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Neura Robotics

Software Test Engineer - Mipa (human)

Riederich, Baden-Wurttemberg, Germany

Location
Riederich, Baden-Wurttemberg, Germany
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
3 months ago

About the role

Your mission & challenges

Robot software & system testing

  • Test and validate the full software stack powering MiPA, from navigation and manipulation to AI-driven behaviors and human-robot interaction.
  • Verify functionality across robot software releases, ensuring stability, reliability, and performance in different environments and use cases.
  • Execute manual and automated tests for distributed, real-time robotic systems running on embedded and cloud-connected platforms.
  • Work closely with software, robotics, AI, and system engineers to identify issues, reproduce defects, and support root-cause analysis.
  • Contribute to the validation of safety-related features and help ensure compliance with product quality and reliability requirements.
  • Support field testing and real-world validation of robotic capabilities in environments such as homes, care facilities, and industrial settings.

Test automation & quality assurance

  • Design, develop, and maintain scalable automated test suites for software, system, and integration testing.
  • Define test strategies, test plans, and acceptance criteria for new features and software releases.
  • Analyze test results, identify regressions, performance bottlenecks, and unexpected system behavior.
  • Create and maintain test documentation, test reports, and traceability between requirements, test cases, and validation results.
  • Collaborate with development teams to integrate automated testing into CI/CD pipelines and continuous validation workflows.
  • Continuously improve testing processes, coverage, tools, and methodologies to increase quality and efficiency across the product lifecycle.

Cross-functional collaboration

  • Partner with software developers, robotics engineers, AI researchers, and product teams throughout the development cycle.
  • Help ensure that new features are released with high quality, reliability, and safety standards.
  • Contribute to the overall stability and performance of MiPA by providing structured feedback and validation insights.
  • Support a culture of quality by championing testing best practices and continuous improvement.

What we look forward to

  • Bachelor's or Master's degree in Computer Science, Mechatronics, Robotics, or a related field (Mechatronics/Robotics background preferred)
  • Proven experience in software testing, QA engineering, or test automation
  • Prior exposure to robotics, embedded systems, or hardware-software integrated products
  • Ability to work in a fast-paced, cross-functional environment alongside hardware, software, and AI teams
  • Solid domain knowledge of robotics systems – kinematics, autonomous navigation, sensor integration (LiDAR, ultrasonic, force/torque, vision), actuators
  • Strong understanding of software testing methodologies (unit, integration, system, regression testing)
  • Proficiency in Python and/or C++
  • Hands-on experience with test automation frameworks (e.g., pytest, BDD)
  • Familiarity with ROS/ROS2 and robotics software architecture
  • Experience with version control systems (Git) and CI/CD pipelines
  • Strong analytical, debugging, and troubleshooting skills

Nice to have skills

  • Experience testing in simulation environments (e.g., Gazebo, Isaac Sim, MuJoCo)
  • Understanding of real-time systems and hardware-in-the-loop (HIL) testing
  • Experience with safety-critical systems testing standards (e.g., ISO 13849, IEC 61508)
  • Exposure to human-robot interaction (HRI) testing, multimodal input validation (voice/gesture/touch), or AI/ML-driven behavior validation
  • Knowledge of CAN bus, EtherCAT, or other robotics communication protocols
  • Experience with cloud-based test infrastructure or fleet-level testing for robots

Source

Posted by Neura Robotics on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 00:56 UTC; the original is the reference.

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