Process Integration & Yield Engineering PhD Intern

The Role and Impact 

As a Process Integration and Yield Engineering PhD Intern, you will contribute to the development and optimization of advanced semiconductor manufacturing technologies. In this role, you will work closely with engineers and researchers to analyze process performance, investigate yield-impacting defects, and develop solutions that improve manufacturing efficiency and product quality. 

This internship offers a unique opportunity to apply your technical expertise in semiconductor processing, materials characterization, and data analytics to real-world manufacturing challenges. You will gain hands-on experience in a high-volume production environment while contributing to the development of next-generation semiconductor technologies. 

Business Group 

Intel Foundry is at the forefront of semiconductor manufacturing, driving innovation through advanced process technologies and world-class engineering excellence. Our teams develop and optimize manufacturing solutions that enable industry-leading products while maintaining the highest standards of quality, reliability, and operational efficiency. 

Key Responsibilities 

• Analyze yield, defect, and process data to identify trends, root causes, and improvement opportunities. 

• Support process integration activities across multiple semiconductor fabrication operations. 

• Design and execute experiments to evaluate process performance and optimize manufacturing outcomes. 

• Partner with cross-functional engineering teams to troubleshoot technical issues and implement corrective actions. 

• Utilize microscopy and characterization techniques to investigate defects and process-related challenges. 

• Apply statistical analysis and data-driven methodologies to enhance process capability and manufacturing efficiency. 

• Contribute to yield improvement initiatives through risk assessments, problem-solving, and innovative engineering solutions. 

• Develop technical reports and present findings to engineering stakeholders. 

• Participate in continuous improvement projects focused on advancing manufacturing quality, productivity, and reliability. 

Minimum Qualifications 

• Currently pursuing a PhD in Materials Science, Electrical Engineering, Chemical Engineering, Chemistry, Mechanical Engineering, Physics, Computer Science or a related technical field. 

• Strong academic performance with a cumulative GPA of 3.0 or higher required 
• 3+ months of educational, research, laboratory, internship, or industry experience

Preferred Qualifications 

• Hands-on experience with semiconductor fabrication, process integration, or yield engineering. 

• Proficiency with data analysis and visualization tools such as JMP, Python, MATLAB, or equivalent. 

• Knowledge of Statistical Process Control (SPC), Design of Experiments (DOE), or machine learning techniques. 

• Knowledge of semiconductor device physics and manufacturing fundamentals. 

• Experience with microscopy or materials characterization techniques. 

• Experience working in cleanroom, laboratory, or advanced manufacturing environments. 

• Strong communication skills and ability to collaborate effectively across multidisciplinary teams. 

• Strong analytical, problem-solving, and data interpretation skills. 

Join Intel and help drive the future of semiconductor manufacturing through data-driven innovation, process optimization, and engineering excellence. 

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