For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn’t do it without our extraordinary workforce – and that’s where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!
We're looking for a Validation AI Software Engineering Intern who's excited to work at the intersection of artificial intelligence, software engineering, and hardware validation. In this role, you'll help build AI-powered tools and infrastructure that make it possible to validate next-generation silicon chips more efficiently and accurately. You'll get hands-on experience with machine learning model development, AI integration into test automation systems, and data analysis pipelines—contributing to real engineering challenges that leverage AI to enhance the performance and quality of our validation processes.
This internship is a great opportunity if you enjoy applying AI/ML techniques to solve real-world engineering problems, learning how intelligent software connects to hardware validation workflows, and seeing your AI tools directly support silicon validation teams. This internship will take place during the Summer 2026 semester over the course of a 12-14 week long internship working a full-time schedule.
We're looking for a Validation AI Software Engineering Intern who's excited to work at the intersection of artificial intelligence, software engineering, and hardware validation. In this role, you'll help build AI-powered tools and infrastructure that make it possible to validate next-generation silicon chips more efficiently and accurately. You'll get hands-on experience with machine learning model development, AI integration into test automation systems, and data analysis pipelines—contributing to real engineering challenges that leverage AI to enhance the performance and quality of our validation processes.This internship is a great opportunity if you enjoy applying AI/ML techniques to solve real-world engineering problems, learning how intelligent software connects to hardware validation workflows, and seeing your AI tools directly support silicon validation teams. This internship will take place during the Summer 2026 semester over the course of a 12-14 week long internship working a full-time schedule.
What you'll do
Contribute to development of AI software tools and frameworks that support silicon validation in the lab
Train custom machine learning models for specific validation use cases in the area of image identification, predictions, and categorization.
Integrate AI/ML capabilities into existing processes to replace manual efforts and improve efficiency
Build intelligent dashboards and analytics tools to help teams analyze large sets of validation data
Work with engineers to automate complex validation tasks using machine learning techniques
Write clean, maintainable code and contribute to shared AI infrastructure
Learn how hardware validation labs operate and how AI accelerates the validation process
What we're looking for
Currently pursuing a BS or MS in Computer Science, Electrical/Computer Engineering, Data Science, or related field
Solid programming skills in Python, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)
Familiarity with machine learning concepts including supervised/unsupervised learning, neural networks, and model evaluation
Experience with data manipulation and analysis tools (pandas, numpy, matplotlib)
Knowledge of version control tools (Git) and software development best practices
Some experience with data visualization, statistical analysis, or database systems
Enthusiasm for applying AI/ML to hardware/software systems and curiosity about silicon validation
Strong analytical and problem-solving skills with eagerness to learn new AI technologies
What you'll gain
Hands-on experience building real AI infrastructure that supports silicon validation workflows
Exposure to both machine learning engineering best practices and hardware validation environments
Experience training and deploying ML models for production engineering applications
Understanding of how AI can transform traditional validation processes and improve efficiency
Mentorship from experienced engineers working at the cutting edge of AI-powered chip design and validation
The chance to see your AI tools directly impact product development and validation outcomes
Cirrus Logic follows a 2+ day in-office work schedule but interns should expect to be in the office more often, up to 5 days per week, based on business needs and team preference. Interns must be based within commutable distance of the work location listed on the job posting, or willing to relocate prior to beginning their internship with Cirrus Logic.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.
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