Strategic Student Program: Calibre LEAP Intern (Summer 2025)

practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

• Baseline Requirements:

• • Currently enrolled as a university student (undergraduate or graduate)

• • Minimum 3.0 GPA

• • Authorized to work in the United States without the need for current or future sponsorship by the company

• • Preferred Graduation: 2026-2027

• • Work Location: Hybrid in our Fremont, CA; Wilsonville, OR

• Perks:

• • Paid volunteer time off

• • Employee discounts at our top customer sites

• • Networking with our global leaders

• • Mentorship from senior engineers

• • Individual career development planning

• • Professional and technical workshops

• • Energetic student community

• • Leadership opportunities

• • Potential for full time offers after university graduation and completion of the program

• Job Title: Calibre LEAP Intern

• Division: Integrated Circuit Solutions

• We are looking for a highly motivated recent college student, based in the U.S., to join our R&D software engineering team within the Calibre engineering group of the Design to Silicon business unit. As a member of the LEAP (Learning through Exploration and Active Participation) team, you will work on pioneering models and algorithms for simulating projection lithography, a critical process in semiconductor manufacturing. In this role, you will collaborate with a team of talented researchers and engineers to develop innovative machine learning solutions and enhance the accuracy and performance of existing models.

• Responsibilities:

• • Collaborate in the development and enhancement of advanced lithography algorithms and machine learning models.

• • Develop training and data generation pipelines for machine learning applications.

• • Develop tests and routines to evaluate model accuracy and quality.

• • Present detailed technical proposals and participating in discussions with peers.

• • Document new software features through comprehensive functional specifications.

• Required Skills:

• • BS in Computer Science, Computer Engineering, Electrical Engineering or related field.

• • Programming skills Python and/or C++

• • Basic knowledge of algorithm and data structure design.

• • Excel both in a team-oriented development and working independently.

• Preferred Skills:

• • Strong programming skills in Python or C++

• • Strong knowledge in deep learning approaches such as convolutional neural networks (CNNs)

• • Basic knowledge in signal processing

• • Software engineering skills using Unix/Linux operating systems.

• This role offers hands-on experience in our leading-edge software environment, perfect for students keen on applying their technical knowledge in a dynamic, real-world setting.

• #LI-EDA #SSP #LI-Hybrid

• The hourly range for this position is $18.00 to $50.00 for technical roles or $18.00 to $44.00 for non-technical positions. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave and paid volunteer time off.

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.