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Computer Vision Expert

apiplani – Posted on June 23, 2017 at 10:09 am –


Are you curious, eager, creative, and capable of pushing the
technical boundaries within one of the top three most innovative companies in
the Netherlands? At Lely, you will utilize your talent to further develop our
state of the art vision systems in order to invent the best robots in the
agricultural sector.

Main Tasks

You will be part of a multi-disciplinary team conducting
research and development in computer vision for autonomous vehicles, milking
robots, and other exciting challenges.

Your responsibilities include:

  • Developing embedded vision
    systems within multi-disciplinary teams.
  • Creating proof-of-concept of your
    ideas for applying computer vision to Lely robots.
  • Designing, implementing and unit
    testing of software.
  • Maintaining existing software.
  • Setting up test procedures along
    with Test Engineers.

Profile

Successful applicants will be positive, creative,
perseverant and equally comfortable with researching new technologies and
realizing vision systems for commercial products. They would have experience in
Machine Vision and Machine Learning.

However, great minds can learn anything. If you have an
algorithmic mind and love to create products, we are happy to have a chat!

Minimum
Qualifications

  • Experience developing complex
    algorithms.
  • MSc Computer Science, Robotics,
    Embedded Systems or a relevant field.
  • Excellent at your favorite
    programming language.
  • At least 2 years’ experience in
    an R&D environment.

Preferred
Qualifications

  • Experience with computer vision.
  • Knowledge of C++, Python and
    MATLAB.
  • Experience developing embedded
    real-time CV methods.
  • Knowledge of computer vision
    libraries such as OpenCV, FastCV.
  • Knowledge of optimizing software
    for heterogeneous platforms (for example with OpenCL).
  • Familiar with 3D camera
    technologies such as Time of Flight, Structured Light, Stereo Camera and Laser.
  • Knowledge of Machine Learning is
    a plus (for example with Caffe, torch, TensorFlow or theano)
  • Experience with working in
    multidisciplinary Agile Scrum teams.

Application

Mail to discuss the options!


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