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Marduk Technologies OÜ

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Camera Systems Engineer (Python)

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Summary

Designs and builds real-time optical drone-detection and tracking systems on edge hardware for national/global security in Tallinn, Estonia. You'd own Python-based features end to end: multi-camera tracking and fusion, camera/sensor tuning, image-quality analysis with OpenCV, and hardware-software debugging on the physical product.

Work tasks: We are looking for an experienced Camera Systems Engineer with a passion for innovation and a drive to contribute to national safety. You would help to build real-time optical drone-detection and tracking systems on physical edge computing hardware: Python, multi-camera tracking and fusion, async messaging, the processing hub, and the operator UI. You would own features end to end in this pipeline and work with the physical product, not just code.

We offer: - Health and sports compensation.
- Competitive compensation package. - Your work will directly contribute to global security and drone defense. - Work at our facility in the heart of Tallinn’s tech ecosystem.

Other requirements: What we are looking for:
- Bachelor's degree in Computer Science, Software Engineering or a related field. - Hands-on camera integration: visible and thermal IR, V4L2, USB3/GMSL/GV, vendor SDKs and drivers. - Sensor configuration and tuning: exposure, gain, frame rate, black level, autofocus systems. - Image quality analysis in Python/OpenCV: noise, distortion, MTF (image sharpness), SNR, cross-sensor alignment, comparison between camera models and settings. - Building test harnesses and measurement tooling; ability to quantify quality and catch regressions before the field. - Debugging flaky hardware-software interaction: frame drops, bandwidth, thermal throttling. - Performance ownership: frame rates, end-to-end latency, bandwidth budgets on edge devices. - Fluency in English and Estonian. Bonus: - Experience defining image quality acceptance criteria for a vision product. - Machine vision test rigs, optical calibration, or lens/autofocus experience. - GStreamer or similar pipelines on physical hardware.

Option to work from home: No

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