AI/ML Intern - Embedded Systems

Renesas Electronics•San Jose, CA

1d•$31 - $42•Hybrid

About The Position

Summer 2026 Internship - June 22 - August 14. Must be currently enrolled full time in a university degree program pursing a master degree. Must not have graduated before September 2026. Hybrid - San Jose, CA. We are looking for a motivated and curious intern to join our team and contribute to the development of machine learning models across a variety of use cases. During this internship, you will be hands-on 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.