AI/ML Intern - Embedded Systems

Renesas Electronics•San Jose, CA

13h•Hybrid

About The Position

This is a Summer 2026 Internship position, running from June 22 to August 14. The intern must be currently enrolled full-time in a university degree program pursuing a master's degree and must not have graduated before September 2026. The role is hybrid and located in San Jose, CA. The intern will join the team to contribute to the development of machine learning models across a variety of use cases. This role involves hands-on experience in building, training, and evaluating AI models, while gaining practical experience with industry tools and embedded platforms.

Requirements

Currently enrolled in an undergraduate program in Machine Learning, Artificial Intelligence, or a related field, with an interest in embedded systems.
Must not have graduated before September 2026.
Hands-on experience with Renesas microcontrollers, particularly the RA6 and RA8 series.
Self-motivated, curious, and eager to explore diverse real-world use cases.
Ability to work within the European time zone.
Good knowledge in C/C++ for embedded system development.
Scripting experience with Python for model development and data processing.
Familiarity with Bash scripting for automation and toolchain workflows.
Ability to clearly document work progress, findings, and results.
Comfortable communicating updates to the team in a structured and concise manner.

Nice To Haves

Knowledge of signal processing and feature extraction techniques.
Experience building graphical user interfaces (GUIs).

Responsibilities

Build and train AI/ML models using specific datasets tailored to targeted use cases.
Use Reality AI Tools to design, train, and evaluate model accuracy and performance.
Collaborate with the team to explore and validate models for embedded system applications.
Assess model performance and propose improvements based on evaluation results.