Senior Computer Vision Engineer

• Build technology with real operational impact: Develop autonomous defence systems designed to protect lives and strengthen Europe’s security
• Shape scalable defence capabilities: Work on solutions built for mass deployment, cost efficiency, resilience, and reliable production at scale
• Contribute to networked air defence: Help integrate our systems into multi-layered defence architectures alongside sensors, command systems, and effectors
• Develop for real-world operations: Build capabilities together with end users and improve them continuously based on direct operational feedback
• Move fast and take ownership: Work in a focused, high-performance team where decisions are made quickly and individual contributions have immediate impact
• Define a new generation of defence technology: Join early and help shape the products, engineering standards, culture, and direction of a fast-growing deep-tech company
• Work with an international mission-driven team: Collaborate with experienced specialists united by the goal of creating sovereign and effective security capabilities for Europe, * Virtual stock options: Participate in our success through Virtual stock options (VSOPs) at the company’s current valuation
• Monthly allowances: €106/month in flexible benefits including lunch discounts and EGYM Wellpass or shopping credit
• Regular health care events: Health check-ups, skin screenings, mental health workshops, and an annual vitamin infusion on us
• Referral bonus: Earn a reward when someone you refer joins the team
• Regular team events: On- and off-site activities to connect and celebrate together
• Corporate discounts: Exclusive employee discounts across a wide range of partner brands
• Flexibility: Flexible working hours and hybrid work model, plus a modern Munich office built for focus and collaboration

• Degree in Computer Vision, Robotics, ML, EE, or related field.

• 5+ years of experience in working in Robotics, AI, Deep tech or UAV systems related filed.

• Excellent Python, ROS and C++ skills.
• Strong experience with sensor fusion (eg. Kalman Filters).
• Strong experience with PyTorch/TensorFlow or similar deep learning frameworks.
• Strong ROS and OpenCV knowledge.
• Hands-on experience with model deployment; TensorRT/Jetson is a plus.
• Strong grounding in computer vision theory.
• GStreamer and camera streaming experience is a plus.
• Strong software engineering and Linux knowledge - Git, Docker, CI/CD.
• Willingness to travel for field tests and deployments.

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., At TYTAN, it is more than just a job; it is about embracing autonomy, personal growth, and purpose. Make a lasting impact in the new era of defense! Join us to create a safer world for all.