21 hours ago
Veldhoven, NetherlandsMid Level
Responsibilities
- Develop physical models, statistically correct parameter-inference methods, deep learning algorithms, optimization algorithms, and system calibrations for semiconductor scanner and optical metrology solutions.
- Implement machine learning and deep learning models and metrology applications using scalable, data-intensive, and distributed software architectures.
- Design and realize functional proof-of-concept subsystems within system, cost, and project-planning constraints.
- Review technical analyses, structure team contributions, and communicate physical principles, mathematical solutions, and design decisions to stakeholders.
- Contribute to technical product roadmaps, intellectual property, and the development of semiconductor metrology solutions.
Requirements
- Ph.D. or MSc. in Physics, Applied Mathematics, Computer Science, or Electrical Engineering.
- Strong capability in numerically stable modeling, inference strategies, numerical mathematics, and physical-mathematical reasoning.
- Affinity with machine learning, deep learning, data-intensive and distributed software architectures, and cloud environments.
- Fluency in Python, C++, MATLAB, or Julia, with awareness of software compatibility.
- Sound understanding of optics, linear algebra, probability theory, robust optimization, and deep learning methods.
- Ability to explain physical and algorithmic concepts clearly, work collaboratively, and drive practical solutions in an ambiguous environment.
Categories
About ASML
ASML designs and builds extreme ultraviolet (EUV) and deep ultraviolet (DUV) photolithography machines, along with control software and lifecycle services, used by chipmakers to mass-produce microchips. Its revenue comes primarily from system sales and installed-base service contracts. Founded in 1984 and headquartered in Veldhoven, Netherlands, ASML supplies major semiconductor manufacturers, including TSMC, Samsung, and Intel.