AI Engineer

MaxLinear Inc

USonsite$75k-$102k/yrPosted Jun 5, 2026
Posting intelligenceActively listed

Skills

premiereazuregooglecloudawsllmml

About the role

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.

Company Overview:

MaxLinear is a global, NASDAQ-traded company (MXL) where the entrepreneurial spirit is alive and well. We are a fabless system-on-chip product company, striving to improve the world’s communication networks for everyone through our highly integrated radio-frequency (RF), analog, digital, and mixed-signal semiconductor solutions for access and connectivity, wired and wireless infrastructure, and industrial and multi-market applications.

We hire the best people in the industry and engage them in some of the most exciting opportunities that connect the world we live in today. Our growth has come from innovative, bold approaches to solving some of the world’s most challenging communication technology problems in the most efficient and effective manner.

MaxLinear began by developing the world’s first high-performance TV tuner chip using standard CMOS process technology. Others said we couldn’t achieve the extremely high-performance requirements using CMOS, but we proved them wrong and achieved enduring global market leadership with our designs. Since then, we’ve developed a full line of products that drive 4G and 5G infrastructure; enable data center, metro and long-haul optical interconnects; bring 10Gbit to the home; power the IoT revolution; and enable robust and reliable communication in harsh industrial environments. Over the years, we’ve expanded through organic growth and through several acquisitions that have perfectly complemented our existing portfolio and enabled us to deliver complete end-to-end solutions in our target markets. One such example was the acquisition of Intel’s Home Gateway Platform Division that added Wi-Fi, Ethernet, and Broadband Gateway Processor SoC technology to our connected home portfolio creating a complete and scalable platform of connectivity and access solutions to fully address our customers’ needs.

Our headquarters are in Carlsbad, near San Diego, California. We also have major design centers in Irvine and San Jose, California; Valencia, Spain; Bangalore, India; Munich, Germany; Israel; and Singapore.

We have approximately 1,200 employees, a substantial majority of whom have engineering degrees and include masters and Ph.D. graduates from many of the premiere universities around the world. Our employees thrive on innovation, outstanding execution, outside-the-box thinking, nimbleness, and collaboration. Together, we form a high-energy business team that is focused on building the best and most innovative products on the market.

Compensation

This Machine Learning Engineer role pays $75k-$102k/yr. Within typical range for machine learning engineer roles in United States.

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