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Senior Computer Vision Engineer (f/m/d)

Senior Computer Vision Engineer (f/m/d)

remoteRemote | Hybrid
PublishedPublished: Published 4 months ago
Computer Vision Engineer
2 - 3 years of experience

TYTAN Technologies

The PACE is fast. The expectations are high. The contribution matters. Working at TYTAN is more than a job, this is a mission. We thrive, think big, and hold ourselves to the highest standard. Our mission and values guide everything we do, and we're looking for people who thrive on ownership, embrace challenges, and are energized by meaningful work. If you're motivated by impact and thrive in dynamic environments, you'll fit right in.

At TYTAN, we aim to set a global standard in autonomous air defense with AI-driven, cost-efficient systems that counter unmanned aerial threats at scale. We protect people. We protect critical infrastructure. We protect European sovereignty.

We are looking for a Senior Computer Vision Engineer to join our computer vision team. You will design, implement, and deploy end-to-end computer vision pipelines for UAV perception, from data collection to real-time inference on embedded platforms. This includes working with multi-modal sensors, camera hardware, calibration workflows, and integrating perception systems tightly with UAV hardware and autonomy stacks. You will test in real environments, iterate using real-world data, and collaborate closely with mission partners and engineering teams.

Your roadmap to make an impact

  • Build and optimize computer vision pipelines for real-time onboard UAV processing.

  • Configure, calibrate, and integrate imaging sensors (RGB, thermal, stereo, depth, IR).

  • Develop, train, and evaluate deep learning models for detection, tracking, and classification.

  • Deploy models on edge devices; TensorRT and NVIDIA Jetson experience is a strong plus.

  • Apply classical CV concepts to complement DL solutions.

  • Work with real-world data collection, annotation, and performance benchmarking.

  • Integrate perception modules with ROS-based systems and UAV hardware.

  • Collaborate with hardware, autonomy, and mission teams for field deployment.

Fields of study

  • Computer Science / IT
  • Artificial Intelligence (AI) and Machine Learning (ML)

Required degree level

  • Master

Years of experience

  • 2 - 3 years of experience

Required skills

  • Python
  • ROS (Robot Operating System)
  • C++