Deep Learning Specialist - Embedded Systems (m/f/x) Job in München

Location: München
Branch: Automotive
40 Hours per Week

With professional experience

Project description:
As a Deep Learning Specialist, you will be part of a team brought together by an enthusiasm for developing embedded software. You will help to understand AI systems down to their smallest building blocks and thus find new solutions for challenges in the areas of mobility, connectivity and autonomy of vehicles.


  • You are responsible for modelling various aspects of autonomous driving, especially in the field of deep learning and computer vision
  • You implement, optimize and port to embedded platforms
  • You are responsible for the development of new network topologies


  • Good know-how in machine learning with emphasis on deep learning
  • Good knowledge of Computer Vision
  • Good knowledge of software development in C/C++ and Python
  • Know-how in Caffe, TensorFlow or Torch
  • Experience in GPU programming with CUDA, OpenCL or other GPU computer languages
  • Experience with one of the following APIs: OpenVX, OpenCV, Vulkan or OpenGL (ES)
  • Advanced knowledge of Linux
  • Experience in sensor fusion
  • Good English language skills

other desired qualifications:

  • Experience with NVIDIA DRIVE API and DRIVE PX2 SDK
  • First experience in the development of embedded hardware with focus on vehicles and robots
  • Know-how in at least one RTOS
  • German language skills
  • Knowledge of SoC optimization

We offer:

Corporate Benefits
Language courses
Professional further education
Free beverages
360° support, including assistance with dealing with authorities, finding accommodation, etc.
Regular feedback meetings
Individual career planning
Collegial and friendly working atmosphere
Company pension scheme
Flexible working hours
30 days vacation and flexible holiday planning
Regular team events
Award as Kununu TOP Company

Your contact partner:


Alexander Kass

Parkring 31
85748 Garching
Tel: +49 89 5404675-16
Fax: +49 89 5404675-69

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