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Camera Vision Senior Systems Engineer

By November 21, 2022November 29th, 2022No Comments


  • Integrate machine vision systems, barcode reader, robotic vision and equipment monitoring systems into manufacturing line

  • Manage vendor vision systems and adapt the systems to vehicle infrastructure

  • Lead vision systems updates, upgrades and replacements on all equipment in the cell organization

  • Participate in initial equipment conceptual development and carefully balance product specifications, process requirements, layout complexity, cost, and lead-time limits for all future systems

  • Train and equip Sustaining Team to support vision systems after deployment into production


  • Common vision platforms: Cognex, Keyence, SICK, Fanuc, KUKA, Halcon, Matrox, OpenCV, etc.
  • Vision systems hardware: cameras, displacement sensors, frame grabbers, lightning, lenses, etc.

  • Programming vision systems applications using common programming languages such as VB, C++, C#, Python

  • Network infrastructure and industrial protocols like EtherCAT, Profinet and TPC/IP

  • Debugging and troubleshooting visions system deployments to maximize throughput and uptime

  • Commissioning vision cameras for 2D/3D part inspection, robot automation, and process control

  • Developing controls specifications and standards; facilitating vendor conformance to standards; and evaluating vendor proposals

  • Establishing vision systems test plans

Minimum Requirements

  • Proficiency with vision systems, both theory and practical applications

  • Advanced vision systems deployment and maintenance skills

  • Able to use common hand tools and diagnostic instruments

  • Familiar with communication protocols like EtherCAT, Profinet and TCP/IP

  • Very good written and spoken English skills

  • Multi-tasking ability to manage multiple projects at the same time

  • Able to work under pressure in the presence of stakeholders

  • Willing to work nights and weekends when determined by project needs

  • Degree as Bachelor / Master / Dipl.-Ing. in Electrical, Mechanical or Mechatronics Engineering, Computer Science or the equivalent in experience and evidence of exceptional ability

  • At least 5+ years of relevant professional experience with vision systems and automation

Nice to Have

  • Exposure to a wide variety of production machinery, industrial sensors, and equipment (LVDT and pressure transducers, dispense systems, temperature controllers, current and power meters, etc.)

  • Exposure to programming Industrial PC, PLC and motor controllers

  • Robotic cell design and installation

  • Process knowledge in the field of cell manufacturing