Machine Learning and Optimization Design Engineer Job in Veldhoven, Netherlands

ASML is one of the world’s leading manufacturers of chip-making equipment.

Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.

ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.

Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.

As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.

But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.

So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.

Machine Learning and Optimization Design Engineer Job Description

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

Job Mission
Within D&E Applications, the group YieldStar Algorithms and Physical Modeling covers the development of models and methods required to infer physical model parameters from optical scatterometry data. 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
- Propose solutions for statistically correct parameter inference, machine learning and optimization algorithms, and system calibrations, which improve semiconductor metrology and enable control solutions.
- Communicate crystal clearly on the mathematical principles, algorithm solutions and physical models 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.
- Interfacing with the Research and On-Product Applications groups, while developing the best metrology solutions and a well-founded vision on semiconductor metrology.
- Contribute to technical product roadmaps and generate intellectual property protecting ASML products.
- Working as a team with similar-minded people, benefitting from each other’s specific competences.

Machine Learning and Optimization Design Engineer Job Requirements

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

Experience & Personal skills
- Excellence in numerically stable modeling, optimization algorithms, and code development
- Experience in machine-learning techniques, in developing local and global optimization algorithms, and in applying them to physical problems
- Strong expertise in design for manufacturability, stochastic programming and robust optimization
- Ability to explain complex physical models and algorithms in a crisp way, without omitting the essentials
- Sound understanding of the fundamentals such as linear algebra, probability theory, (non-)parametric Bayesian and (deep) learning methods
- Drive creative solutions -within the bigger picture- with the product and customer in mind
- Decisive and self-initiating in an ambiguous environment
- Ability to influence without power
- Team worker
- Pragmatic approach and pro-active attitude, with result focus and a ‘can do’ spirit

Context of the position
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.

Machine Learning and Optimization Design Engineer Application Information

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Machine Learning and Optimization Design Engineer Summary

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