Applied AI Engineering Intern
Cirrus Logic
Applied AI Engineering Intern
Cirrus Logic
Low power audio and mixed-signal ICs
Cirrus Logic is seeking a student intern to explore how AI and cloud-native engineering can support chip development. This is an R&D-facing opportunity for a master’s or PhD candidate with a strong foundation in computer science, software, or cloud engineering and an interest in working with electrical and hardware design teams.
During the internship, you’ll collaborate with engineers to understand selected design and development workflows, investigate where AI may be useful, and build or evaluate a focused prototype. The work may involve Linux-based environments, scripting, cloud-native solutions, and EDA/CAD tools. You’ll receive guidance from experienced engineers and present your approach, findings, and recommendations to the team.
This role does not offer visa sponsorship.
Low power audio and mixed-signal ICs
Cirrus Logic designs low-power, high-precision mixed-signal ICs and software for audio and control, serving mobile, smart home, and wearable markets. Its devices provide audio processing, voice capture, and control features integrated into consumer electronics, focusing on power efficiency. The company differentiates itself by specializing in power-efficient, high-precision audio and mixed-signal technology and by pairing silicon with software, services, and development tools for manufacturers. Its goal is to be a leading supplier of audio and mixed-signal solutions that improve user experiences in mobile, smart home, and wearable devices while maintaining strong governance and ESG commitments.
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