Strategic Student Program: Software Engineering Co-Op (EBS, Spring 2025, Full-Time)

Req ID: 436278

Siemens Industry Software Inc.

Strategic Student Program (SSP)

Discover your career with us at Siemens Industry Software!

We are a leading global software company dedicated to the world of computer-aided design, 3D modeling, and simulation— helping innovative global manufacturers design better products faster! With the resources of a large company and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth so our people, business, and customers can achieve their full potential.

We’re currently recruiting students for our Spring 2025 Strategic Student Program. Our intern positions will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into 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 undergraduate or masters student

Minimum 3.0 GPA

Available to commit full-time from January 2025 – May 2025

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

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

Software Engineer Intern

Electronic Board Systems – Office of Technology

Siemens Electrical Design and Automation (EDA) team has an opportunity for a Software Engineer Intern. The Software Engineer Intern will work in our Office of Technology group and provide assistance in research in AI/ML activities. The ideal candidate will have skills in Python, C/C, and a good understanding of AI/ML concepts.

Key Responsibilities:

Collect, clean, and preprocess large datasets for analysis using various tools and programming languages such as Python, R, or SQL.

Assist in developing and implementing machine learning models and algorithms to extract meaningful insights from data.

Create data visualizations and dashboards to communicate findings and insights effectively.

Stay current with the latest advancements and best practices in data science and analytics.

Qualifications:

Currently pursuing a bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.

Strong knowledge of programming languages such as Python, R, or SQL.

Basic understanding of statistical concepts and techniques.

Excellent problem-solving and analytical skills with a keen attention to detail.

Effective communication and collaboration skills, with the ability to work both independently and in a team environment.

Passion for data science and a desire to learn and grow in the field.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We are Siemens

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. Were dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Transform the Everyday | Accelerate Transformation

Why us?

Working at Siemens Software means flexibility – Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as youd expect from a world leader in industrial software

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-EDA #LI-Hybrid #SSP

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.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form (https://www.siemens.com/us/en/company/jobs/search-careers/accommodation-for-disability.html) . If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

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Applicants and employees are protected under Federal law from discrimination. To learn more, Click here (https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) .

Pay Transparency Non-Discrimination Provision

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf) .

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