Computer Vision Engineer

at  Kubota Holdings Europe

LAY THE GROUNDWORK FOR TOMORROW WITH KUBOTA!

Since 1890, Kubota has evolved in a unique way worldwide. With a strong will to solve problems in food, water and the environment, we have leveraged our strength as a manufacturer and a solutions provider. Spanning across 120+ countries and employing more than 50,000 people in Asia, Europe and North America, Kubota generates revenue in excess of $20 billion. From agricultural and industrial machinery, and overall water solutions, to any other living environment solution, our question, and our challenge was always the same: what can we do to meet the demands and enhance our lives for tomorrow?
Explore this exciting career opportunity and join us on the journey as we seek to be an “Essentials Innovator for Supporting Life”.
My job, Our future

REQUIREMENTS:

• Educational background in Computer Science, Robotics, Optics or related fields with 5+ years of experience.
• Proficiency in Python and basic Python libraries such as Numpy, Matplotlib
• Extensive knowledge in image processing, classical and modern deep learning based computer vision
• Familiarity with computer vision, point cloud processing libraries and machine learning framework, such as OpenCV,Open3D, PyTorch.
• Experience with DevOps, MLOps.
• Experience with different types of cameras such as RGB, multispectral and depth cameras.
• Ability to conduct hands-on experiments and test hypotheses.
• Communication skills for requirement definition or alignment of specs with global stakeholders by documentation, design reviews, etc.

CV systems development:

• Define requirements and specifications for the CV systems, communicating with global stakeholders of Kubota and partners.
• Define and design experiments from data collection to evaluation and testing.
• Develop CV algorithms by combining technologies such as image processing, classical CV and modern deep learning based CV etc.
• Develop software required for the visualization, analysis and testing of the developed CV algorithms.
• Planning and execution support for the integration of the CV algorithms onto the agricultural machineries.
• Technical information collection, reporting, and evaluation of the AI/CV integrated agricultural products, related sensors.
• Manage relationships with contract manufacturers, suppliers, and external partners.
• Work within joint research projects with external local and international partners.