Senior Director, AI NPD Platforms & Engineering Intelligence
Onsemi
$216,775 - $390,195 / year
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Description
Key Responsibilities
Define Enterprise AI NPD Vision
- 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 IP
- Establish 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 Design
- Define AI-enabled methodologies across:
- Circuit design
- Architecture exploration
- RTL development
- Verification
- Physical 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 Model
- Define 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 rates
- AI adoption
- Design quality improvements
- Verification coverage improvements
- IP creation velocity
- Deliver measurable improvements in development throughput and engineering effectiveness.
Qualifications
Required Qualifications
- Bachelor’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 design
- Digital design
- Verification
- Physical design
- Design automation
- Semiconductor manufacturing flows
- Experience leading complex cross-functional engineering organizations.
- Proven ability to influence executive leadership and drive organizational transformation.
Preferred Qualifications
- Advanced 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:
- LLMs
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Architectures
- Model Context Protocol (MCP)
- Workflow Orchestration Platforms
- Reinforcement Learning
- AI Copilots
- Knowledge Graphs
- Background 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. https://www.onsemi.com/site/pdf/Benefits-Summary-USA.pdf
More details about our company benefits can be found here:
Benefits
- stock options
About this role
Onsemi is seeking a Senior Director to architect and lead the company's transformation toward AI-enabled semiconductor product development. This role sits at the intersection of engineering strategy and AI innovation, requiring you to define the enterprise vision for deploying agentic AI across the full spectrum of semiconductor design and development—from analog and digital circuit design through verification, physical implementation, and test. You'll establish the long-term roadmap, success metrics, and governance frameworks that enable this transformation at scale.
The position demands deep expertise in semiconductor development workflows combined with proven leadership in driving organizational change. You'll need 15+ years in the semiconductor industry with at least 10 years leading complex cross-functional teams in product development, design methodology, or engineering software environments. While a background in AI-enabled EDA tools or agentic systems is preferred, the role emphasizes your ability to influence executive leadership and translate semiconductor engineering challenges into AI-driven solutions. Hands-on familiarity with LLMs, multi-agent architectures, and workflow orchestration is valuable but secondary to your track record of building and scaling engineering platforms.
Success in this role means establishing an "Agent Library" of approved AI tools, defining standards for agent architecture and governance, and delivering measurable improvements in NPD cycle time, design productivity, and engineering efficiency across the organization. You'll work in-office in San Jose, leading initiatives that touch every major engineering discipline at Onsemi. The salary range is $216,775 to $390,195, with final compensation based on experience, skills, and location.
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Pay for this role
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