Physics Machine Learning Engineer

Research & development

In a nutshell


Veldhoven, Netherlands


Research & development

Work Experience

3-7 years



Job ID: J-00258078-298

Physics Machine Learning Engineer

Do you enjoy solving algorithm design problems for the semiconductor metrology industry, with demanding time, accuracy, and memory requirements ? Do you like to use your creativity, your in-depth knowledge of physics principles and machine learning pipelines, and your hands-on experience with practical problem solving, being part of a highly talented group of algorithm experts ?

Sector Information

Within ASML the sector Development & Engineering is responsible for the development, specification and design of new ASML products. The Business Line Applications provides integrated solutions with computational, metrology and control technology. These solutions extend and improve the performance of lithography and patterning products for the semiconductor industry.

Group Mission

Within D&E Applications, the Algorithms and Physical Modeling group covers the development of models and methods required to infer physical model parameters from optical scatterometry data obtained using the YieldStar. Relevant new metrics, as well as new measurement functions, with optimum performance characteristics using the raw acquisitions are identified, designed and implemented. The group secures the ASML Competency of Applied Mathematics for Parameter Estimation.

Job Description

  • Develop optical metrology solutions with statistically correct parameter inference, machine learning and optimization algorithms, and system calibrations, to improve semiconductor metrology and enable high-volume fab control solutions.
  • Implement machine learning and deep learning metrology applications, with a mindset for scalable data-intensive and distributed software architectures, at the interface with colleague data science, functional and software groups at ASML.
  • Drive for data and code quality, and collaborate and help to implement along industry coding best practices.
  • Work as a team with similar-minded people, benefitting from each other’s specific competences.
  • Communicate crystal clearly on physical principles, algorithm solutions and design decision to stakeholders, without omitting the essentials.
  • Design and realize fully functional proof-of-concept subsystems on the edge of system specifications, costs and project planning, thereby contributing directly to products for B2B customers world-wide.
  • Review technical analyses from the team, and structure team contributions keeping the overview.
  • Consolidate technical-team identity in communication with other departments.
  • Contribute to technical product roadmaps and generate intellectual property protecting ASML products, while developing the best metrology solutions and a well-founded vision on semiconductor metrology.
  • Keywords: deep learning pipeline, data-intensive and distributed computing, cloud computing, data processing, parameter inference, (non-)convex optimization, physics, software, dataflow, robust (un)supervised and reinforcement learning, neural network, inverse problem, physical calibration, mathematics, optics, regression, information theory.


  • D. in Physics, Computer Science, Electrical Engineering, or Applied Mathematics

Personal skills

  • Excellence in numerically stable modeling, code development, using sound physical principles and insights
  • Ability to explain physical principles and algorithmic solutions in a crisp way, without omitting the essentials
  • Affinity with data-intensive and distributed software architecture (cloud) as environment for metrology applications
  • Drive for structuring the scripting code base in the cluster, and be energized by helping colleagues in this
  • Fluency in the languages Python, Julia, MATLAB, or C++, and awareness of compatibility with other softwares
  • Sound understanding of the fundamentals such as optics, linear algebra, probability theory, stochastic programming, robust optimization and (deep) learning methods
  • Drive creative solutions -within the bigger picture- with the product and customer in mind
  • Initiating, self-propelling and decisive in an ambiguous environment
  • Team worker, and ability to influence without power
  • Pragmatic approach and pro-active attitude, with result focus and a ‘can do’ spirit

Diversity & Inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

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