Remote Work: Hybrid
Overview:
At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer's and partner's needs and solve their challenges.
Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.
You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about - locally and globally. We've only begun reimaging the future - for our people, our customers, and the world.
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The Computer Vision Application Engineer I supports customers under close supervision by preparing
feasibility studies of their projects and handling their technical inquires related to Zebra machine vision
products, as well as contributes to the product development by preparing official examples and
documentation
Responsibilities:
• Conducts feasibility studies under the supervision of higher-level Application Engineers.
• Serves as Tier 1 technical support for partners and customers.
• Prepares official examples and documentation for Zebra machine vision software.
• Learns to conduct technical trainings and seminars for internal and external audience.
• Tests compatibility of Zebra's machine vision software with third-party hardware.
• Verifies bug reports provided by customers; works with customers to specify reproduction
steps.
• Assists in designing stations demonstrating capabilities of Zebra's machine vision products.
• Typically receives detailed instructions on routine work, new projects, or assignments.
Qualifications:
• Minimum Education: Bachelor degree in automation control, computer science, mechatronics or
similar field
• Minimum Work Experience (years): no work experience needed
• Key Skills and Competencies:
- Basic understanding of image processing algorithms
- Basic understanding of imaging hardware: illumination, optics and cameras
- Strong communication skills and a high level of problem-solving skills
- Basic knowledge of C++ or C#
- Basic knowledge of industrial communication protocols
- Basic knowledge of machine learning concepts and metrics
- Knowledge of Linux operating system is an advantage
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