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Nice to meet you – we are Kornit Digital!

Kornit Digital (NASDAQ: KRNT) is a worldwide market leader in sustainable, on-demand, digital fashion and textile production technologies. The company is writing the operating system for fashion with end-to-end solutions including digital printing systems, inks, consumables, software, and an entire global ecosystem that manages workflows and fulfillment.

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We are looking for a Machine Vision Systems Engineer to develop solutions for the company’s portfolio, including quality control, color management, calibration, and automated machinery.


Reports to: Systems Engineering Director

Location: Afek Industrial Park, Rosh Ha’ayin

What You Will Do:

  • Lead MV systems engineering of company’s multidisciplinary systems and sub-systems
  • Translate product requirements and field issues into engineering requirements and corresponding architectures​, and evaluate alternative solutions
  • Support development teams in a matrix structure
  • Perform necessary calculation and simulation required for system development
  • Setup integration and testing environments, develop and assemble testing facilities and prototypes, and analyze results
  • Set guidelines for the verification and validation process
  • Lead root cause analysis processes

What should you have:

  • B.A/B.Sc in Applied Physics or related fields of engineering
  • At least 5 years of experience as R&D Engineer
  • Extensive hands-on experience in designing and conducting experiments
  • Strong background and experience in one or more areas: camera technologies, image processing, computer-controlled experimentation
  • Proficient in MV SW tools, Matlab or Python
  • Successfully leading of projects full life cycle including NPI – an advantage
  • Experience from a printing or capital equipment company – an advantage



Personal Skills:

  • Self-motivated, creative, and innovative
  • High learning and development ability, wide systemic vision, ability to work Independently with can-do attitude
  • Able to work effectively as a part of a team in a multi-disciplinary environment, and to interact effectively with people with a variety of expertise
  • Excellent communication skills (both oral and written)