Become part of our team and actively contribute to the continued expansion of our fully automated 300 mm semiconductor manufacturing line in Dresden.
As a MEMS Process Development Engineer, you will be responsible for the pre-development of innovative thin film single processes and process modules for highly advanced future sensor applications on 300 mm wafers:

• Own the development, adaptation, and implementation of novel thin-film processes and technologies (e.g., evaporation, CVD, ALD) for MEMS applications in a 300 mm environment
• Drive the transfer of new MEMS processes and equipment from research into a highly automated 300 mm production line
• Build and manage strong collaborations with research institutes (for fundamental development) and equipment suppliers (for industrialization up to high-volume manufacturing)
• Lead feasibility studies, economic evaluations, and cost comparisons of new processes, technologies, and equipment, ensuring alignment with technical feasibility, capacity requirements, and future manufacturing needs
• Take full ownership of planning, executing, and evaluating experiments, including coordinating required analyses in close collaboration with the team, front-end manufacturing, and overall process integration
• Contribute as a key expert within an interdisciplinary team, closely collaborating with front-end manufacturing and overall process integration
   

• Personality: High level of enthusiasm, problem-solving ability, assertiveness, self-initiative, creativity, and teamwork, with the capability to perform effectively under pressure
• Working Practice: You are working systematically, goal-oriented, decisive
• Experience and Know-How: Several years of relevant professional experience; strong expertise in semiconductor technology, surface physics, surface chemistry and process engineering; knowledge of relevant analytical techniques is a plus (e.g. ellipsometry, XPS, surface energy measurements); excellent understanding of physical principles and their interdependencies; strong affinity for data analysis and the application of statistical methods
• Language: Very good English skills, German beneficial
• Education: Completed university studies (PhD/Master/Diploma) in engineering or natural sciences, physics, chemistry, material science or comparable qualification