Full Description

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.