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ASML US, LLC is seeking an Algorithms and Physical Modeling Engineer to drive technology activities related to machine learning and physical modeling for defect inspection in semiconductor manufacturing. The role requires collaboration with engineering teams and a strong background in algorithms, physics, and programming languages such as C/C++ and Python.
The Algorithms and Physical Modeling Engineer is responsible for technology activities related to algorithms utilizing machine learning, stochastic, and physical modeling methods for electrical and physical defect inspection and metrology with e-beam systems. This position works closely with HW & SW engineering teams as well as Application teams.
Master's or PhD in Information Technology, Software, Physics, Mathematics, or related technical fields.
Minimum 5 years of relevant experience in IC manufacturing, semiconductor process technology, inspection, or metrology is preferred. Candidates should be quick learners, self-motivated, capable of working independently, and thrive under pressure.
Strong communication skills to articulate complex problems and solutions effectively to customers and management.
Team-oriented: collaborative, open to challenging ideas, and supportive of colleagues.
The current base annual salary range is $157,875 - $263,125, determined by role, level, location, and market data. Compensation is assessed individually based on skills, experience, education, and other factors.
Benefits include medical, dental, vision, life insurance, 401k plan, paid leave, and holidays. For more details, contact the Recruiter or visit our Benefits page.
ASML is committed to equal opportunity employment, valuing diversity and inclusion across all job roles without discrimination based on race, gender, age, or other protected characteristics.
ASML provides reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact USHR_Accommodation@asml.com. This email is solely for accommodation requests; recruitment inquiries should be directed to the designated Talent Acquisition contact.