Senior Director, AI NPD Platforms & Engineering Intelligence
$216,775.00 to $390,195.00
Apply now (opens in a new tab)Senior Director, AI NPD Platforms & Engineering Intelligence
L7
$216,775.00 to $390,195.00
Occupations
Electronics Engineers, Except ComputerArchitectural and Engineering ManagersComputer Hardware EngineersIndustries
Semiconductor and Related Device ManufacturingSemiconductor Machinery ManufacturingOther Electronic Component Manufacturing- Analog design
- Digital design
- VerificationPhysical design
- Design automation
- Semiconductor manufacturing flows
- Experience leading complex cross-functional engineering organizations.
- Proven ability to influence executive leadership and drive organizational transformation.
- Preferred
- LLMsRetrieval-Augmented Generation (RAG)
- Multi-Agent Architectures
- Model Context Protocol (MCP)
- Workflow Orchestration Platforms
- Reinforcement LearningAI Copilots
- Knowledge Graphs
- Develop 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 Platform
- Lead creation of an enterprise Agentic AI framework supporting:
- Analog design agents
- Digital design agents
- Verification agents
- Layout agents
- Test engineering agents
- Applications engineering agents
- Documentation and requirements agents
- Program management agents
- Define 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 design
- Architecture explorationRTL development
- VerificationPhysical design
- Device characterization
- Design reviews
- Failure analysis
- Documentation generation
- Drive 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 selection
- Training data usage
- Intellectual property protection
- Security and access controls
- Human-in-the-loop decision processes
- Validation requirements
- Auditability and traceability
- Ensure responsible deployment of AI systems across engineering organizations.
- Drive Measurable Business Outcomes
- Establish KPI frameworks measuring:
- NPD cycle time
- Design productivity
- Engineering efficiency
- Agent reuse ratesAI adoption
- Design quality improvements
- Verification coverage improvementsIP creation velocity
- Deliver measurable improvements in development throughput and engineering effectiveness.
- Full time
Level
ManagerL7
Salary
$216,775.00 to $390,195.00
Location
San Jose, CA
Occupation
Electronics Engineers, Except Computer
Industry
Semiconductor and Related Device Manufacturing
Posted
38 days ago
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