Module Engineering PhD Intern - Wet Etch

Job Title

Module Engineering PhD Intern - Wet Etch

Role Summary

Support development, optimization, and sustainment of wet-etch process modules in high-volume semiconductor manufacturing. Work on-site with cross-functional engineering teams to improve process capability, yield, quality, and equipment performance.

Hands-on role involving process and equipment troubleshooting, data-driven analysis, and presenting technical findings to engineering stakeholders.

Experience Level

Entry-level internship for current PhD candidates (student / intern role).

Responsibilities

Typical responsibilities include experimental, analytical, and equipment-focused tasks to improve manufacturing performance.

• Support development, implementation, optimization, and sustainment of module-level semiconductor processes.
• Troubleshoot, maintain, and qualify manufacturing equipment to ensure stability and reliability.
• Analyze process and equipment data to identify improvement opportunities and implement corrective actions.
• Collaborate with cross-functional teams to enhance process control, yield, quality, and operational efficiency.
• Investigate and resolve process- and equipment-related issues affecting production.
• Apply scientific and engineering principles to solve technical challenges in a high-volume environment.
• Execute hands-on projects aligned with business objectives and present results to stakeholders.

Requirements

Must-have technical skills and relevant experience for immediate contribution (education requirements are listed separately below).

• Demonstrated knowledge of semiconductor manufacturing, materials processing, or device fabrication through research, coursework, lab work, or industry experience.
• Experience applying scientific and engineering methodologies to solve technical problems.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to perform hands-on work and collaborate on-site with engineering teams.

Nice-to-have:

• Cumulative GPA ≥ 3.0.
• Prior educational, research, laboratory, internship, or industry experience (3+ months preferred).
• Experience with data analysis, statistics, modeling, simulation, automation, or visualization tools (Python, MATLAB, SQL, JMP, R, or equivalent).
• Experience leveraging AI/LLMs in research or engineering workflows.
• Research, projects, publications, or internships related to semiconductor technology, process development, materials science, or device physics.
• Strong written and verbal communication and ability to work in a team while managing multiple priorities.

Education Requirements

Currently pursuing a PhD in Chemistry, Physics, Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or a related scientific or engineering discipline.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.