Interact with internal and external stakeholders to manage program
requirements and negotiate scope, budget, resources etc
Developing, porting and optimizing computer vision algorithms and data
structures on proprietary cores; Perhaps using
Design, implement, validate, and release applications and capabilities in C++
Involved in research and development effort of advanced product-critical
computer vision components covering key product critical perception features
such as feature extraction, tracking objects, sensor calibration.
Integrate vision and learning as part of the complete system that operates the
farm. This can touch many different parts of our system including image
processing, cloud storage, and embedded development
Contribute to the design and implementation of the overall system that
coordinates all devices.
Integrate and test software solutions on farm hardware systems
Write clear and testable code
Participate in design discussions and code reviews
Solid foundation in computer vision: photogrammetry, multi-view geometry,
visual SLAM, detection and recognition, 3D reconstruction.
5 – 8+ years of experience in machine learning, large scale data processing /
Artificial Intelligence (AI), Computer vision (CV), Machine Learning (ML), Deep
Learning, TensorFlow, Python, Neural networks, OpenCV, Keras.
Solid programming skills with Python and C/C++
Deep understanding of algorithms and workflows, in particular working with
large scale visual data
Strong knowledge of the state-of-the-art in computer vision algorithms and
techniques with a solid understanding of OpenCV.
Write maintainable, reusable code, leveraging test-driven principles to develop
high-quality computer vision and machine learning module.
Visualization and deeper understanding of deep learning networks
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