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

Job Details: Job Description: The Role and Impact As an AI/ML Software Engineering Graduate Intern, you will contribute to the design, development, and optimization of cutting-edge AI solutions for semiconductor design and engineering workflows. Working at the intersection of Artificial Intelligence/Machine Learning (AI/ML), Electronic Design Automation (EDA), and software engineering, you will research and prototype intelligent solutions that enable smarter design flows, accelerate automation, and improve engineering efficiency. You will gain hands-on experience developing and tuning ML models, exploring Agentic AI and autonomous workflows, and integrating AI capabilities into scalable engineering and production environments. Business group You will be joining the Central Engineering Group (CEG), a dynamic team that drives Intel's engineering excellence across diverse domains. This organization focuses on creating innovative solutions that support Intel's global business goals, with an emphasis on collaboration, technical expertise, and impactful projects. As part of the team, you'll have the opportunity to contribute to Intel's mission of shaping the future of technology. Key Responsibilities - Research, design, and prototype AI/ML-driven solutions for semiconductor and EDA challenges. - Develop, implement, and optimize AI/ML models for performance, accuracy, and engineering efficiency. - Explore advanced AI techniques, including Agentic AI, to create autonomous and intelligent engineering workflows.

The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery. 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 Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. *