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

ZEISS Group; Oberkochen; On-site; EUR 75,000 - 110,000; Full time

Job summary

ZEISS Group in Oberkochen seeks a highly skilled professional to advance assembly, integration, and process technologies for opto-mechanical components across current and future product generations. You will work at the interface of engineering and operations, applying data-driven methods to improve process understanding and robustness.

You bring a PhD or equivalent experience in a related field, strong knowledge of manufacturing technologies, and proficiency in Python and data analytics.

Qualifications

• Degree in Mechanical Engineering, Physics, Manufacturing Engineering, Systems Engineering, or related technical field; PhD preferred.
• Experience in assembly, integration, and manufacturing technologies; process development and industrialization.
• Experience with data-driven process analysis and statistical methods; Python and data analytics desirable.
• Strong analytical, planning, and stakeholder management skills.
• German and English fluent, written and spoken.

Responsibilities

• Develop and advance assembly, integration, and process technologies for opto-mechanical components across current and future product generations.
• Analyze, model, and optimize manufacturing processes using statistics and data analytics.
• Define technical requirements and drive development, validation, and industrialization of process solutions with stakeholders.
• Contribute to process standards, best practices, and roadmaps for sustainable manufacturing.

Skills

Mechanical Engineering

Process Development

Data Analytics

Statistical Methods

Python

Communication

Education

Mechanical Engineering degree

PhD preferred

Tools

Python

Job description

Enabler for smaller, more powerful, and more energy-efficient microchips

Working 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 Role

• 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 approaches to improve process understanding, capability, and robustness

• Define and align technical requirements and drive the 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

Your Profile

• Successfully completed degree in Mechanical Engineering, Physics, Manufacturing Engineering, Systems Engineering, or a related technical discipline; preferably with a PhD or equivalent professional experience

• Strong knowledge of assembly, integration, and manufacturing technologies as well as experience in process development and industrialization

• Experience 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 desirable

• Strong analytical and conceptual thinking combined with excellent planning, communication, and stakeholder management skills

• High level of initiative, customer orientation, resilience, and a business-oriented mindset.

• Fluent German and English language skills, both written and spoken