Senior Computer Vision Engineer

About the company: Headquartered in Denver Colorado, DSR Corporation is a global leader in custom enterprise software development. With over two decades of experience, DSR possesses rich and proven e

About the company: Headquartered in Denver Colorado, DSR Corporation is a global leader in custom enterprise software development. With over two decades of experience, DSR possesses rich and proven expertise in IoT, big data and analytics, enterprise web system development, wireless, blockchain, embedded system development, M2M, UX/UI, computer vision, and mobile development.

DSR’s customers include Bosch, Casio, Netflix, Panasonic, Amazon and other established brands. The company has offices located around the world including the USA, Russia, Portugal, and Japan.

Noema, a DSR Corporation company, leverages more than 20 years of DSR’s proven experience of custom software engineering encompassing projects of all scales and across many industries. The company is focused on delivering the most up-to-date and reliable AI and Computer Vision solutions for security, manufacturing, retail, healthcare and smart homes/cities businesses.


Responsibilities:

Develop optimal CV algorithms in terms of their application on edge devices (jetson Tx2/Nano, Coral TPU, MCU, …).

For example:

  • solve the pose estimation problem in the optimal way to run on Jetson nano
  • train a DNN for simple object detection, the inference of which will fit in a minute on the microcontroller.

The embedded systems engineer will deal with the deployment of the algorithm to the device, but you will still need to understand the features of hardware in the process. The position is an intersection of cv/ml engineer and embedded systems engineer with the focus on cv/ml.


Required Skills:

  • Python and data analysis packages (scikit-learn, pandas, numpy, scipy)
  • 3 – 5 years of professional, relevant experience
  • Deep learning frameworks (tensorflow/pytorch)
  • Understanding SOTA approaches in computer vision
  • Basic classic CV algorithms
  • Experience using Data Science in real projects
  • Strong knowledge of mathematical statistics and probability theory
  • Git, Linux (bash, GNU tools)
  • Good written and spoken English


Preferred Skills:

  • Experience in developing embedded systems
  • Knowledge of C / C++ and Kotlin
  • Participation in Kaggle


Key Skills:

  • Deep learning frameworks (tensorflow/pytorch)
  • Classic CV algorithms
  • Python and data analysis packages (scikit-learn, pandas, numpy, scipy)

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