Computer Vision Expert (m/f/x) Job in München

Location: München
Branch: Sicherheitstechnik
40 Hours per Week

With professional experience

Project description:
Assist in the development, implementation and testing of a new product related to a kiosk for border control. You will be part of the R&D team at one of the leading companies in identity solutions.


  • Integrating a new component (software and hardware) in an existing kiosk
  • Interface definition, development and software architecture
  • Collaborating with the product manager and actively support the concept, research, and planning and implementation of the project
  • Test and assess the product
  • Work on the development of new products in the field of computer vision


  • Thorough experience with video and image processing applications (e.g. image segmentation, histogram analysis, pattern matching)
  • Excellent understanding of machine learning and computer vision approaches (yolo, resnet, etc.)
  • Good knowledge of software development in C++
  • Experience with working with and implementing industrial sensors
  • Hands-on experience with C#/.NET
  • Experience with multithreading applications
  • Experience with distributed systems and network protocols like Protobuf, gRPC
  • Good knowledge of English (spoken and written)

also a big plus would be:

  • Experience with common ML frameworks (e.g. pytorch, keras, darknet, yolo, tensorflow)
  • Experience with Visual Studio and/or the Qt Framework
  • Knowledge of low level camera/sensor driver integration
  • Know-how in Python and related machine learning frameworks
  • Experience in setting up and maintaining a Hardware Rig for training complex neural net models (on Software side)

We offer:

Regular team events
Award as Kununu TOP Company
Corporate Benefits
Free beverages
Collegial and friendly working atmosphere
Company pension plan & capital-forming benefits
30 days vacation and flexible holiday planning

Your contact partner:


Alexander Kass

Parkring 31
85748 Garching

Please apply only online via the "Apply now" button. If you have any questions about the position, please contact us by mail.

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