Field Process Engineer 2
Pubblicato il 19-10-2026 - Lam Research in Agrate Brianza
The group you’ll be a part of
The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.
The impact you’ll make
At Lam, as a Field Process Engineer you are a customer-focused expert on our equipment, pushing the boundaries to meet customer needs. You’re responsible for completing process support, evaluation, and documentation of process outputs for hardware modifications and upgrades. You play a vital role in supporting the customer in installations, training, and identifying design improvements with product groups.
In this role, you will be based in Agrate but you will have to work on customer site as well as travels within Europe and outside Europe for Trainings or business purposes.
What you’ll do
- Provide process support, installation of Lam equipment at customer sites.
- Complete Design of Experiments (DOE)
evaluations to characterize process window for new installations or modifications.
- Develop new processes for small variants to existing customer applications.
- Conduct experiments, collect, analyze data, generate reports, and provide recommendations.
- Collaborates with cross-functional teams and customers to understand their needs, technology roadmaps, process flow, requirements, and business challenges.
- Represent Lam to our valued customers and deliver exceptional customer satisfaction.
- Present technical and marketing materials with a win-win mindset to keep customers informed about products and services to address their needs.
Who we’re looking for
Minimum Qualifications:
- Masters of Science in Chemistry, Physics, Material Science, or related field; or Bachelors of Science with 2+ years of relevant work experience.
- Proficiency in computer applications, including data analysis tools