Process Integration and Yield Engineering PhD Intern Repeat

Intel•Hillsboro, OR

6d•Onsite

About The Position

As a Process Integration and Yield Engineering PhD Intern at Intel, you will be at the forefront of semiconductor manufacturing innovation. In this role, you will contribute to the development and optimization of cutting-edge manufacturing processes and technologies that shape integration flows, enhance defect management strategies, and improve process yields in high-volume production environments. Collaborating with cross-functional engineering teams, you will address complex technical challenges, troubleshoot process issues, and drive continuous improvement initiatives. This hands-on internship offers an opportunity to refine your expertise, develop critical technical skills, and contribute meaningfully to Intel's mission of delivering world-class semiconductor products. Intel Foundry plays a pivotal role in advancing Intel's leadership in semiconductor manufacturing. As a member of this team, you will contribute to Intel's efforts to develop innovative technologies that power industry-leading products and enrich lives worldwide. The group focuses on optimizing manufacturing processes and driving continuous improvements to enable efficiency, quality, and scalability in high-volume production environments.

Requirements

Actively pursuing a PhD in Physics, Electrical Engineering, Material Science, or Chemistry.
Proficiency in microscopy techniques.
Background in circuit design and semiconductor device physics.
Basic scripting knowledge in Python or comparable programming languages.
Understanding of scan methodologies and automatic test pattern generation.

Nice To Haves

2nd or 3rd-year PhD candidates with coursework in computer science (basic algorithms), solid-state physics, semiconductor physics, electronics/circuit design, or silicon process technologies.
Familiarity with image analysis software and experience with visual computing systems.
Hands-on experience with semiconductor manufacturing processes, microscopy techniques, or engineering tools.
Proficiency with data analysis platforms such as JMP, Python, or MATLAB.

Responsibilities

Contribute to the development and optimization of module processes and integration flows for semiconductor manufacturing.
Analyze defect data, conduct experiments, and assist in risk assessments to support yield improvement initiatives.
Collaborate with engineering teams to troubleshoot process flow issues and optimize metrology strategies.
Apply data analysis techniques to improve process performance and manufacturing efficiency.
Participate in continuous improvement efforts focused on enhancing production quality and output.
Engage in hands-on projects to explore future career opportunities and support Intel's business goals.