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.

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.

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

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