Robotics Fleet Software Engineer: Multi-Agent Path Planning

KNAPP; Dobl-Zwaring; Hybrid; EUR 35,000 - 42,000; Full time

Benefits offered by this job

On-site restaurant

Flexible working hours

Home-office options

KNAPP Vital Program

Job summary

KNAPP seeks an algorithmic software engineer to advance multi-agent path finding and motion planning for autonomous fleet management in intralogistics. You will implement and optimize algorithms coordinating large robot fleets and integrate with conveyors, lifts, and workstations.

You will prototype, test, and evaluate approaches using simulations, benchmarks, and automated tests, contributing to a high-performance, scalable product stack.

Qualifications

• Experience or strong interest in Multi-Agent Path Finding and motion planning.
• Strong understanding of graphs, search algorithms, and data structures.
• Proven software development experience in C++ or Java in a Linux environment.

Responsibilities

• Develop and optimize algorithms for Multi-Agent Path Finding and coordinate collision-free movement of large robot fleets.
• Tackle planning problems like conflict resolution, deadlock avoidance, dynamic replanning, and route optimization.
• Translate algorithmic concepts into robust, high-performance product software.

Skills

Multi-Agent Path Finding

Motion Planning

Algorithmic Optimization

C++

Python

Tools

C++20

Python

TypeScript

Angular

Protobuf

MQTT

REST

SQL

GitLab

Docker

Linux

Job description

KNAPP seeks an algorithmic software engineer to advance multi-agent path finding and motion planning for autonomous fleet management in intralogistics. You will implement and optimize algorithms coordinating large robot fleets and integrate with conveyors, lifts, and workstations.

You will prototype, test, and evaluate approaches using simulations, benchmarks, and automated tests, contributing to a high-performance, scalable product stack.