Senior Director, AI NPD Platforms & Engineering Intelligence

onsemi; San Jose (CA); On-site; USD 217,000 - 390,000; Full time

Benefits offered by this job

Competitive benefits package

Base salary disclosed

Job summary

onsemi is seeking an industry-leading AI and semiconductor technology executive to define, build, and govern the next generation of Agentic AI-enabled New Product Development across the semiconductor design lifecycle. This leader will establish vision, strategy, operating model, and governance for Agentic AI, accelerating product development and IP reuse.

The role drives transformation of design workflows through AI agents, knowledge repositories, and AI-enabled engineering methodologies to

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline.

Responsibilities

• Define Enterprise AI NPD Vision.
• Build the Agentic Design Platform.
• Govern AI Agents as Strategic IP.
• Transform Analog and Digital Design.
• Create the AI Governance Operating Model.
• Drive Measurable Business Outcomes.

Skills

Leadership

Executive influence

AI in engineering

Cross-functional collaboration

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline.

Advanced degree (MS or PhD) in Electrical Engineering, AI, Machine Learning, Computer Science, or related field.

Tools

LLMs

RAG

Multi-Agent Architectures

Model Context Protocol

Workflow Orchestration Platforms

Reinforcement Learning

Knowledge Graphs

Job description

Job Description

Job Description

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.

Responsibilities

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

About Us

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: https://www.onsemi.com/careers/career-benefits

About The Team

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 [e-mail] for assistance.