Software Test Engineer - Mipa (human)
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COMPANYNeura Robotics Gmbh
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.
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