SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick, the company with headquarters in Waldkirch im Breisgau near Freiburg ranks among the technological market leaders. With 63 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 2.1 billion in the 2024 fiscal year.
Job Description
Application Engineer (f/m/d)

Region Central Germany – Home Office


SICK Vertriebs-GmbH supports customers across diverse industries in the German market, successfully distributing products, services, and solutions in the fields of factory and logistics automation.

 

YOUR TASKS:

  • Analyze and develop application solutions in logistics automation
  • Support the market launch of new products, solutions, and services
  • Provide technical support and manage on-site projects
  • Conduct technical training sessions
  • Develop and support customer solutions in collaboration with partner companies
  • Act as an interface to internal and external customers, suppliers, and international subsidiaries

 

YOUR PROFILE:

  • Degree in Electrical Engineering, Computer Science, or a comparable qualification
  • First professional experience in logistics automation is an advantage – motivated graduates are welcome
  • Knowledge in technical commissioning is desirable
  • Experience with 2D/3D image processing is a plus
  • Good command of English, written and spoken
  • Confident, assertive personality with a customer- and solution-oriented approach
  • Willingness to travel internationally
Information at a Glance
Apply now
Requisition-ID:  37320
Posting Job Location:  Außendienst / Field Service, Home Office / Remote
Full-time/Part-time:  Full-time
Contract Type:  Permanent

Contact: Silvia Hartmann

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At SICK, we see people, not gender. 
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.