Student System Test Engineer – AI-Driven QA

Danfoss GmbH

Kolding

On-site

DKK 165,000 - 248,000

Part time

4 days ago
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Job summary

Danfoss in Kolding, Denmark, is seeking a student worker for a System Test Engineer role. You will design and implement automated testing frameworks for smart home devices, leveraging HIL/SIL setups and CI/CD pipelines.

This position offers hands-on, real-world experience while fitting around your studies. You will learn to analyze requirements, assess risks, and translate them into executable test cases, while exploring AI-assisted test automation and data-driven quality improvements.

Qualifications

  • Currently pursuing a degree in Computer Science, Engineering, or a related technical field.
  • Some project or coursework experience with Python and LabVIEW/TestStand test systems.
  • Familiarity with CI/CD concepts and firmware testing.
  • Understanding of threat modeling and wireless protocols such as Zigbee, Matter, BLE, Wi‑Fi, LoRaWAN.

Responsibilities

  • Design and build automated testing frameworks, integrating HIL and SIL setups.
  • Support testing strategy by identifying edge cases and prioritizing automation.
  • Integrate automated firmware tests into CI/CD pipelines for rapid feedback.
  • Translate requirements and risk assessments into traceable test cases.
  • Perform log analysis and investigate security findings across hardware, firmware, cloud, and mobile applications.

Skills

Python
LabVIEW
TestStand
CI/CD
Problem solving

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Hardware-in-the-Loop (HIL)
Software-in-the-Loop (SIL)

Job description

Danfoss in Kolding, Denmark, is seeking a student worker for a System Test Engineer role. You will design and implement automated testing frameworks for smart home devices, leveraging HIL/SIL setups and CI/CD pipelines.

This position offers hands-on, real-world experience while fitting around your studies. You will learn to analyze requirements, assess risks, and translate them into executable test cases, while exploring AI-assisted test automation and data-driven quality improvements.

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