RRAM Memory Device Development Intern

GlobalFoundries; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

GlobalFoundries in Singapore is seeking a motivated undergraduate for our internship program focused on semiconductor memory device development, with emphasis on Resistive RAM (RRAM). You will join a team of engineers and gain hands-on experience with characterization, data analysis, and tool training.

Ideal candidates are pursuing a Bachelor's degree in physics, materials science, or electrical engineering, and can commit 16–24 weeks starting January 2027.

Qualifications

• Actively pursuing a Bachelor's degree in Physics, Materials Science, Electrical & Electronics Engineering, Microelectronics, or a related field.

Responsibilities

• Participate in RRAM device characterization and electrical testing to understand memory cell behavior, switching characteristics, and reliability performance.
• Analyze electrical test data from RRAM cells and arrays, including forming, set/reset, resistance window, leakage, cycling, retention, and distribution trends.
• Support development of RRAM test methodologies, data analysis flows, and statistical summaries to help guide design-of-experiment decisions and technology optimization.
• Contribute to failure analysis and root-cause studies by correlating process, device, and electrical data to identify potential improvement actions.
• Assist in evaluating RRAM stack/process options and proposing improvement actions to enhance device performance, reliability, and manufacturability.

Skills

Python

MATLAB

Data analysis

Excel

Education

Bachelor's degree in Physics, Materials Science, Electrical & Electronics Engineering, or Microelectronics

Tools

JMP

Excel

Job description

GlobalFoundries in Singapore is seeking a motivated undergraduate for our internship program focused on semiconductor memory device development, with emphasis on Resistive RAM (RRAM). You will join a team of engineers and gain hands-on experience with characterization, data analysis, and tool training.

Ideal candidates are pursuing a Bachelor's degree in physics, materials science, or electrical engineering, and can commit 16–24 weeks starting January 2027.