ResponsibilitiesMaxLinear 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 BenefitsMaxLinear 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.
