Process Integration Development Engineer PhD Intern 2027

Intel • Hillsboro, OR

10d • Onsite

About The Position

The Process Integration Development Engineer PhD Intern will work on Intel 14A and explore engineering challenges behind leading-edge Gate-All-Around (GAA) transistor technology. As part of Intel’s Technology Development Foundry Engineering team, the intern will contribute to advanced semiconductor process development at the intersection of process integration, device performance, yield, and product execution. The intern will own a focused technical project with practical engineering impact, supported by experienced technical mentors, and apply PhD research expertise to process, metrology, yield, and electrical data to develop insights that guide engineering decisions.

Depending on research background, interests, and project needs, work may involve analyzing inline process, metrology, electrical, and yield data; applying statistical analysis, modeling, or data science methods; investigating process integration and device-related hypotheses with engineers across disciplines; and developing automated analysis, standard reports, and visualizations. The intern will translate analysis into actionable engineering insights and recommendations, deliver a reusable analysis workflow, reporting tool, or model, and present technical findings to the team.

The internship offers hands-on experience supporting Intel 14A technology development, exposure to interactions among process integration, device performance, yield, and foundry product requirements, experience solving engineering problems with real silicon data, technical mentorship, and ownership of a well-defined project. The role is on-site in Hillsboro, Oregon. Internship starts are available in Spring (preferred) and Summer 2027, and the candidate must be available to start during that timeframe.

Requirements

• Must be actively pursuing a PhD in Electrical Engineering, Physics, Materials Science, Chemistry, or a related scientific or engineering field.
• Must be available to start during Spring or Summer 2027.

Nice To Haves

• PhD research involving advanced semiconductor devices, semiconductor fabrication, or characterization.
• Hands-on experience with semiconductor fabrication, cleanroom processing, or device/material characterization.
• Strong data analytics, statistical analysis, modeling, or automation skills.
• Ability to analyze complex technical data and communicate findings clearly.

Responsibilities

• Analyze inline process, metrology, electrical, and yield data to identify variation, correlations, and opportunities for engineering investigation.
• Apply statistical analysis, modeling, or data science methods to understand relationships among process conditions, physical measurements, device performance, and yield.
• Investigate process integration and device-related hypotheses in collaboration with engineers across technical disciplines.
• Develop automated analysis, standard reports, and visualizations to enable faster assessment of silicon performance and comparison across experiments.
• Translate analysis into actionable engineering insights and recommendations.
• Deliver a reusable analysis workflow, reporting tool, or model and present technical findings to the team.

Benefits

• Competitive pay
• Stock bonuses
• Health benefits
• Retirement benefits
• Vacation
• Relocation assistance may be available based on eligibility, current location, and role specifics.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree