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Perception Engineer - Computer Vision (f/m/d)

  • On-site, Hybrid
    • Munich, Germany
    • Berlin, Germany
    +1 more
  • Engineering

Job description

TYTAN Technologies

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 new team member who is eager to make a real difference! As a Perception Engineer - Computer Vision, 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.

Job requirements

  • Degree in Computer Vision, Robotics, ML, EE, or related field with 2+ years experience.

  • 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.

  • Proficiency in English; German knowledge is a plus.

Why TYTAN?

  • 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

  • Dynamic and fast-paced team: Be among the first to shape a deep-tech defence company redefining the future of security with an international team where your impact is immediate

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.

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.

Please note that we currently do not offer visa sponsorship, so we’re only able to consider candidates who already have a valid work permit. All qualified applicants are hereby encouraged to apply.

On-site, Hybrid
  • Munich, Germany
  • Berlin, Germany
+1 more
Engineering
Full-time, Permanent

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