Hands-on Semiconductor Module Engineering PhD Intern

Intel Corporation; Hillsboro, Northern (OR, KY); Hybrid; USD 121.000 - 122.000; Vollzeit

Benefits dieser Stelle

Health benefits

On-site work

Mentorship

Zusammenfassung

Intel Corporation in Hillsboro, Oregon, seeks a Module Engineering PhD Intern focused on wet etch processes. You will contribute to development, optimization, and sustainment of module-level semiconductor manufacturing, working with experienced engineers to tackle challenging technical problems.

The role emphasizes hands-on process improvements, data-driven optimization, and collaboration across disciplines to enhance yield, quality, and efficiency in a high-volume manufacturing environment.

Qualifikationen

• Pursuing a PhD in a related scientific/engineering field.
• Strong analytical and problem-solving abilities demonstrated in research.
• Experience applying scientific methods to engineering challenges.

Aufgaben

• Support development, implementation, optimization, and sustainment of semiconductor processes within a module area.
• Troubleshoot, maintain, and qualify manufacturing equipment to ensure stability and performance.
• Analyze process and equipment data to identify improvement opportunities and drive corrective actions.
• Collaborate with cross-functional teams to improve process control, yield, and quality.
• Present technical findings and project outcomes to engineering stakeholders.

Kenntnisse

Analytical thinking

Troubleshooting

Team collaboration

Ausbildung

PhD in Chemistry

PhD in Physics

PhD in Materials Science

PhD in Chemical Engineering

PhD in Electrical Engineering

PhD in Mechanical Engineering

Tools

Python

MATLAB

SQL

JMP

R

Jobbeschreibung

Intel Corporation in Hillsboro, Oregon, seeks a Module Engineering PhD Intern focused on wet etch processes. You will contribute to development, optimization, and sustainment of module-level semiconductor manufacturing, working with experienced engineers to tackle challenging technical problems.

The role emphasizes hands-on process improvements, data-driven optimization, and collaboration across disciplines to enhance yield, quality, and efficiency in a high-volume manufacturing environment.