TCAD‑Enabled Digital Twins for IC Reliability and Manufacturing Internship

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

Siemens Foundational Technology (FT) is the central R&D organization of Siemens, shaping the future of industrial technologies through advanced algorithms, optimization, and AI. Our mission is to accelerate innovation across Siemens’ industry, infrastructure, mobility, and energy businesses by translating cutting-edge computational methods into practical, scalable industrial solutions.

Your main deliverables will be:

• Physics‑based TCAD‑to‑compact/reliability modeling example.
• Technical report documenting reliability or manufacturing-driven insights.
• Final presentation with recommendations for IC reliability and manufacturing digital twins.

This is an onsite, full-time internship located in Princeton, NJ for at least 6 months. Hybrid work may be possible depending on project needs.

Role Summary

Digital twins are increasingly used in semiconductor development to predict device behavior, reliability, and manufacturing variability. However, many existing approaches rely on compact or empirical models that lack direct connection to underlying device physics.
This internship explores how TCAD‑based, physics‑informed digital twins can be used to improve IC reliability analysis and manufacturing‑relevant predictions, enabling better insight into aging mechanisms, process variation, and operating‑condition sensitivity.

You will be mentored by experienced researchers and collaborate in an interdisciplinary environment spanning applied mathematics, optimization, simulation, and industrial application domains.

Key Responsibilities

• Simulate a representative IC‑relevant semiconductor device using open-source physics‑based TCAD methods.
• Analyze process‑ and geometry‑dependent variability (e.g., doping, dimensions, defects).
• Extract bias‑, temperature‑, and time‑dependent behavior relevant to reliability.
• Study aging and degradation mechanisms (e.g., self‑heating, variability trends).
• Integrate TCAD‑derived behavior into compact or reduced‑order models suitable for IC‑level analysis.
• Compare physics‑informed results with conventional reliability or compact‑model approaches.
• Identify scenarios where manufacturing variations or reliability physics significantly impact IC performance.
• Propose modeling improvements for Siemens digital‑twin platforms targeting IC design and manufacturing.

Required Education and Experience

• Currently enrolled in a PhD program in Electrical, Applied Physics, Computer Science, or similar with an accredited university.
• Background in semiconductor devices, microelectronics, or electrical engineering
• Experience with simulation tools (TCAD, device modeling, or numerical methods)
• Programming or modeling experience (e.g., Python, MATLAB, Verilog‑A, or similar).
• Must be located in the U.S. and legally authorized to work in the U.S. for the duration of the internship.
• Proficient in English both written and verbal

Preferred Skills

• Ability to learn new mathematical, algorithmic, and software concepts quickly.
• Strong analytical and problem-solving skills.
• Ability to work effectively in an interdisciplinary research environment.
• Strong communication skills (written and verbal).
• Ability to work independently, take initiative, and manage time effectively.

Work Setting

This internship requires the candidate to be physically present in the United States and able to report onsite in Princeton, NJ as project requires.

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

#LI-JS

#LI-Remote