Real Time Embedded Developer for Deep Learning

Brodmann17 is a VC backed startup, developing game changing Deep Learning algorithms that can extract more AI out of any device. Our pioneering technology can achieve the best performance and accuracy, making it an ideal solution to the most demanding challenges of the automotive and IoT environments.If you want to work in one of the most interesting AI companies led by top technologists and researchers in this field - join us!


About the Job:

We are looking for talented real time developer to work closely with our top developers and researchers on implementing cutting edge deep learning technologies on various hardware platforms.

Main responsibilities:

  • Create, optimize, and maintain software to support real-time deep learning.
  • Involvement in software architecture design and system level requirements from top-level down to block level
  • End-to-End development of challenging real-time software applications
  • Required

  • BSc/MSc/PhD in Computer Science
  • 4+ years of hands-on real-time optimizations on embedded hardware
  • Strong software engineering competency in C++ (5+ years of experience, a MUST).
  • Experience in SIMD programming such as NEON, AVX and/or SSE
  • In depth knowledge of ARM processor architecture (cpu/gpu)
  • Big Advantage:

  • Familiarity with toolkits for deep learning such as TensorFlow, PyTorch
  • Good knowledge and experience in Computer Vision algorithms(Object detection, Segmentation) and Machine Learning
  • Low level system experience with Linux, including device drivers and multicore systems
  • GPU Programming using Cuda or OpenCL, an advantage
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