Software Engineer - Fleet Management & Platform Integration (human)

Neura Robotics GmbH
Metzingen, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Metzingen, Germany

Tech stack

API
C++
Communications Protocols
Continuous Integration
Distributed Systems
Python
Message Queuing Telemetry Transport (MQTT)
Cloud Services
OPC Unified Architecture
Software Engineering
Systems Integration
WebSocket
Data Logging
Mobile Robots
Delivery Pipeline
Information Technology
Build Tools
Front End Software Development
gRPC
Docker

Job description

We're looking for a Software Engineer to connect our robots with fleet management systems and our internal software platform. You'll work in Mobile Robotics and build the integration layer between robot software, cloud services, fleet orchestration, and customer FMS environments.

  • You integrate mobile robots and mobile manipulators with internal software platform services.
  • You develop and maintain interfaces between robot software and fleet management systems.
  • You implement and validate VDA5050, MQTT, REST/gRPC, WebSocket, and related fleet communication protocols.
  • You support fleet localization, geofencing, map distribution, robot status reporting, multi-robot task allocation, and telemetry pipelines.
  • You build tools for fleet monitoring, mission execution, traffic management, and robot diagnostics.
  • You ensure stable connectivity, secure access, OTA/update workflows, and version compatibility between robot and platform.
  • You work with navigation, application, cloud, and customer project teams to deliver end-to-end fleet functionality.

Requirements

  • A degree in Computer Science, Robotics, Software Engineering, Mechatronics, or a related field.
  • 3+ years of relevant work experience in robotics, software engineering, or a related technical field is a plus.
  • Strong experience in software system integration for robotics or fleet management.
  • Good knowledge of distributed systems and APIs.
  • Experience with VDA5050, MQTT, REST/gRPC, WebSocket, OPC UA, or similar protocols.
  • Practical experience with C++, Python, and frontend or backend technologies.
  • Familiarity with Docker, CI/CD, observability, logging, and deployment workflows.
  • Understanding of AMR/AGV navigation, robot states, missions, and fleet operation.
  • Experience with Synaos, NAiSE, Open-RMF, MiR, OTTO, SEER, Bosch, or comparable FMS platforms is a plus.
  • Good English communication skills.

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