Device Characterization Intern

An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth. onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company's commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities. Key benefits include: - Competitive compensation and medical benefits - Flexible work hours aligned with academic schedules - Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement - Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organizationInternship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi's strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles. onsemi is seeking a graduate-level Device Characterization Intern in San Jose to support next-generation semiconductor technology development. In this role, 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 graduate student who wants 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. ## 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 - Testing ESD (electrostatic discharge) devices using TLP (transmission line pulse) testers - Generating test reports and summaries - Automate test report generation, summary creation, and recurring characterization data workflows - Participate in AI-related initiatives that improve device characterization workflows, data analysis, or test automation ## Qualifications - Understand semiconductor device physics and circuit operation - Have experience doing measurements with lab equipment like IV meters, power supplies, and oscilloscopes - Experience with Python, Visual Basic, C or LabVIEW - Be a quick learner who can work efficiently both independently and as part of a team - Excellent verbal and written communication skills ## Nice-to-have qualifications - Experience with semiconductor characterization equipment like semiconductor parametric analyzers, capacitance meters, and source measurement units - Familiarity with programming test instruments with 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 solutionsTo be considered for an internship, you must be currently enrolled in a degree seeking program. This position is specifically looking for someone who will be enrolled in a Bachelors degree program in Electrical Engineering, Computer Engineering, Applied Physics, or Systems Engineering in the US.