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Job · Santa Clara, CA · Full time

Process Integration & Yield Engineering PhD Intern

Intel Retiree Medical Plan Trust · $67.5M budget · Since 1996

Why Intel Retiree Medical Plan Trust

FY2024 · Form 990Its mission and biggest programs, as filed

Provides health coverage for retired US employees and their dependents.

  • Provide Medical benefits for eligible retired employees of Intel corporation and their dependents$53.5M spent in FY2024

Before you apply

FY2024 · Form 990Independent: from IRS data, not the org
Budget
$53.5M
spent in FY2024
Fine: from the org's Form 990.
Pt I · Ln 18
Spent on programs
100%
of spending
Looks good: 100% of spending went to programs; 75% or more.
Pt IX · Ln 25 · col B
Surplus or deficit
+21%
of revenue, FY2024
Looks good: revenue was at least expenses in the latest filing.
Pt I · Ln 19
Cash reserves
112 mo
of spending, in cash and securities
Looks good: 111.7 months of spending in cash; 3 or more.
Pt X · Ln 1–2 · Pt I · Ln 18
Latest return
FY2024
latest Form 990
Looks good: the latest return is for FY2024, 2 tax years back; within 2 tax years.
IRS e-file
IRS status
501(c)(9)
tax-exempt since 1998
Looks good: listed by the IRS.
IRS BMF
Looks goodFineWorth a lookConcernTap a box for the reason.

About the role

The org's own posting, as written

Job Details:

Job Description

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.

Qualifications

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…

Read the full posting

About Intel Retiree Medical Plan Trust

From its Form 990

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