Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.

Your role:

You’ll help advance next-generation materials for the semiconductor industry by turning process and product data into reliable, timely decisions. Working close to manufacturing processes, you’ll identify critical parameters, sources of variation, and potential impacts on yield, quality, and reliability. You’ll build trusted data pipelines and automated analyses that help teams investigate issues, assess deviations, and understand true process performance. Using statistical methods, you’ll model complex datasets, monitor process and product performance, and turn findings into clear, decision-ready insights. You’ll investigate abnormal events and support rigorous risk reviews, effective corrective and preventive actions, and changes that protect customers. In partnership with Operations, QC, Engineering, Facilities, and colleagues across sites, you’ll strengthen a proactive quality culture and help prevent quality issues before they reach customers. You’ll develop AI-enabled and agentic applications that make reliable insights easier to access and support self-service. You’ll also lead cross-site capability building and continuous improvement, with travel to global manufacturing sites and, as needed, customer locations.

Who you are:

You have a bachelor’s degree in Chemical Engineering.

You bring at least five years of experience in chemical manufacturing, process or control engineering, analytical chemistry, and/or semiconductor fabrication.

You have advanced statistical expertise, including SPC, t-tests, ANOVA, and univariate or multivariate statistical modeling.

You speak German proficiently and communicate excellently in written and spoken English.

You bring a strong safety- and quality-focused approach to process control, variation reduction, and customer protection.

You have experience with process improvement, data automation or digitization, and statistical or data-science tools such as JMP, Palantir Foundry, Tableau, Python, or JSL.

You are familiar with quality and problem-solving methods such as 5 Whys, FMEAs, CAPA, management of change, document control, and continuous improvement; semiconductor or fab process engineering experience is an advantage.

You communicate clearly, build stakeholder alignment, and stay organized and resilient while advancing multiple projects through ambiguity; willingness to travel and additional language skills are welcome.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Senior Quality Engineer / all genders / Partfulltime

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