Memory Quality & Reliability PhD Intern: Data Analytics & Modeling

Intel; Folsom (CA); Hybrid; USD 121,000 - 122,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Job summary

New Grad is seeking an intern for the TD Memory Quality and Reliability team to help analyze silicon data from SRAM, RF, and Fuse memories and develop predictive models. You will work with engineers across Design, Device Engineering, and PDE to assess technology readiness for future Intel Foundry nodes.

The role offers hands-on experience in memory characterization, data analytics, and statistical modeling, with a hybrid work setup in California.

Qualifications

• Pursuing a Ph.D. in Electrical Engineering or a related field.
• Basic knowledge of semiconductor devices, microelectronics, or IC design.
• Programming or scripting experience using Python or similar languages.
• Experience analyzing technical, scientific, or research data through academic projects, research activities, or internships.
• Strong academic performance with a cumulative GPA of 3.0 or higher.

Responsibilities

• Analyze silicon characterization data from SRAM, RF, and Fuse memory test structures to identify performance trends, variability, and risks.
• Support memory characterization activities across voltage, temperature, and process conditions.
• Perform data analysis, visualization, and reporting using Python, JMP, or similar analytical tools.
• Develop and enhance statistical models for Vmin/Vmax prediction and technology readiness assessments.
• Support Silicon-to-Simulation (Sil2Sim) correlation studies and memory characterization methodologies.
• Generate technical reports and contribute to technology certification reviews.
• Collaborate with cross-functional teams including Design, Device Engineering, Process Integration, PDE, and Yield Engineering.
• Assist with risk assessment activities and technology certification milestones.
• Present data-driven findings and recommendations to engineering teams and project stakeholders.

Skills

Data analysis

Statistical modeling

Python scripting

Education

Ph.D. in Electrical Engineering

Tools

Python

JMP

Pandas

NumPy

Job description

New Grad is seeking an intern for the TD Memory Quality and Reliability team to help analyze silicon data from SRAM, RF, and Fuse memories and develop predictive models. You will work with engineers across Design, Device Engineering, and PDE to assess technology readiness for future Intel Foundry nodes.

The role offers hands-on experience in memory characterization, data analytics, and statistical modeling, with a hybrid work setup in California.