Deine Aufgaben
* Assist in the design, development, and implementation of software test solutions for diagnosing, calibrating, and verifying high-precision measurement devices.
* Collaborate with cross-functional teams in hardware, software, and maintenance to gain valuable hands-on experience and share knowledge.
* Learn to analyze test outcomes using statistical methods to continuously improve performance and reliability for our customers.
* Help create clear, concise documentation to support the functionality and use of test solutions.
* Provide support to customers, service staff, and manufacturers in challenging maintenance scenarios, with guidance from senior team members.t
Dein Profil
* Bachelor’s or Master’s degree in Electrical Engineering, Software Engineering, or a related field.
* Good Knowledge of C++ programming and an interest in object-oriented concepts.
* Good communication skills and a strong team-oriented mindset.
* A passion for precision, with a proactive and solution-focused approach to challenges.
* Willingness to learn and develop strong analytical and problem-solving skills.
* Familiarity with statistical methods (e.g., cpk, cp) is a plus, but not required—you’ll have the chance to learn on the job!
* Good written and spoken German / English knowledge
* Self-motivated, eager to learn, and organized.
Deine Bewerbung sollte folgende Unterlagen enthalten:
* Tabellarischer Lebenslauf
* Zeugnisse
Deine Bewerbung reichst du am einfachsten über unser Bewerbermanagementsystem siehe Linke ein
Bei Rückfragen wende dich gerne an:
Advantest Europe GmbH
Frau Kathrin Hinz, Personalabteilung
Herrenberger Str. 130
71034 Boeblingen
Telefon: +49.7031. 2048392
Email: kathrin.hinz@advantest.com
* Bachelor’s or Master’s degree in Electrical Engineering, Software Engineering, or a related field.
* Good Knowledge of C++ programming and an interest in object-oriented concepts.
* Good communication skills and a strong team-oriented mindset.
* A passion for precision, with a proactive and solution-focused approach to challenges.
* Willingness to learn and develop strong analytical and problem-solving skills.
* Familiarity with statistical methods (e.g., cpk, cp) is a plus, but not required—you’ll have the chance to learn on the job!
* Good written and spoken German / English knowledge
* Self-motivated, eager to learn, and organized.