Robotics QA Engineer (m/f)
First seen by Alion on Oct 11, 2026.
As our Robotics QA Engineer, you will be focused on testing the existing features and features in development for our entire product line as well as assisting in research and development. You will spend most of your time on designing test cases for our robots for the simulator or tests that will be executed (sometimes by you) on real robots in our test facility in Radnička cesta, Zagreb. You will also be involved in our development process with early stages of testing and troubleshooting.
Minimalne kvalifikacije- At least one year of experience with UNIX/Linux. - Good knowledge of Shell scripting languages. - Excellent English skills, especially in writing. - Familiarity with Software QA tools (e.g., Zephyr, Xrey, TestRail). - Familiarity with GIT or other source version control tools. - A keen eye for detail and a methodical approach to problem-solving. - Creativity to test niche-but-possible scenarios. - Interest in learning more about our robotic solutions in order to correctly identify the problem in the system. - Ability to organize your time efficiently and set priorities among various tasks.
Bonus kvalifikacije- Interest in the robotics and AI field. - Experience with Jira and Gitlab. - Experience with Linux administration and BASH scripting. - Familiarity with automation electronic components (Lidar, drive systems etc.) or robotic solutions, as well as common libraries including ROS. - Basic C/C++ or Python coding skills.
Očekivanja od tebe na ovoj poziciji- Work closely with QA Team Lead and R&D Teams to identify areas to test and create relevant test strategies. - Write and maintain test cases. - Organize and execute test sessions on real robots, as well as prepare test cycles for other testers. - Maintain and report on the process through a test management tool (Zephyr for Jira). - Analyze bug reports, logs and bags; identify problems, and assign bugs to the relevant teams. - Describe bugs in detail and reproduce them. - Assist developers during development (from dataset acquisition to troubleshooting). - Proactively contribute to standardization and improvement of testing methodologies.