Applied AI Engineering Internship

Cirrus Logic

. Learn a chip-development workflow from a mentor and R&D partners .

Posted 11/9/2026internshipAustin • Texas • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in programming and scripting, particularly with Python and shell, while applying AI/ML concepts to engineering tasks. Collaborates effectively with cross-disciplinary teams and communicates findings clearly, contributing to chip development workflows.

Highest-signal resume keywords

Programming ExperienceAI/ML ResearchLinux FamiliarityCloud Platforms ExposureEDA/CAD Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonShell ScriptingAI/MLCloud ComputingDevOpsSoftware Development PracticesVersion ControlTestingDocumentationPrototype Evaluation

Soft Skills

Clear CommunicationWillingness to LearnCross-Disciplinary Collaboration

Tools & Technologies

LinuxEDA ToolsCAD ToolsCloud PlatformsContainersCI/CDInfrastructure Automation

Industry Keywords

Chip DevelopmentSemiconductorHardware DevelopmentEngineering WorkflowsTechnical Data Access

Tech Stack

Tools & technologies

CloudLinuxPython

About the role

Key responsibilities & impact

Learn a chip-development workflow from a mentor and R&D partners
Identify opportunities to apply AI to engineering tasks
Build or evaluate a focused AI, scripting, or cloud-native prototype
Use Linux and core software development practices
Explore integration with EDA/CAD or engineering tools
Refine work with cross-disciplinary team feedback
Document and present findings and recommendations
Collaborate with engineers to understand selected design and development workflows
Investigate where AI may be useful in chip development
Receive guidance from experienced engineers

Requirements

What you’ll need

Enrolled in a bachelor's, master’s, or PhD program in computer science, computer engineering, electrical engineering, or related field
Programming or scripting experience, such as Python or shell
Familiarity with Linux, version control, testing, or documentation
Coursework or project experience in AI/ML, cloud, DevOps, or software systems
Interest in hardware development and cross-disciplinary collaboration
Clear communication and willingness to learn from feedback
Must be based within commutable distance of the work location or willing to relocate before the internship
Must be able to access technical data without a requirement for an export license
This role does not offer visa sponsorship
Preferred: AI/ML research or projects, especially engineering workflows
Preferred: Exposure to cloud platforms, containers, CI/CD, or infrastructure automation
Preferred: EDA/CAD, semiconductor, chip design, or hardware experience
Preferred: Prototype evaluation, including output quality and limitations
Preferred: Relevant portfolio, research, publication, or class project

Benefits

Comp & perks

Cirrus Logic award-winning culture built on inclusion and fairness, meaningful community engagement, and enjoyable employee experiences
Guidance from experienced engineers
Internship opportunity to grow your career
Hybrid/in-office work arrangement
Relocation prior to internship permitted if needed