{"schemaVersion":"jobsearcher.job.v1","id":"f02e983364e184afbbecfb52","url":"https://jobsearcher.com/jobs/f02e983364e184afbbecfb52","canonicalUrl":"https://jobsearcher.com/jobs/f02e983364e184afbbecfb52","title":"AI Engineer","description":"Responsibilities\nMaxLinear 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:\n\nEvaluate AI platforms and large language models (LLMs), including GPT, Claude, Gemini, and SWE‑class systems\n\nContribute to the design and execution of benchmarks to measure quality of results (QoR), productivity gains, and scalability\n\nIdentify strengths, limitations, and optimal use cases across AI tools and architectures\n\nPartner with cross‑functional teams to deploy solutions across multiple domains\n\nValidate and implement AI‑driven solutions within real‑world semiconductor engineering workflows\n\nPartner with engineering to translate engineering use cases into production‑ready AI capabilities\n\nPartner with internal teams to develop and analyze ROI and cost‑performance tradeoffs across cloud and on‑prem deployment models\n\nProvide data‑driven recommendations on AI platform selection and scaling strategies\n\nOptimize resource utilization for maximum business impact\n\nDesign and support LLM deployments across hybrid environments (cloud and on‑prem)\n\nIntegrate with enterprise data platforms, including data lakes and MCP gateway architectures\n\nEnsure performance, reliability, and scalability of deployed AI systems\n\nImplement best practices based on NIST and OWASP frameworks\n\nDefine AI usage guardrails, governance models, and compliance policies\n\nEnsure enterprise‑grade security and responsible AI adoption\n\nQualifications\n\nExperience working with large language models (LLMs) and AI/ML systems\n\nStrong analytical skills with experience in benchmarking, evaluation, or performance analysis\n\nExperience with cloud platforms (AWS, Azure, GCP) and/or on‑prem infrastructure\n\nAbility to translate technical capabilities into business value\n\nExperience integrating AI into engineering or semiconductor workflows\n\nFamiliarity with data platforms, pipelines, and large‑scale data processing\n\nKnowledge of AI security, governance, and compliance frameworks\n\nHands‑on experience with model deployment, APIs, and system integration\n\nBS in Electrical Engineering or related\n\nCompensation and Benefits\nMaxLinear has a Total Compensation philosophy which includes base salary and annual discretionary bonus eligibility and many positions also include stock‑based compensation.\n\nMaxLinear's good faith estimate starting base salary range is: $75,000 to $102,000 Annually\n\nWe 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.\n\nThe 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.\n\nQualified 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.\n\n#J-18808-Ljbffr","company":"Maxlinear","rawCompany":"maxlinear","city":"Irvine","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-17T03:31:33.477Z","occupations":[{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"Responsibilities\nMaxLinear 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:\n\nEvaluate AI platforms and large language models (LLMs), including GPT, Claude, Gemini, and SWE‑class systems\n\nContribute to the design and execution of benchmarks to measure quality of results (QoR), productivity gains, and scalability\n\nIdentify strengths, limitations, and optimal use cases across AI tools and architectures\n\nPartner with cross‑functional teams to deploy solutions across multiple domains\n\nValidate and implement AI‑driven solutions within real‑world semiconductor engineering workflows\n\nPartner with engineering to translate engineering use cases into production‑ready AI capabilities\n\nPartner with internal teams to develop and analyze ROI and cost‑performance tradeoffs across cloud and on‑prem deployment models\n\nProvide data‑driven recommendations on AI platform selection and scaling strategies\n\nOptimize resource utilization for maximum business impact\n\nDesign and support LLM deployments across hybrid environments (cloud and on‑prem)\n\nIntegrate with enterprise data platforms, including data lakes and MCP gateway architectures\n\nEnsure performance, reliability, and scalability of deployed AI systems\n\nImplement best practices based on NIST and OWASP frameworks\n\nDefine AI usage guardrails, governance models, and compliance policies\n\nEnsure enterprise‑grade security and responsible AI adoption\n\nQualifications\n\nExperience working with large language models (LLMs) and AI/ML systems\n\nStrong analytical skills with experience in benchmarking, evaluation, or performance analysis\n\nExperience with cloud platforms (AWS, Azure, GCP) and/or on‑prem infrastructure\n\nAbility to translate technical capabilities into business value\n\nExperience integrating AI into engineering or semiconductor workflows\n\nFamiliarity with data platforms, pipelines, and large‑scale data processing\n\nKnowledge of AI security, governance, and compliance frameworks\n\nHands‑on experience with model deployment, APIs, and system integration\n\nBS in Electrical Engineering or related\n\nCompensation and Benefits\nMaxLinear has a Total Compensation philosophy which includes base salary and annual discretionary bonus eligibility and many positions also include stock‑based compensation.\n\nMaxLinear's good faith estimate starting base salary range is: $75,000 to $102,000 Annually\n\nWe 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.\n\nThe 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.\n\nQualified 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.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T03:31:33.477Z","dateModified":"2026-06-17T03:31:33.477Z","hiringOrganization":{"@type":"Organization","name":"Maxlinear","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f02e983364e184afbbecfb52"},"url":"https://jobsearcher.com/jobs/f02e983364e184afbbecfb52"}}