Computer Vision

vor 2 Wochen

Munich, Bayern, Deutschland Tytan Vollzeit 80.000 € - 120.000 € pro Jahr


TYTAN Technologies

TYTAN is a young deep-tech defense startup that develops a cost-effective counter-drone solution to protect people and critical infrastructure. We are an international team of ambitious engineers who combine expertise in autonomous systems and UAV design.

We are looking for a new team member who is eager to make a real difference As a Computer Vision & AI Engineer, you will develop and deploy real-time perception systems on our autonomous UAVs to enhance their target detection and situational awareness in critical missions.

Your roadmap to make an impact
  • Design and implement robust computer vision pipelines for UAV-based perception tasks, from data acquisition to real-time inference.
  • Configure and calibrate imaging sensors and vision hardware, ensuring precise and reliable camera systems for field deployment.
  • Deploy and fine-tune computer vision systems on edge devices (e.g. NVIDIA Jetson) for real-time onboard processing.
  • Leverage classical computer vision techniques (e.g., multiple-view geometry, epipolar geometry, SLAM, structure-from-motion) to complement deep learning pipelines.
  • Develop, train, and optimize deep learning models for object detection, tracking, and classification across multiple sensor modalities (RGB, thermal, etc.).
  • Evaluate and integrate off-the-shelf computer vision modules where applicable.
  • Collaborate closely with hardware and autonomy teams to ensure seamless integration of perception systems with UAV platforms.
  • Collect and annotate real-world data from diverse environments, conduct performance evaluations, and drive iterative improvements.
  • Work directly with end users and mission partners to understand operational needs and ensure robust deployment in dynamic real-world scenarios.


Who you are
  • Degree in Computer Vision, Robotics, Machine Learning, Electrical Engineering, or a related field, with 2+ years of relevant experience (academic or industry).
  • Deep understanding of imaging sensors, lens systems, and camera configuration and calibration workflows.
  • Solid background in both classical computer vision and modern deep learning-based approaches.
  • Proven experience in building and deploying vision pipelines on embedded/edge devices (e.g., NVIDIA Jetson family), with a focus on performance, latency, and power constraints.
  • Familiarity with thermal imaging, multi-modal sensor fusion, and dataset generation/augmentation strategies.
  • Experience working with real computer vision hardware and sensors (stereo, IR, LiDAR, depth cameras, etc.).
  • Hands-on experience using vision-focused frameworks and libraries such as PyTorch, TensorRT, OpenCV, ROS, GStreamer and NVIDIA DeepStream.
  • Hands-on experience with C++ and Python.
  • Strong software engineering practices: clean code, version control (Git), containerization (Docker), and CI/CD knowledge is a plus.
  • Willingness to travel for testing, integration, and mission deployments.
  • Proficiency in English; German knowledge is a plus.


Why TYTAN?
  • Witness your ideas evolve into resilient products.
  • Explore a politics-free workplace where your voice matters, ensuring your energy transforms ideas into action.
  • Participate in our success with stock options.
  • Be a pioneer and make a substantial impact by joining our journey from the very beginning.
  • Embrace the excitement of a dynamic and fast-paced atmosphere.
  • Work in an international team and enjoy a modern office.
  • Access to studios and sports facilities with EGYM Wellpass.
  • Flexible working hours.


About us

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.

TYTAN is 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. All qualified applicants are encouraged to apply.


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