Field Diagnostics Engineer

Responsibilities

• Provide advanced diagnostics support for all generations of ZEISS lithography optics at customer sites.
• Analyze, visualize, and interpret machine and sensor data; derive root causes and propose technical solutions.
• Focus on the latest generation of lithography products and related diagnostic concepts.
• Test, implement, improve and develop new service and diagnostics scenarios in close collaboration with ZEISS teams in Germany and worldwide.
• Act as the local point of contact for all diagnostics‑related topics for our direct customer ASML and our end customers.
• Document findings, create clear reports, and share best practices within the global ZEISS service and development community.
• Primarily support troubleshooting remotely from the back office, with on‑site presence and occasional international travel only as required.

• Bachelor's, Master's, or Ph.D. in Physics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related technical discipline. (Master's or Ph.D. preferred but not required.)
• 3–5 years of experience analyzing technical measurements and operational data from complex equipment, semiconductor tools, or other high‑tech systems.
• Experience in Applications Engineering, Field Service Engineering, Advanced Service, Product Support, or Systems Engineering within the semiconductor or high‑tech industry preferred.
• Knowledge of optics, optical metrology, or precision measurement systems is highly desirable.
• Proficiency with Python and/or MATLAB for data analysis, scripting, visualization, and automation.
• Familiarity with control systems, mechatronics, optical metrology, signal processing, or semiconductor inspection systems is a plus.
• Experience with statistical analysis, troubleshooting, and root cause investigation is preferred.

Demonstrates expertise in advanced diagnostics support for lithography optics, with strong capabilities in data analysis, root cause investigation, and technical solution development. Proficient in Python and MATLAB for data visualization and automation, with a solid understanding of optics and semiconductor systems.