Machine Learning Specialist (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 your 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.


Tasks:

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

Skills:

  • Good know-how in machine learning with emphasis on deep learning
  • Good knowledge of Computer Vision
  • Very good knowledge of algorithm development and sound mathematical skills
  • Good knowledge of software development in C/C++ and Python
  • Experience in sensor fusion
  • Know-how in Caffe, TensorFlow or Torch
  • Advanced knowledge of Linux
  • Good English language skills

other desired qualifications:

  • 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)
  • Experience with the NVIDIA DRIVE API and the DRIVE PX2 SDK
  • Embedded expertise in the automotive or robotics sector
  • German language skills
  • Knowledge of SoC optimization

We offer:

Corporate Benefits
Free beverages
Individual further education
360° Support: feedback meetings, career planning, relocation support, etc.
Flexible working hours and opportunities for remote work
Company pension plan & capital-forming benefits
30 days vacation and flexible holiday planning
Regular team events
Award as Kununu TOP Company

Your contact partner:

user

Alexander Kass

Parkring 31
85748 Garching
Germany
Mail: alexander.kass@k-tronik.de

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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