Software Design Engineer Intern for Physical Design (m/f/d)

Intel is seeking a passionate AI/ML Intern for the Silicon Engineering Group to work on cutting-edge research and development at the intersection of Electronic Design Automation (EDA) and Artificial Intelligence/Machine Learning (AI/ML). The role involves researching and prototyping AI-driven solutions for EDA challenges, applying advanced AI techniques to develop autonomous solutions for silicon design, and collaborating with global teams to integrate AI/ML models into production workflows to improve Power, Performance, and Thermal for next-generation Intel products.

Must Have

• Currently pursuing a Master's degree OR PhD in Electrical Engineering, Computer Engineering, Computer Science or any related field
• Solid understanding of AI/ML fundamentals and algorithms
• Strong programming skills in Python (preferred), with familiarity in Unix/Linux
• Good understanding of software engineering principles (data structures, object-oriented design)
• Excellent communication skills and fluency in English

Good to Have

• Knowledge of ASIC design flows, Physical Design, and Design Automation
• Practical experience applying Machine Learning in EDA or related domains
• Familiarity with Agentic AI concepts and ability to design autonomous flows
• Strong foundation in VLSI Design
• Good code development practices and ability to write clean, maintainable code

Perks & Benefits

• Hybrid work model

Job Description:

Do Something Wonderful. Intel put the Silicon in Silicon Valley. Every day, we create world-changing technology that enriches the lives of every person on earth. If you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow. The Silicon Engineering Group (SIG) is seeking a passionate AI/ML Intern to help shape the future of semiconductor design. In this role, you will work on cutting-edge research and development at the intersection of Electronic Design Automation (EDA) and Artificial Intelligence/Machine Learning (AI/ML). Your contributions will enable smarter design flows, accelerate automation, and improve Power, Performance, and Thermal for next-generation products. What You'll Do

• Research and prototype AI-driven solutions for EDA challenges.
• Apply advanced AI techniques, including creating agentic AI flows, to develop autonomous and intelligent solutions for complex silicon design challenges.
• Collaborate with global teams to integrate AI/ML models into production workflows.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications:

• Currently pursuing a Master's degree OR PhD in Electrical Engineering, Computer Engineering, Computer Science or any related field.
• Solid understanding of AI/ML fundamentals and algorithms.
• Strong programming skills in Python (preferred), with familiarity in Unix/Linux.
• Good understanding of software engineering principles (data structures, object-oriented design).
• Excellent communication skills and fluency in English. Preferred Qualifications:
• Knowledge of ASIC design flows, Physical Design, and Design Automation.
• Practical experience applying Machine Learning in EDA or related domains.
• Familiarity with Agentic AI concepts and ability to design autonomous flows.
• Strong foundation in VLSI Design.
• Good code development practices and ability to write clean, maintainable code. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Job Type:

Student / Intern

Shift:

Shift 1 (Germany)

Primary Location:

Germany, Munich

Additional Locations:

Business group:

The Silicon Engineering Group (SIG) is a worldwide organization focused on the development and integration of SOCs, Cores, and critical IPs from architecture to manufacturing readiness that power leadership products. This business group leverages an incomparable mix of experts with different backgrounds, cultures, perspectives, and experiences to unleash the most innovative, amazing, and exciting computing experiences.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned site and off-site. * Job posting details (such as work model, location or time type) are subject to change.