QA Engineer- Student position

We are looking for a technically oriented QA & System Validation Student to join our team and work on advanced automotive perception technologies based on Stereo Vision and Stereo Camera Calibration . This is a hands-on role combining software, hardware, computer vision, and real-world automotive systems . You’ll be involved in testing, system validation, troubleshooting, data analysis, and technical debugging, with exposure to Field Application Engineering (FAE) activities. What You’ll Do: • Execute functional, regression, and system-level tests. • Design and execute test cases based on product requirements. • Analyze logs, test results, and system behavior to identify issues. • Investigate, reproduce, and document software and system failures. • Work with real-world sensor data, video, and Computer Vision datasets. • Develop scripts and tools for test automation and data analysis. • Support system setup, troubleshooting, and FAE/POC activities.

Requirements: • B.Sc. student in Computer Science, Software Engineering, Computer Engineering, or Systems Engineering . • Available 3+ days per week . • Strong technical, analytical, and troubleshooting skills. • Hands-on experience with Linux and command line. • Good knowledge of Python . • Strong technical English, written and spoken. • Independent, curious, and quick to learn new technologies. Advantage • QA / software testing / system validation experience. • Python test automation. • Networking basics (TCP/IP, SSH, ports). • Git and CI/CD. • Embedded systems or HW/SW integration. • Computer Vision, Stereo Vision, camera calibration. • NVIDIA Jetson / CUDA / GPU environments. • Jira / Agile / Scrum. You don’t need to know Stereo Vision on day one. We’re looking for someone who is curious, hands-on, and naturally asks “Why isn’t this working?” — then investigates, reproduces, collects evidence, and finds the root cause.