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About the Role

We are seeking a hands-on Senior AI Engineer to join Cirrus Logic’s centralized AI Core team. You will develop, prototype, validate, and scale AI-enabled engineering capabilities across R&D’s Hardware, Software & Firmware design teams. This role is ideal for an engineer energized by solving ambiguous technical problems, validating solutions rigorously, and turning pilots into practical engineering leverage at scale.

Responsibilities

Partner with Hardware, Software & Firmware leaders, architects, developers, test engineers, and DevOps to identify, prioritize, and rapidly prototype high-value AI use cases.
Build and evaluate AI-assisted workflows for firmware and driver development, code understanding, debugging, test creation, documentation, and engineering productivity.
Design and implement retrieval-augmented generation, contextual knowledge, tool integration, and agentic workflows that safely use approved internal engineering information.
Connect AI systems to appropriate engineering tools, repositories, build and test systems, documentation, and, where appropriate, hardware and lab environments.
Establish rigorous evaluation methods for AI-enabled workflows, including quality, correctness, security, developer experience, productivity, and hardware-in-the-loop validation.
Convert successful pilots into reusable AI Core capabilities, including reference architectures, libraries, integration patterns, governance controls, documentation, and enablement materials.
Help define the technical roadmap for AI in R&D, including build-versus-buy recommendations, vendor evaluation, data and access requirements, and deployment patterns.
Work with security, IT, legal, and engineering leadership to ensure responsible use of models, code, confidential information, and internal tools.
Share learnings across the AI Core team and R&D through demonstrations, technical guidance, and practical training that supports adoption.
Establish repeatable, validated ways for Cirrus engineers to use AI effectively in hardware-adjacent development environments.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline, with 5+ years of relevant experience in software, AI/ML systems, developer infrastructure, embedded systems, firmware, or a closely related field.
Strong Python software engineering skills, with experience delivering production-quality tools, services, or developer infrastructure.
Practical experience applying modern AI/ML technologies, including large language models, retrieval-augmented generation, embeddings and vector search, tool calling, agents, model evaluation, or AI application platforms.
Experience designing reliable software systems with clear interfaces, observability, testing, security, and maintainability.
Demonstrated ability to move from an ambiguous problem statement through prototype, evaluation, and engineering adoption.
Ability to work effectively across software, firmware, hardware, test, DevOps, IT, and security disciplines.
Strong technical judgment, structured problem solving, and communication skills, including the ability to explain complex AI tradeoffs to technical and leadership audiences.
Candidates for this role must be able to access technical data without a requirement for an export license.
We are unable to sponsor or obtain export licenses for this role.

Skills

Python
Large language models
Retrieval-augmented generation
Embeddings and vector search
Tool calling
Agents
Model evaluation
AI application platforms
Embedded software
Firmware
Device drivers
RTOS
Bare-metal development
Hardware bring-up
Hardware/software co-debug
Source control integration
CI/CD integration
Issue tracking integration
Documentation systems integration
Build systems integration
Test automation integration
Laboratory equipment integration
Hardware-in-the-loop
Simulation
Emulation
Automated validation environments
C/C++
Linux
Developer tooling
Code analysis
Secure software-development practices
Enterprise data governance
Access controls
Model safety
Intellectual-property considerations
Reusable technical platforms
Standards development
Enablement materials development

Experience Level

5+ years of relevant experience

Education Level

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline
Advanced degree or equivalent practical experience is valued

About the Company

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.
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!

Equal Opportunity

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.