Process Development Engineer - Process Technologies & Integration (f/m/x)

ZEISS Group; Oberkochen; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

ZEISS Group in Oberkochen, Germany, is seeking a highly skilled engineer to advance assembly, integration, and process technologies for opto-mechanical components across current and future product generations.

You will analyze, model, and optimize manufacturing processes using statistics, data analytics, and machine learning to enhance understanding, capability, and robustness, collaborating with interdisciplinary teams and external partners to drive innovation.

Qualifikationen

• Degree in Mechanical Engineering, Physics, Manufacturing Engineering, Systems Engineering, or related technical discipline; PhD or equivalent experience preferred.
• Strong knowledge of assembly, integration, and manufacturing technologies and experience in process development and industrialization.
• Experience in data-driven process analysis and statistical methods (Design of Experiments, Statistical Process Control, regression analysis, multivariate analysis, process capability analysis); Python and industrial data analytics desirable.

Aufgaben

• Develop and advance assembly, integration, and process technologies for opto-mechanical components, assemblies, and modules across current and future product generations.
• Analyze, model, and optimize manufacturing and integration processes using statistical methods, data analytics, and machine learning to improve understanding, capability, and robustness.
• Define and align technical requirements and drive development, validation, and industrialization of process solutions in close collaboration with interdisciplinary stakeholders, suppliers, and external partners.
• Contribute to the establishment of process standards, best practices, and technology roadmaps to enable sustainable manufacturing excellence.

Kenntnisse

Data-driven analysis

Statistical methods

Python

Machine learning

Stakeholder management

German & English

Ausbildung

PhD preferred

Engineering degree

Tools

Python

Statistical software

Jobbeschreibung

Enabler for smaller, more powerful, and more energy-efficient microchipsWorking for tomorrow today.Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.We shape the assembly and integration technologies for the entire ZEISS product portfolio, where highly sophisticated optical components are transformed into reliable, state-of-the-art systems for semiconductor manufacturing. In this role, you will work closely with interdisciplinary teams from design, engineering, equipment development, software, metrology, and manufacturing. You will contribute to the development of innovative process technologies, establish robust integration concepts, and drive data-driven process optimization across multiple product generations. Working at the interface between Engineering and Operations, you will help transfer new technologies into manufacturing while continuously expanding process understanding through experiments, statistical analysis, and modern data analytics approaches.Your RoleDevelop and advance assembly, integration, and process technologies for opto-mechanical components, assemblies, and modules across current and future product generationsAnalyze, model, and optimize manufacturing and integration processes using statistical methods, data analytics, and machine learning approaches to improve process understanding, capability, and robustnessDefine and align technical requirements and drive the development, validation, and industrialization of process solutions in close collaboration with interdisciplinary stakeholders, suppliers, and external partnersContribute to the establishment of process standards, best practices, and technology roadmaps to enable sustainable manufacturing excellenceYour ProfileSuccessfully completed degree in Mechanical Engineering, Physics, Manufacturing Engineering, Systems Engineering, or a related technical discipline; preferably with a PhD or equivalent professional experienceStrong knowledge of assembly, integration, and manufacturing technologies as well as experience in process development and industrializationExperience in data-driven process analysis and statistical methods (e.g. Design of Experiments, Statistical Process Control, regression analysis, multivariate analysis, process capability analysis); experience with Python and industrial data analytics is desirableStrong analytical and conceptual thinking combined with excellent planning, communication, and stakeholder management skillsHigh level of initiative, customer orientation, resilience, and a business-oriented mindset.Fluent German and English language skills, both written and spokenYour ZEISS Recruiting Team:Sandra Köhler