Level

ABB

Working student (m/f/d) R&D Embedded Electronics - CoE PLC Products

AI in this role

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

R&D Team Lead

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Key responsibilities

The work model for the role is: #LI-Hybrid

You will be mainly accountable for:

  • Supporting hardware development activities for embedded electronics, PLCs, and industrial automation products.
  • Conducting research on electronic components, emerging technologies, and market trends to support development projects.
  • Building, testing, and evaluating small hardware circuits and prototypes for concept validation and feasibility studies.
  • Assisting hardware engineers with data analysis, troubleshooting, and technical investigations.
  • Supporting the creation and maintenance of hardware development documentation, including product and process documentation.
  • Exploring and evaluating CAD tools used for schematic capture and PCB layout design and supporting their effective application within the hardware development process.
  • Exploring and evaluating innovative engineering methods and tools, including the application of AI in hardware development.

Qualifications for the role

  • Currently pursuing a degree in Electrical Engineering, Electronics Engineering, Automation Engineering, Mechatronics, or a related technical field with preferably two years of completed university studies.
  • Initial hands-on experience through university projects, laboratories, internships, or personal engineering projects is desirable.
  • Strong interest in embedded electronics and hardware development as well as embedded hardware design and electronic circuit development.
  • Solid understanding of the fundamentals of electrical engineering and electronics.
  • Basic knowledge of electronic measurements, circuit testing, and debugging is an advantage.
  • Familiarity with CAD tools for schematic capture and PCB layout design as well as PLC and industrial automation products is considered a plus.
  • Fluent verbal and written communication skills in English and German.
  • Strong motivation to learn new technologies and engineering methods.
  • Open-mindedness, curiosity, and willingness to explore innovative approaches and tools.
  • Good communication skills and openness to constructive feedback and collaboration.
  • Strong team player with the ability to work effectively in a multidisciplinary environment.
  • Structured and analytical way of working.
  • Self-motivated, reliable, and capable of working independently after appropriate guidance.
  • Availability to support the team for up to 20 hours per week during the semester.

Interested in joining our team? We are looking forward to receiving your complete application through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.

ABB AG

+49 (0) 621 381 3500

Be part of something bigger. This is where progress is powered, teams initiate action, and we move the world forward—together.
Run What Runs the World.

#ABBCareers

#RunwithABB

#Runwhatrunstheworld

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

How we score this

Working student (m/f/d) R&D Embedded Electronics - CoE PLC Products at ABB scores 36 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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