Summer 2027 - Device Characterization Intern

onsemi•San Jose, CA
•Onsite

About The Position

onsemi is seeking a graduate-level Device Characterization Intern in San Jose to support next-generation semiconductor technology development. The intern will perform hands-on wafer-level measurements, automate test and reporting workflows, analyze characterization data, and work with devices across image sensor, ASIC, high-voltage, analog mixed-signal, and low-voltage integrated circuit technologies. This internship is intended for a student seeking to combine hands-on wafer-level characterization, test automation, and data-driven analysis. The intern will work with engineering teams in San Jose to characterize devices, automate measurement and reporting workflows, and contribute to AI-enabled approaches for improving characterization efficiency. onsemi's internship program provides real-world projects, hands-on industry experience, and opportunities to develop technical and professional skills in a collaborative environment. The company describes internships as a pipeline to entry-level careers and offers networking events, professional development workshops, project showcases, and flexible hours based on academic schedules. To be considered, candidates must be currently enrolled in a degree-seeking program. This position seeks a student enrolled in a bachelor's degree program in Electrical Engineering, Computer Engineering, Applied Physics, or Systems Engineering in the US. The stated base pay is $33.35 per hour; final pay depends on factors including location, skills, education, experience, and internal equity.

Requirements

  • Currently enrolled in a degree-seeking program; the posting specifies enrollment in a bachelor's degree program in Electrical Engineering, Computer Engineering, Applied Physics, or Systems Engineering in the US.
  • Understand semiconductor device physics and circuit operation.
  • Have experience taking measurements with laboratory equipment such as IV meters, power supplies, and oscilloscopes.
  • Have experience with Python, Visual Basic, C, or LabVIEW.
  • Be a quick learner who can work efficiently independently and as part of a team.
  • Have excellent verbal and written communication skills.

Nice To Haves

  • Experience with semiconductor characterization equipment such as semiconductor parametric analyzers, capacitance meters, and source measurement units.
  • Familiarity with programming test instruments using GPIB.
  • Experience with machine learning, AI, and developer-assistance tools such as GitHub Copilot.
  • Experience using AI frameworks or similar tools to develop practical engineering solutions.

Responsibilities

  • Carry out wafer-level measurements on test structures using semiconductor parameter analyzers, capacitance meters, and source measurement units.
  • Perform flicker-noise measurements using noise characterization instruments.
  • Test electrostatic-discharge devices using transmission-line-pulse testers.
  • Generate test reports and summaries.
  • Automate test-report generation, summary creation, and recurring characterization-data workflows.
  • Participate in AI-related initiatives to improve device-characterization workflows, data analysis, or test automation.
  • Analyze characterization data and work with devices across image sensor, ASIC, high-voltage, analog mixed-signal, and low-voltage integrated-circuit technologies.

Benefits

  • Competitive compensation and medical benefits.
  • Flexible work hours aligned with academic schedules.
  • Access to Employee Resource Groups (ERGs), with opportunities for mentorship and community engagement.
  • Networking events, professional development workshops, and project showcases.
  • Competitive pay, medical benefits, and networking opportunities.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service