Computer Vision Expert Embedded Deep Learning (f/m/div.)

  • Wiener Straße 42, Stuttgart, Deutschland
  • Full-time
  • Legal Entity: Robert Bosch GmbH

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.                       

The Robert Bosch GmbH is looking forward to your application!

Job Description

The future of computer vision determines the future of autonomous driving - are you able to make the difference?

  • As Computer Vision Expert you analyze image processing algorithms regarding to their embedded implementability (e.g. regarding to parallelizability and memory bandwidth efficiency).
  • You coordinate with the algorithm developers and find compromises when there are conflicting requirements.
  • You implement the algorithms on digital signal processors, GPUs and special DL-accelerators in C/C++, Cuda and assembler.
  • Furthermore, you analyze and optimize the solution approaches on the target hardware regarding to computing time and memory utilization and document and test your results.
  • You will work in an environment to create a world leading computer vision solution at the world's largest automotive supplier and in close collaboration with our OEM customers.

Qualifications

  • Education: degree in computer science or a related field
  • Personality and working method: team player, flexible, good communication skills, self-responsible and pro-active
  • Experience and Knowledge: several years experience in embedded programming for real-time systems, especially in CUDA, good knowledge of SIMD programming, experience in programming multi-core systems, good knowledge of image processing
  • Languages: fluent German and English skills

Additional Information

Apply now in just 3 minutes!
No cover letter is required for this position.

You want to work remotely or in part-time - we offer great possibilities for mobile working and different part-time models.

Need support during your application?
Adrian Beutel (Human Resources)
+49 711 811 27525

Need further information about the job?
Dora Ahbe (Functional Department)
+49 711 811 8205

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