Our Customer Enablement organization defines semiconductor system requirements, develops technical documentation, and supports internal teams and customers in using our devices.
We are seeking an Applied AI/Automation Engineer to design, build, deploy, and support practical AI solutions that improve internal engineering workflows, automate repetitive tasks, and make technical information easier to find and use. This role will apply the latest AI techniques within scalable software solutions, helping move promising ideas from experimentation into reliable, maintainable tools that deliver measurable value. The role will involve designing solutions that are secure, measurable, maintainable, and useful in people’s daily work.
This role will also contribute to the development of documentation and information tools, scripts, and utilities. We eagerly pursue scripting, data modeling, and process automation to operate more efficiently in collaboration with work partner teams.
The ideal candidate combines strong software engineering skills with hands-on experience building AI-enabled applications.
Depending on business priorities, initiatives may include:
- Building LLM-powered assistants and copilots
- Creating AI agents and tool-integrated workflows that connect to enterprise systems
- Automating repetitive engineering and operational tasks
- Applying document intelligence, extraction, classification, and summarization
- Developing internal developer-productivity tools
- Designing evaluation methods, quality metrics, monitoring, and feedback loops
- Improving prompts, workflows, context retrieval, model selection, performance, and cost
- Establishing secure deployment patterns, access controls, and responsible AI practices
Success in this role means delivering AI capabilities that are useful, trusted, adopted, and sustainable in production while helping engineering teams use AI efficiently and effectively.
Key Responsibilities
- Design, develop, and implement new tools, scripts and utilities to help other engineering teams operate more efficiently
- Write clean, well-documented code with a focus on scalability, performance, and maintainability
- Conduct unit and integration testing to ensure code quality and stability
- Identify and prioritize high-value AI use cases aligned with business and engineering needs
- Design, build, test, and deploy AI-enabled skills, agents and workflows
- Integrate AI capabilities with internal data sources, developer tools, documentation platforms, and enterprise systems
- Create evaluation methods to measure output quality, reliability, accuracy, usage, and user value
- Partners with Applied AI and Security to ensureImplement safeguards for security, privacy, access control, and responsible AI usage
- Document how to use the tools, as well as architecture, design decisions, implementation patterns, and operational practices
- Stay current on the evolving AI tool and model landscape and recommend pragmatic adoption strategies
Required Knowledge, Skills and Abilities
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience
- 6+ years of professional software engineering experience, including building and deploying production software
- Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, Java, or C#
- Comfortable working with source control (Git, SVN)
- Hands-on experience designing and building AI-enabled applications using large language model APIs, AI application frameworks, enterprise AI platforms, or similar technologies
- Experience integrating software with APIs, cloud services, enterprise data sources, data pipelines, and knowledge repositories
- Experience with AI evaluation, measurement, monitoring, observability, or feedback practices
- Working knowledge of AI governance, responsible AI, cybersecurity, data privacy, and access-control considerations
- Strong written and verbal communication skills, with experience working directly with internal customers and cross-functional teams
- Strong problem-solving skills, including the ability to define abstract problems, prioritize competing needs, and develop concise, actionable solutions in ambiguous and fast-moving environments
- Prior experience in the semiconductor or high-tech industry
Preferred Knowledge, Skills and Abilities
- Demonstrated ability to move AI prototypes into production, including testing, deployment, monitoring, maintenance, and retirement of solutions that no longer provide value
- Experience designing AI agents, multi-step workflows, tool integrations, human-in-the-loop controls, or agent security patterns
- Experience building reusable AI frameworks, platform components, skills, or developer-enablement resources that help other engineers adopt AI
- Experience optimizing AI systems for quality, latency, reliability, and cost through techniques such as model selection, routing, caching, batching, or context management
- Experience implementing enterprise AI security practices, including service identity, scoped permissions, secrets management, audit-ability, data residency, or protection of confidential intellectual property
- Experience with rigorous AI experimentation and evaluation, including test-set design, sampling, human quality review, inter-rater reliability, or measurement of user and business outcomes
Skills Required
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field, or equivalent practical experience
- 6+ years of professional software engineering experience, including building and deploying production software
- Strong programming skills in one or more of Python, JavaScript, TypeScript, Java, or C#
- Experience with source control, including Git or SVN
- Hands-on experience designing and building AI-enabled applications using LLM APIs, AI application frameworks, enterprise AI platforms, or similar technologies
- Experience integrating software with APIs, cloud services, enterprise data sources, data pipelines, and knowledge repositories
- Experience with AI evaluation, measurement, monitoring, observability, or feedback practices
- Working knowledge of AI governance, responsible AI, cybersecurity, data privacy, and access-control considerations
- Strong written and verbal communication skills, including experience working with internal customers and cross-functional teams
- Strong problem-solving skills in ambiguous and fast-moving environments
- Prior experience in the semiconductor or high-tech industry
- Ability to move AI prototypes into production, including testing, deployment, monitoring, maintenance, and retirement
- Experience designing AI agents, multi-step workflows, tool integrations, human-in-the-loop controls, or agent security patterns
- Experience building reusable AI frameworks, platform components, skills, or developer-enablement resources
- Experience optimizing AI systems for quality, latency, reliability, and cost
- Experience implementing enterprise AI security practices, including service identity, scoped permissions, secrets management, auditability, data residency, or intellectual-property protection
- Experience with rigorous AI experimentation and evaluation, including test-set design, sampling, human quality review, inter-rater reliability, or user and business outcome measurement
- Experience partnering with security, IT, governance, and business stakeholders to establish standards and gain adoption
Cirrus Logic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cirrus Logic and has not been reviewed or approved by Cirrus Logic.
-
Healthcare Strength — Healthcare includes multiple medical, dental and vision options, mental‑health resources, wellness programs, and access to an on‑site clinic in Austin. Feedback suggests these offerings underpin strong total‑rewards sentiment.
-
Parental & Family Support — Programs span paid parental leave, fertility/adoption/surrogacy coverage, backup/dependent‑care supports, and a structured flex return. Feedback suggests family‑building depth is a notable strength of the package.
-
Strong & Reliable Incentives — Compensation design features semiannual performance bonuses, profit‑sharing, and recognition awards that augment base pay. Feedback suggests these incentives help maintain competitive total compensation in key engineering roles.
Cirrus Logic Insights
What We Do
Cirrus Logic is a leading supplier of low-power, high-precision mixed-signal processing solutions for mobile and consumer applications. The company has a robust portfolio of sophisticated low-power products, including boosted amplifiers, smart codecs, camera controllers, haptic driver and sensing solutions, power conversion and control Integrated Circuits, and fast-charging Integrated Circuits. These solutions have innovative technology, software and associated algorithms incorporated. With a strong intellectual property portfolio and extensive mixed-signal expertise, Cirrus Logic is well-positioned to drive innovation and growth in the evolving markets of audio and high-performance mixed-signal processing technologies. We are hiring like crazy! Please visit our careers portal at cirrus.jobs to check out our available openings!
Why Work With Us
Engineering drives our company, and innovation isn’t just encouraged – it’s expected! This is a culture where you get to work with some of the largest, most innovative customers and products on the planet on a daily basis and where everyone is a key contributor to the company’s success. There are no Miltons here!
Gallery
