Physical Design Engineering Student

The Role and Impact
We are seeking a highly motivated Physical Design Engineering Student to join our team. In this role, you will contribute to the physical implementation of advanced silicon designs, gaining practical experience with cutting-edge tools and methodologies that play a crucial role in Intel's processor technologies.

From synthesis and place-and-route to timing analysis and verification, your day-to-day work will drive design convergence, optimization, and manufacturability, ensuring Intel's silicon designs meet the highest performance standards.

Business group
As part of Intel's Data Center Group, you will join a dynamic team dedicated to creating high-performance silicon designs that power an array of devices from entry-level PCs to high-end servers. The group collaborates across design, validation, and automation functions, with a mission to lead innovation in silicon development while supporting Intel's broader goals for technological advancement and market leadership.

Key Responsibilities

• Assist with physical design activities, including synthesis, place-and-route, timing analysis, and clocking.
• Contribute to verification and signoff processes to ensure manufacturability and compliance with performance standards.
• Collaborate with cross-functional teams to address technical challenges and propose practical solutions.
• Participate in the development and improvement of physical design methodologies and automation flows.
• Support documentation, training materials, and knowledge-sharing initiatives to foster team growth.

• Pursuing a B.Sc. or M.Sc. degree in Electrical Engineering, Computer Engineering, or a related field, with at least 1.5 years remaining until graduation.
• Basic understanding of digital design principles, VLSI fundamentals, and semiconductor basics.
• Proficiency in English for effective communication and documentation.
• Demonstrated skills in silicon design and optimization gained through coursework, academic projects, internships, or hands-on training.
  
  Preferred Qualifications:
• Familiarity with EDA tools such as Cadence, Synopsys, or similar platforms.
• Exposure to scripting languages like Python or TCL for automation.
• Strong problem-solving skills with the ability to adapt to technical challenges.
• Interest in physical design, timing analysis, and verification methodologies.
  

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