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
- 3rd/ 4th year 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.