Senior Director, AI NPD Platforms & Engineering Intelligence

onsemi is seeking an industry leading AI and semiconductor technology executive to define, build, and govern the next generation of AI-enabled New Product Development (NPD).This leader will establish the vision, strategy, operating model, and governance framework for Agentic AI across the semiconductor design lifecycle, enabling AI-assisted and AI-driven development of analog, mixed-signal, power management, sensing, memory, verification, layout, test, packaging, and system architectures.The role will serve as the executive authority for Agentic AI Design Engineering and will lead the transformation of semiconductor development workflows through reusable AI agents, advanced reasoning systems, design knowledge repositories, and AI-enabled engineering methodologies.Success in this role will materially improve engineering productivity, accelerate product development cycles, increase IP reuse, enhance design quality, and establish onsemi as an industry leader in AI-enabled semiconductor development.onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.More details about our company benefits can be found here:We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact View email address on click.appcast.io for assistance. Required QualificationsBachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline.15+ years of semiconductor industry experience.10+ years of leadership experience in product development, EDA, design methodology, CAD, semiconductor software, or AI-enabled engineering environments.Deep understanding of semiconductor development workflows including: Analog designDigital designVerificationPhysical designDesign automationSemiconductor manufacturing flowsExperience leading complex cross-functional engineering organizations.Proven ability to influence executive leadership and drive organizational transformation.Preferred QualificationsAdvanced degree (MS or PhD) in Electrical Engineering, AI, Machine Learning, Computer Science, or related field.Experience developing AI-enabled EDA tools, semiconductor design automation platforms, or Agentic AI systems.Hands-on experience with: LLMsRetrieval-Augmented Generation (RAG)Multi-Agent ArchitecturesModel Context Protocol (MCP)Workflow Orchestration PlatformsReinforcement LearningAI CopilotsKnowledge GraphsBackground in organizational AI transformation programs.onsemi is excited to share the base salary range for this position is $216,775.00 to $390,195.00 Range exclusive of fringe benefits or potential bonuses. The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of internal equity of our current team members. We also offer a competitive benefits package. Key ResponsibilitiesDefine Enterprise AI NPD VisionDevelop and execute the long term strategy for Agentic AI-enabled semiconductor product development.Create the roadmap for AI deployment across product planning, architecture, design, verification, physical implementation, characterization, test, reliability, applications, and documentation.Define the maturity model for AI-assisted, AI-enabled, and AI-native development methodologies.Establish objectives, success metrics, and business outcomes tied to engineering productivity and NPD execution.Build the Agentic Design PlatformLead creation of an enterprise Agentic AI framework supporting: Analog design agentsDigital design agentsVerification agentsLayout agentsTest engineering agentsApplications engineering agentsDocumentation and requirements agentsProgram management agentsDefine standards for agent architecture, interoperability, orchestration, security, and lifecycle management.Partner with engineering, CAD, IT, and infrastructure teams to deploy scalable AI design environments.Govern AI Agents as Strategic IPEstablish companywide governance for AI agents and engineering knowledge assets.Develop processes for agent qualification, validation, release, version control, maintenance, retirement, and reuse.Create an "Agent Library" and corporate repository of approved agents, prompts, workflows, and design knowledge.Define review and approval processes for new internally developed agents.Ensure cross division reuse of agents.Transform Analog and Digital DesignDefine AI-enabled methodologies across: Circuit designArchitecture explorationRTL developmentVerificationPhysical designDevice characterizationDesign reviewsFailure analysisDocumentation generationDrive deployment of AI workflows into production engineering environments.Identify high-value use cases capable of delivering significant improvements in development cycle time, engineering efficiency, and design quality.Create the AI Governance Operating ModelDefine AI governance policies for engineering workflows.Establish standards for: Model selectionTraining data usageIntellectual property protectionSecurity and access controlsHuman-in-the-loop decision processesValidation requirementsAuditability and traceabilityEnsure responsible deployment of AI systems across engineering organizations.Drive Measurable Business OutcomesEstablish KPI frameworks measuring: NPD cycle timeDesign productivityEngineering efficiencyAgent reuse ratesAI adoptionDesign quality improvementsVerification coverage improvementsIP creation velocityDeliver measurable improvements in development throughput and engineering effectiveness.Full timePosting Date: 2026-09-29