Applied AI/Automation Engineer - Austin, Texas, United States
Originally posted 7 October 2026 by the employer.
About the role
This role involves designing, building, deploying, and supporting practical AI solutions that improve internal engineering workflows, automate repetitive tasks, and make technical information easier to find and use. You will apply the latest AI techniques within scalable software solutions, moving promising ideas from experimentation into reliable, maintainable tools.
What you'll do
- Design, develop, and implement new AI and non-AI tools/utilities to help 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 applications and internal tools
- 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
- Document tool usage, architecture, design decisions, implementation patterns, and operational practices
What you'll need
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field
- 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#
- Experience 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
- Prior experience in the semiconductor or high-tech industry
Nice to have
- Demonstrated ability to move AI prototypes into production, including testing, deployment, monitoring, maintenance, and retirement of solutions
- 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 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, auditability, 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
- Experience partnering with security, IT, governance, and business stakeholders to establish standards and gain adoption for AI solutions
Skills: AI tools, LLM-powered assistants, automation, software engineering, internal engineering workflows, developer productivity
This role has been open 0 days — well below the 41-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
102
|
Median days open
41 d
|
Median salary
$178k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Cirrus Logic | All employers we track in this specialty (102 roles · 31 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 102 |
| Open roles in the wider Software, Firmware & Systems family | 17 | 6063 · 146 employers |
| Median days open | 29 d | 41 d (−12 d vs this employer) |
| Median salary (USD postings) | — | $178k |
Skills observed across this category: AI tools, LLM-powered assistants, automation, software engineering, internal engineering workflows, developer productivity
Who's hiring in this category
- Micron Technology · 14 open roles · median 32 d
- Applied Materials · 10 open roles · median 52 d
- KLA Corporation · 10 open roles · median 42 d
- Cadence Design Systems · 8 open roles · median 22 d
- Lam Research · 8 open roles · median 12 d
- Keysight Technologies · 7 open roles · median 29 d
How we counted: 102 open Software Engineering Semiconductor (AI EDA Design) roles from 31 employers tracked in the SemiconductorJobs index, counted 8 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.