Full Stack Software Developer

Cirrus LogicAustin, TX

About The Position

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! The MET team builds scalable, reliable, and high-impact software solutions that power verification workflows across Cirrus Logic. In this role, you will deliver robust web applications, automation tools, and engineering productivity solutions. Alongside core full-stack development responsibilities, you will also explore and apply AI/ML techniques to modernize legacy workflows, introduce intelligent automation, and enhance engineering efficiency.

Requirements

  • Master’s degree in Computer Science, Computer Engineering, or related field
  • Proficiency in Python, HTML, CSS, JavaScript, REST APIs, and backend development.
  • Experience with Python/Django, React/Redux, and PostgreSQL.
  • Exposure to LLMs, Python ML libraries and RAG models
  • Familiarity with Git or other version control systems.
  • Basic Linux/UNIX experience.
  • Strong communication and collaboration abilities.
  • Ability to work in an agile, fast-paced engineering environment.
  • Self-motivated, detail-oriented, and comfortable working across cross-functional team

Responsibilities

  • Design, develop, and maintain robust, scalable, and reliable software web applications supporting engineering workflows.
  • Develop, test, and support product features, components in an agile development environment.
  • Contribute to documentation, code quality, and delivery of production-ready software.
  • Follow standard methodologies and best practices as defined by team leadership.
  • Explore and integrate AI/ML techniques to enhance productivity, automation within legacy and new MET tools.
  • Collaborate with cross-functional teams to identify high-impact AI/ML use cases aligned with verification workflows.
  • Contribute to both web-based and command-line tools that incorporate AI-enhanced methodologies.
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