Remote Work: No

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.

Let’s create tomorrow together.

We are seeking a highly skilled Application Engineer specializing in Machine Vision to join our dynamic team.

This role involves supporting customers by conducting feasibility studies for their projects and addressing their technical inquires related to Zebra’s machine vision products, as well as contributes to the product development. The individual in this position serves as a technical subject matter expert that assists sales team in evaluating potential projects and conducting technical training sessions. This role operates under established processes and directions requiring intermittent supervision.

Responsibilities:

• 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

Qualifications:

• Bachelor degree in automation control, computer science, mechatronics or similar field

• 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 version control systems (Git, SVN)

• Good knowledge of industrial communication protocols

• Good knowledge of machine learning concepts and metrics

  Advantages:

• Knowledge of Linux operating system

• Good knowledge of C++ or C#

• Knowledge of PLC programming language

  Benefits:

• Hybrid model of 3 days in the office and 2 days at home

• 4 days a year dedicated to volunteering

• Individual training and development through internal platform

• Yearly salary increases and individual performance bonuses

• Medicover medical care - Premium

• Medicover Sport / Lunches (Sodexo)

• Employee referral bonus for bringing new talent to Zebra

• Employee assistance program available 24/7

• zDays - company paid time off

• Life insurance and pension plan

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com (https://www.zebra.com/ap/en.html) email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.