Device Characterization & AI-Driven Test Intern

onsemi; San Jose (CA); On-site; USD 38,000 - 54,000; Full time

Benefits offered by this job

Competitive pay

Medical benefits

Flexible hours

ERGs

Networking events

Career development

Job summary

onsemi in San Jose invites a graduate-level Device Characterization Intern to contribute to next-generation semiconductor technology development. You will perform wafer-level measurements, automate test and reporting workflows, analyze characterization data, and collaborate with teams across image sensor, ASIC, high-voltage, and analog/mixed-signal devices.

This internship targets students pursuing a Bachelors in Electrical or Computer Engineering, Applied Physics, or Systems Engineering in the

Qualifications

• Understand semiconductor device physics and circuit operation.
• Experience with lab measurements using IV meters, power supplies, oscilloscopes.
• Experience programming in Python, LabVIEW, or C/Visual Basic.
• Able to learn quickly and work both independently and as part of a team.
• Excellent verbal and written communication skills.
• Nice-to-have: ML/AI experience and GitHub Copilot or related tools.

Responsibilities

• Carry out wafer-level measurements using parameter analyzers, capacitance meters, and SMUs.
• Perform flicker noise measurements with dedicated instrumentation.
• Test ESD devices using TLP testers.
• Generate test reports and summaries.
• Automate test report generation and recurring data workflows.
• Participate in AI-related initiatives to improve characterization workflows.

Skills

Communication

Teamwork

Quick learner

Attention to detail

Problem solving

Education

Bachelors in Electrical Engineering or related US program

Tools

Python

LabVIEW

GPIB programming

Parametric analyzers

Job description

onsemi in San Jose invites a graduate-level Device Characterization Intern to contribute to next-generation semiconductor technology development. You will perform wafer-level measurements, automate test and reporting workflows, analyze characterization data, and collaborate with teams across image sensor, ASIC, high-voltage, and analog/mixed-signal devices.

This internship targets students pursuing a Bachelors in Electrical or Computer Engineering, Applied Physics, or Systems Engineering in the