Spring Intern - Software Engineer (AI/ML) en Cirrus
Cirrus · Austin, Estados Unidos De América · Hybrid
- Oficina en Austin
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!
In this internship, you will contribute to a focused team delivering web applications and point solutions. You’ll collaborate with cross-functional teams to support the development of scalable and reliable software tools, while gaining exposure to verification workflows and AI-enhanced methodologies.
As an intern, you’ll collaborate with experienced engineers to solve real-world challenges, contribute to product development, and gain hands-on experience in a fast-paced, supportive environment. This internship will take place during the Spring 2026 semester over the course of a 12-16 week long internship working a full-time schedule.
Responsibilities
Required Skills and Qualifications
Preferred Skills and Qualifications
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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