Summer 2026 Internship: Initial AI Application for Physics-Based LLMs in Atomistic Simulation Analysis
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:
Internship 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.
Qualifications - External
Requirements:
To 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 PhD program in Electrical Engineering, Computer Engineering, or Chemical Engineering at the time of the internship.
Qualifications - External
Requirements:
To 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 PhD program in Electrical Engineering, Computer Engineering, or Chemical Engineering at the time of the internship.
Execute a pre-study physics/mathematics enabled AI platforms for data analysis for atomistic simulations
Create training and a white paper on use of physics/mathematics enabled AI platforms and tradeoffs
Atomistic simulations for NVM candidate devices -Electrical Characterization of devices
Layout work for next generation devices.
Execute a pre-study physics/mathematics enabled AI platforms for data analysis for atomistic simulations
Create training and a white paper on use of physics/mathematics enabled AI platforms and tradeoffs
Atomistic simulations for NVM candidate devices -Electrical Characterization of devices
Layout work for next generation devices.