AI Engineer

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 across hybrid environments (cloud and on‑prem) Integrate with enterprise data platforms, including data lakes and MCP gateway architectures Ensure performance, reliability, and scalability of deployed AI systems Implement best practices based on NIST and OWASP frameworks Define AI usage guardrails, governance models, and compliance policies Ensure enterprise‑grade security and responsible AI adoption Qualifications Experience working with large language models (LLMs) and AI/ML systems Strong analytical skills with experience in benchmarking, evaluation, or performance analysis Experience with cloud platforms (AWS, Azure, GCP) and/or on‑prem infrastructure Ability to translate technical capabilities into business value Experience integrating AI into engineering or semiconductor workflows Familiarity with data platforms, pipelines, and large‑scale data processing Knowledge of AI security, governance, and compliance frameworks Hands‑on experience with model deployment, APIs, and system integration BS in Electrical Engineering or related Compensation and Benefits MaxLinear has a Total Compensation philosophy which includes base salary and annual discretionary bonus eligibility and many positions also include stock‑based compensation. MaxLinear's good faith estimate starting base salary range is: $75,000 to $102,000 Annually We offer competitive benefits designed to support employee health, welfare, and retirement and some highlights are: health care benefits, 401k savings plan, Employee Stock Purchase Plan (ESPP), and paid time off. The actual starting base salary will be determined by the match to certain role‑related criteria such as educational degree(s) or equivalent, relevant work experience, skillset needed for the role, and geographic location; this is not an all‑inclusive list as some roles may require unique skills or experience. Qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, sex, religion, national origin, sexual orientation, gender identity, disability, or protected veteran status. #J-18808-Ljbffr