AI Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

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Salary

$75K-$102K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

24% below the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Engineer Irvine, CA, US Responsibilities MaxLinear is seeking a highly motivated Artificial Intelligence Engineer to evaluate and integrate cutting-edge AI technologies into the semiconductor engineering workflows. This role sits at the intersection of AI innovation, engineering productivity, and enterprise-scale deployment, helping shape how modern AI systems are operationalized across teams. You will play a critical role in identifying high-impact use cases, benchmarking AI platforms, and delivering scalable, secure solutions that drive measurable business value. In this role, you will focus on the following: Evaluate AI platforms and large language models (LLMs), including GPT, Claude, Gemini, and SWE-class systems Contribute to the design and execution of benchmarks to measure quality of results (QoR), productivity gains, and scalability Identify strengths, limitations, and optimal use cases across AI tools and architectures Partner with cross-functional teams to deploy solutions across multiple domains Validate and implement AI-driven solutions within real-world semiconductor engineering workflows Partner with engineering to translate engineering use cases into production-ready AI capabilities Partner with internal teams to develop and analyze ROI and cost-performance tradeoffs across cloud and on-prem deployment models Provide data-driven recommendations on AI platform selection and scaling strategies Optimize resource utilization for maximum business impact Design and support LLM deployments

Read the full description at careersus-maxlinear.icims.com. FewerJobs shows a preview and links to the original posting.