Plasma Etch Process Engineer - Data-Driven Optimization

ams OSRAM; Oberpremstätten; Vor Ort; EUR 42.000 - 64.000; Vollzeit

Zusammenfassung

ams OSRAM's LSP division is seeking a motivated engineer to support ASH and UVB processes at our Steiermark site. You will monitor data from these processes, drive improvements, and collaborate across maintenance, R&D, and quality teams to reduce costs and boost yield.

The ideal candidate has a Bachelor or Master in engineering or natural sciences, fast-learning ability, basic problem-solving knowledge (8D, Six Sigma), and fluent German and English, with a structured, team-oriented work style.

Qualifikationen

• Bachelor or Master degree in engineering or natural sciences or comparable.
• Ability to learn fast and adapt quickly to new environments.
• Basic knowledge on problem solving (8D, Six Sigma).
• Independent, responsible and team-oriented way of working.
• Well organized and able to work with diverse requirements.
• Good written and spoken German and English skills.

Aufgaben

• Support the team in the area of ASH and UVB processes.
• Data-based control and monitoring of the ASH and UVB process using machine or measurement data.
• Material Lot Disposition.
• Evaluating and implementing possible process simplifications/improvements to reduce manufacturing costs, increase process yield and improve product robustness.
• Solving process or equipment problems in close cooperation with various departments or external suppliers.
• Interface with other technical areas (e.g. maintenance, R&D, line control, suppliers, etc.) and other relevant departments (e.g. quality)

Kenntnisse

German language

English language

Teamwork

Fast learner

Organizational skills

Problem solving (8D, Six Sigma)

Ausbildung

Bachelor or Master degree in engineering or natural sciences

Jobbeschreibung

ams OSRAM's LSP division is seeking a motivated engineer to support ASH and UVB processes at our Steiermark site. You will monitor data from these processes, drive improvements, and collaborate across maintenance, R&D, and quality teams to reduce costs and boost yield.

The ideal candidate has a Bachelor or Master in engineering or natural sciences, fast-learning ability, basic problem-solving knowledge (8D, Six Sigma), and fluent German and English, with a structured, team-oriented work style.