Computer Vision Application Engineer (PL), II

Remote Work: Hybrid

The Computer Vision Application Engineer II supports customers by preparing feasibility studies of their
projects and handling their technical inquires related to Zebra’s machine vision products, as well as
contributes to the product development. This person serves as a technical subject matter expert
assisting sales staff in evaluating potential projects and conducting technical training sessions. Follows
established processes and directions requiring intermittent supervision.

• Conducts advanced feasibility studies using Zebra’s machine vision software.
• Serves as a technical subject matter expert (Tier 2) for customers seeking technical support.
• Takes part in machine vision software development projects.
• Assists in preparing project specifications and time estimates of machine vision projects.
• Assists sales people in gathering customer’s technical requirements.
• Conducts trainings and seminars for internal and external audience.
• Develops official examples and documentation for Zebra’s machine vision software.
• Develops stations demonstratrating capabilities of Zebra’s machine vision products at external
events.
• Takes part in extensive tests of latest developments in order to evaluate product performance;
compares it against competition, and prepare relevant performance benchmarks.
• Tests compatibility of Zebra’s machine vision software with third-party hardware

• Minimum Education: Bachelor degree in automation control, computer science, mechatronics or
similar field
• Minimum Work Experience (years): 3+ years of machine vision engineering experience
• Key Skills and Competencies:
   - Very good knowledge of image processing algorithms
   - Very good knowledge of machine vision hardware: illumination, optics and cameras
   - Strong communication skills and a high level of problem-solving skills
   - Good knowledge of C++ or C#
   - Good knowledge of version control systems (Git, SVN)
   - Good knowledge of industrial communication protocols
   - Good knowledge of machine learning concepts and metrics
   - Knowledge of Linux operating system is an advantage