Our Vision

At Asaphus Vision, we develop software that promotes the safety, convenience, and individuality of its users.

We provide innovative driver-monitoring and interior-monitoring software based on deep-learning technology; our software is used by automotive OEMs around the world.

Product

The Asaphus Library is a driver-monitoring and interior-monitoring software that is optimized to deal with all the complex situations that can occur in a moving vehicle. It processes the video stream of a single 2D near-infrared camera.

Because the Asaphus Library is fully based on deep-learning technology, it offers unparalleled accuracy, robustness, and high availability. It is extremely light and optimized under embedded computing constraints. It meets the highest safety requirements and has proven itself in mass production by OEMs around the world. 

The output signals of the Asaphus Library power advanced driver-assistance systems, level 2 and level 3 automated driving, personalization, and automatic airbag deactivation functions.

The Asaphus Library implements the functions:

  • 3D head pose,
    Eye-opening state,
    Eye gaze,
    Face identification,
    Facial expressions and gender,
    Use of phones and driver activity detection,
    3D body pose,
    Occupancy classification.

 

Jobs

Looking for your next big adventure? Are you passionate about solving complex and interesting problems? Join our team! Asaphus offers a fast-paced work environment in which your work has an impact. Take advantage of our team of currently 25 colleagues by learning new skills and progressing in your career.

We believe in rewarding excellent work. Join Asaphus and enjoy an international, culturally diverse work environment. Our office building is a Green Building and has been awarded with the LEED Gold Certification for Sustainability.

Just e-mail us your application, including your CV and salary expectations, to jobs@asaphus.de.

01
IT System Administrator
IT System Administrator

Description:

Are you passionate about the design and management of complex cloud environments? Are you eager to work in a highly motivated team of experts in machine learning and deep neural networks? Do you enjoy the challenge of completing projects to a high standard? Then join our team! As DevOps System Administrator you are responsible for keeping our IT infrastructure up and running and for developing, maintaining and improving our CI/CD pipelines for cutting-edge driver-monitoring software that is deployed by international automotive manufacturers.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science.
  • Linux Systems Administration skills and experience.
  • Working proficiency with scripting languages: Shell, Bash, Python.
  • Experience with Jenkins.
  • Excellent communication skills in English and in German.
02
R&D Engineer Deep Learning
R&D Engineer Deep Learning

Description:

Are you eager to work in a highly motivated team of experts in machine learning and deep neural networks? Do you enjoy the challenge of completing projects to a high standard? Then join our team! As R&D Engineer, you will develop cutting-edge computer-vision software for driver-monitoring and vehicle-interior monitoring that will be deployed by international automotive manufacturers.

Qualifications:

  • At least a Master’s degree in Computer Science or Mathematics with a strong focus on Machine Learning.
  • Deep understanding of the theory behind the state of the art Machine Learning methods.
  • Excellent problem solving  and analytical skills.
  • Experience with relevant scientific software packages (Python, TensorFlow, Caffe,…)
  • Strong software engineering skills for prototypical development and implementation of experimental setups.
  • Programming skills in C++.
  • Excellent communication skills in English.

Grants and Awards

Research Tax Credit, 2019-2021
Research Tax Credit, 2019-2021
KMU Innovativ: project DeepEyeTracking, 2017 - 2019
KMU Innovativ: project DeepEyeTracking, 2017 - 2019
Winner 2015
Winner 2015
EXIST grant 2014 - 2015
EXIST grant 2014 - 2015
Winner 2014
Winner 2014

Contact

Asaphus Vision GmbH
CEO: Dr. Lenka Ivantysynova
Fon: +49 30 850 191 77
Email: contact@asaphus.de

Visiting Address:
Asaphus Vision
Bismarckstrasse 10-12
10625 Berlin | Germany