Internship- Imaging product engineer

Roles and Responsibilities

• As a Imaging Engineering Intern, you will support imaging product engineering activities focused on computational lithography and advanced scanner technologies. You will collaborate with cross-functional teams to investigate new concepts, develop software capabilities, and generate data-driven insights that support future product innovation.
• Conduct feasibility studies related to advanced DUV and EUV imaging technologies.
• Support computational lithography investigations through modeling, simulation, and data analysis.
• Perform prototype testing and generate technical data to evaluate imaging concepts and software features.
• Develop and enhance software functionality that meets customer requirements and product specifications.
• Create and maintain technical documentation, including user guides and engineering reports.
• Analyze simulation results and communicate findings to engineering teams.
• Collaborate with software engineers, imaging specialists, and product teams to support ongoing development efforts.

Education and Experience

• Currently pursuing a bachelor's degree or master's degree in Computer Science, Electrical Engineering, Physics, Applied Mathematics, Optical Engineering, or a related technical field.
• Junior, senior, or graduate-level student.
• Experience through coursework, research, academic projects, or internships related to imaging, lithography, simulation, software development, or data analysis.
• Familiarity with technical computing tools such as Python, MATLAB, or similar programming environments.
• Exposure to machine learning, optimization methods, scientific computing, or data analytics is preferred.
• Inclusion and diversity
• 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 inclusion and diversity is a driving force in the success of our company.
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Inclusion and diversity

Preferred Qualifications

• Exposure to machine learning, optimization methods, scientific computing, or data analytics is preferred.