Software engineer (m/w/d) – ZB21

Aufgaben – Einleitung

  • As a software engineer at our client in Berlin you will work on the following things:
  • • Finding the best ways to understand traffic situations via computer vision
  • • Implementing computer vision algorithms on embedded hardware
  • • Optimizing algorithms for a best trade-off between performance and energy efficiency
  • • Building a digital twin for continuous testing
  • • Building a customer-centered interface for different use-cases
  • • Writing clean code for certification
  • Requirements
  • • A university degree in a technical field (or equivalent), like computer science, physics, engineering or similar
  • • Solid experience with C++/C (and python)
  • • Experience in classic computer vision and image processing
  • • Solid experience with the CUDA programming model, GPU Hardware, PTX/SASS, OpenMP and SIMD architectures, especially ARM NEON.
  • • Experience with CI/CD, autonomous driving simulators and 3D rendering libraries
  • • Experience with the NVIDIA Jetson platform and utilizing Linux APIs for hardware interfaces
  • Client benefits
  • – Joining right from the beginning: Your ideas and solutions are at the foundation of a product that will be used in cities all around the globe.
  • – You get the unique opportunity to develop a multi-sided skillset in software and hardware development, ranging
  • from low-level embedded programming to the training of high-level machine learning models.
  • – You get the opportunity to learn the full spectrum of product design: From iterating new requirements with the
  • customer to going through the certification progress and enabling delivery.
  • – You will be part of a team of open people that have a strong drive to make things happen. We solve problems quickly and without bureaucracy.

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Ingenieurwesen | IT und Informatik
Biotechnologie | Elektrotechnik | Energie & Umwelt | Gesundheitswesen | Industrielle Produktion | Kommunikation & Design | Logistik | Luft- & Raumfahrt | Öffentlicher Dienst & Verwaltung | Tech & Data | Verkehr & Mobilität | Wissenschaft, Lehre & Forschung
17 Tage
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