Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries 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, our business, and our customers can achieve their full potential. 

We’re currently recruiting co-ops and interns for our Summer Strategic Student Program. Our co-op 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. 

We have positions available in software development, user experience, data management, technical marketing, engineering consulting, and research & design innovation. More information on our specific roles are included in this document. 

Baseline Requirements:

• Currently enrolled as an undergraduate student

• Minimum 3.0 GPA

Perks:

• Employee discounts at our top customer sites

• Networking with our global leaders

• Mentorship from senior employees

• Individual career development planning

• Professional and technical workshops

• Paid volunteer time off

• Energetic student community

• Leadership opportunities

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

 Key Responsibilities:

• Research and evaluate emerging Agentic AI frameworks and methodologies.
• Develop and implement prototypes of AI agents to address specific EDA problems (e.g., design exploration, optimization).
• Assist in integrating AI agent solutions with existing EDA tools and workflows.
• Analyze performance and effectiveness of AI-driven approaches compared to traditional methods.
• Collaborate with experienced engineers and researchers to define project scope and deliverables.
• Document findings, present results, and contribute to internal knowledge sharing.

Qualifications:

• Currently pursuing a Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
• Strong understanding of AI/Machine Learning fundamentals, including neural networks, reinforcement learning, or large language models.
• Familiarity with agent-based systems, multi-agent systems, or autonomous agents is a plus.
• Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, LangChain, LlamaIndex).
• Basic understanding of Electronic Design Automation (EDA) concepts (e.g., VLSI design, circuit simulation, physical design) is a bonus.
• Excellent problem-solving skills and a proactive attitude.
• Strong communication and teamwork abilities.