Software Test Engineer
Neura Robotics
Software Test Engineer
Neura Robotics
Cognitive robots with perception, manipulation, collaboration
Your mission & challenges
Together, we are taking the step into a new era of robots. You will ensure our robot arm software is reliable, safe, and ready for real-world deployment — validating behavior from operator workflows through application services to motion outcomes.
Robot arm & system testing
Test all functionalities of the robotic system – from graphical user to interface to motion commands, PLC communication interfaces or safety functions
Support release and regression validation across versioned robot software, including localization and multi-environment testing.
Work closely with robotics, firmware, application, and functional safety engineers to validate software components, safety-related behavior, and contribute to product stability and compliance.
Test automation & framework
Develop and implement detailed Gherkin test cases and step definitions using Cucumber, Selenium, and Java for GUI and API testing.
Build and maintain automated regression, smoke, and release test suites integrated into CI/CD pipelines (e.g. GitLab).
Extend the test framework with reusable step definitions, page objects, test data management, and reporting.
Execute automated and manual tests; analyze results to detect defects, regressions, localization issues, and performance bottlenecks.
Log, track, and communicate issues clearly; maintain traceability between requirements and test cases.
Create and maintain test documentation and user guides.
Proactively identify opportunities to improve testing practices, coverage, and execution efficiency.
What we look forward to
Bachelor’s or Master’s degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
3–5+ years of experience in test automation, system testing, validation, or verification of complex systems; robotics or industrial automation experience preferred.
Solid understanding of robot arm fundamentals — kinematics basics, joint vs Cartesian motion, reference frames, safety limits, and operator control software.
Proficiency in Java; familiarity with Python or C++ is a plus.
Hands-on experience with Maven, Selenium, Cucumber (BDD), API testing, and Git.
Experience with CI/CD, test reporting, and agile, cross-functional teams.
Fluency in English is required.
Cognitive robots with perception, manipulation, collaboration
Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.
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