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NXE Production Engineering Quality Manager

Job in Wilton, Fairfield County, Connecticut, 06897, USA
Listing for: ASML Germany GmbH
Full Time position
Listed on 2026-09-20
Job specializations:
  • Engineering
    Quality Engineering, Lean Manufacturing / Six Sigma
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

Introduction to the Job

At ASML, our technology enables the world’s leading chipmakers to produce faster, more powerful, and more energy-efficient microchips. As an NXE Production Engineering Quality Manager, you will play a critical role in ensuring quality is embedded into every stage of manufacturing within our NXE factory in Wilton, Connecticut.

This leadership position combines people development, quality strategy, and operational excellence. You will build and develop a high-performing team of quality professionals while driving factory-wide quality improvements that support production, customer satisfaction, and future growth. The NXE Production Engineering Quality Manager helps create a culture where quality ownership, continuous improvement, and defect prevention are part of how the factory operates every day.

Role

and Responsibilities

As an NXE Production Engineering Quality Manager, you will lead the Quality Engineering organization supporting NXE factory operations. You will establish the vision, strategy, and priorities for the team while partnering with cross-functional stakeholders to drive sustainable improvements across quality, manufacturing, and business performance.

You will:

  • Lead, coach, and develop Quality Engineers and technical project leaders.
  • Establish team priorities, development plans, succession strategies, and talent growth initiatives.
  • Define and communicate the quality vision, roadmap, and strategic objectives for the factory.
  • Drive defect prevention, process control, quality gate deployment, and continuous improvement initiatives.
  • Build organizational capability through training, coaching, and technical competency development.
  • Partner with manufacturing, engineering, supplier quality, and operations teams to resolve systemic quality challenges.
  • Sponsor cost reduction initiatives that improve quality performance, operational efficiency, and business results.
Education and Experience

To be successful in this NXE Production Engineering Quality Manager role, you should have:

  • Bachelor’s degree in engineering, manufacturing engineering, industrial engineering, quality engineering, or a related technical field.
  • Minimum 8 years of experience in quality engineering, production engineering, manufacturing engineering, or a related manufacturing environment.
  • Minimum 3 years of experience leading engineers, technical teams, or project leaders.
  • Experience with Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), Measurement System Analysis (MSA), and root cause analysis methodologies.
  • Experience driving quality improvements, operational excellence programs, and business process improvements.l
  • Experience using analytical tools such as Python, Minitab, JMP, or similar data analysis software.
  • Proven success influencing cross-functional stakeholders and leading organizational change.
Skills

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view.

You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.

To thrive in this job, you’ll need the following skills:

  • Lead and inspire high-performing technical teams.
  • Coach and develop engineers through complex technical and organizational challenges.
  • Build collaborative relationships across diverse stakeholder groups.
  • Communicate effectively with technical, operational, and business audiences.
  • Analyze data and make informed decisions using a structured approach.
  • Drive accountability, ownership, and…
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