NEURA Robotics
Software Engineer – Navigation Engineer (human)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
72 Riederich, Germany
Work mode:
Onsite
Published on:
2 September 2026
What they need
Your mission & challenges We're looking for a Navigation Software Engineer to integrate, validate, and improve third-party and internal navigation solutions on our mobile robot platforms. You'll join our software department and work with third-party navigation, ROS 2, robot middleware, and fleet interfaces to make mobile robots navigate reliably in real customer environments.
- You integrate and debug third-party navigation solutions into mobile robot and mobile manipulator platforms.
- You develop and maintain a deep understanding of navigation software capabilities, configuration options, release updates, and known limitations; you collaborate with vendors by reporting issues, sharing feedback, and following up on bug fixes or feature improvements.
- You develop software adapters between navigation systems, hardware interfaces, and fleet interfaces based on existing navigation systems.
- You support navigation commissioning on real robots, including map creation, localization tuning, trajectory validation, and recovery behavior.
- You analyze navigation failures using Docker logs, rosbag, RViz/Foxglove, and customer feedback.
- You define standard commissioning and acceptance criteria for navigation performance, robustness, safety-related behavior, and navigation integration.
What We Can Look Forward To
- A degree in Robotics, Computer Science, Software Engineering, Mechatronics, or a related field.
- 2+ years of relevant work experience in robotics, software engineering, or a related technical field is a plus.
- Solid knowledge of navigation and localization (SLAM) techniques and ROS 2.
- Experience with C++, Python, RESTful APIs, and Docker.
- The ability to debug and isolate issues in complex software architectures, independently analyze root causes, and resolve problems with the right tools and methods.
- Understanding of VDA5050, fleet management, or multi-robot traffic concepts is a plus.
- Willingness to work with real robots, customer environments, and cross-functional teams.
- Good English communication skills.
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