Sr. Principal Engineer, AI Systems and Solutions

## Job Description Position Summary Lead the definition and execution of system-level validation strategies across performance, power, and thermal domains while driving the transformation of validation methodologies through Generative AI. This role will establish scalable frameworks that automate validation planning, test creation, coverage analysis, and execution, improving product quality, accelerating development cycles, and increasing engineering efficiency. ## Responsibilities - Define and lead comprehensive system-level validation strategies, ensuring alignment between architecture, design specifications, and validation coverage. - Drive the adoption of GenAI and AgenticAI technologies to automate test plan generation, test development, coverage modeling, and gap analysis. - Partner with architecture, design, software, and product engineering teams to embed validation and automation requirements early in the development lifecycle. - Develop scalable AI-powered validation solutions that generate high-quality test content, coverage metrics, and validation workflows. - Establish best practices for AI-assisted validation and continuous process improvement. - Improve product quality, validation effectiveness, and defect detection while reducing manual effort through automation. - Utilize data-driven insights to measure, benchmark, and optimize validation efficiency and coverage. - Provide technical leadership and mentorship to engineers adopting advanced validation methodologies and GenAI-enabled workflows. - Strong expertise in system-level validation, including performance, power, and thermal characterization. - Proven experience building and deploying validation automation frameworks. - Hands-on experience with Python & automation tools. - Experience applying GenAI and Large Language Models (LLMs) to engineering workflows. - Demonstrated ability to lead cross-functional technical initiatives involving architecture, design, software, and validation teams. - Strong analytical, problem-solving, and leadership skills. - Track record of driving organizational transformation and adoption of new engineering methodologies. ## Requirements - Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or a related field. - 15+ years of experience in silicon, platform, or system validation. ## Nice to Have - Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, AI/ML, or a related field. - Knowledge of AI-assisted test generation, coverage analysis, and validation methodologies. - Background in data analytics, machine learning, or intelligent workflow automation. ## Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $255,850.00-413,520.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.