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About the Role

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. Test in real environments, iterate using real-world data, and collaborate closely with mission partners and engineering teams.

Responsibilities

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.

Requirements

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.
Must already have a valid work permit; visa sponsorship is not offered.

Skills

Python
ROS
C++
Sensor fusion
Kalman Filters
PyTorch
TensorFlow
OpenCV
Model deployment
TensorRT
NVIDIA Jetson
Computer vision theory
GStreamer
Camera streaming
Software engineering
Linux
Git
Docker
CI/CD

Location

Munich

Work Type

Hybrid work model

Experience Level

5+ years of experience

Education Level

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

Benefits

Virtual stock options
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
Referral bonus
Regular team events
Corporate discounts
Flexible working hours

About the Company

TYTAN Technologies aims to set a global standard in autonomous air defense with AI-driven, cost-efficient systems that counter unmanned aerial threats at scale.
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.

Equal Opportunity

WE are an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background.
Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process.