust, high-performance software using C++/Python in a modern stack with TypeScript/Angular, Protobuf, MQTT, REST and SQL.

Formación

• Experience or strong interest in Multi-Agent Path Finding, motion planning and algorithmic optimization.
• Ability to transform research results into robust, maintainable product software.
• Willingness to work on planning problems, conflict resolution and throughput optimization.

Responsabilidades

• Develop and optimize algorithms for Multi-Agent Path Finding for large robot fleets.
• Work on conflict resolution, deadlock avoidance, dynamic replanning and routing optimization.
• Translate concepts into high-performance, maintainable software.
• Analyze planning approaches using simulations and realistic scenarios.
• Collaborate at the intersection of path planning, fleet control, and external system integration.

Conocimientos

Multi-Agent Path Finding

Path planning

Graph algorithms

Operations research

Combinatorial optimization

Software design

Herramientas

C++20

Python

TypeScript

Angular

Protobuf

MQTT

REST

SQL

GitLab

Docker

Linux

Descripción del empleo

KNAPP AG is building automated shuttle transport systems for intelligent fleet management in intralogistics. You will develop and optimize Multi-Agent Path Finding algorithms and coordinate collision-free movements of large robot fleets.

You will work on conflict resolution, dynamic replanning, and throughput optimization, transforming research into robust, high-performance software using C++/Python in a modern stack with TypeScript/Angular, Protobuf, MQTT, REST and SQL.