As the Quality Assurance Specialist you are responsible for the outstanding quality of the KONUX IIoT sensors for the railway infrastructure. You take pride in ensuring the products we deliver exceed our customers expectations. You develop automated test strategies and concepts in cooperation with the development team and ensure their realization. Due to your analytical skills, technical understanding and tenacity you find possible causes even for the most difficult errors and find solutions with the developers.
You are the point of contact for all questions about the quality of our IIoT sensors
You define automated test strategies in cooperation with the hardware development engineers
You create test specifications and implement test cases
You prepare, plan and execute test activities
You build and run test stands for automated hardware tests
You write test reports and document the test processes
You analyse test results, do error management and reporting
You drive root cause analysis for all test and product issues, including the development team
Degree in Electrical Engineering or equivalent
4+ years of working experience in the development of embedded systems
Experience with devices in industrial environments, the sensors are installed on the railway track and are exposed to the elements as well as the impact of the passing trains
Experience in test automation
Knowledge in programming and script languages (C, C++, Bash, Python)
Familiar in handling Linux systems
Fluent in German and English
At KONUX we are working towards our shared goal of transforming the rail industry: We want to make trains run on time and make work easier, safer and more efficient for a lot of people. Our efforts are backed by several renowned investors who believe in the great potential of KONUX.
At KONUX, we focus on results. We believe that a diverse team achieves better results faster. So here’s the deal: You bring in your very own perspective. We promise to judge your qualifications and performance, not your age, sex, religion, skin color, gender identity, family status or disability.