Metrology Machine Learning Engineer (Semiconductor)

TL;DR

Metrology Machine Learning Engineer (Semiconductor): Developing advanced models and algorithms to extract physical parameters from optical measurements with an accent on statistical inference, optimization, and deep learning. Focus on building scalable metrology applications and solving complex technical challenges to improve semiconductor production accuracy.

Location: Veldhoven, Netherlands (Onsite)

Company

A global leader in the semiconductor industry, driving innovation through advanced lithography and metrology solutions.

What you will do

• Develop optical metrology solutions using statistical inference, machine learning, and system calibration.
• Design and implement deep learning applications for data-intensive, distributed environments.
• Collaborate with physics, data science, and software engineering experts to create scalable applications.
• Communicate complex algorithm designs and physical principles to diverse stakeholders.
• Build functional proof-of-concept subsystems while balancing performance and project timelines.
• Contribute to high-quality coding standards and generate intellectual property for metrology capabilities.

Requirements

• PhD in applied mathematics, physics, computer science, or electrical engineering.
• 0–3 years of relevant work experience.
• Strong proficiency in Python, Julia, MATLAB, or C++.
• Solid knowledge of linear algebra, probability theory, optics, and optimization.
• Experience developing machine learning models and numerical algorithms.
• Must be legally authorized to access controlled technology under US Export Administration Regulations.

Culture & Benefits

• Work in a creative, dynamic environment at the cutting edge of semiconductor technology.
• Collaborate with supportive, cross-disciplinary teams in a non-siloed structure.
• Enjoy flexibility and trust in choosing how to tackle technical problems.
• Access to continuous learning and professional development opportunities.
• Commitment to an inclusive and diverse workforce.