Director, AI-Driven Digital Design Flows

NXP Semiconductors NV; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

NXP Semiconductors is seeking a Technical Director, Digital Design Methodology & Flow Architecture to define and deploy a repeatable end-to-end digital design flow for advanced process technologies, combining RTL-to-GDS implementation, static verification, PPA optimization, AI tool enablement, and hands-on flow development.

You will lead cross-functional flow transformations, drive automation, and establish reusable methodologies with measurable productivity gains in a high-impact, collaborative

Qualifications

• Hands-on end-to-end digital implementation from RTL to GDS.
• Expertise in static design, timing analysis and signoff processes.
• Experience with MCP clients/servers and JSON-RPC-like integrations.

Responsibilities

• Architect a modular RTL-to-GDS flow covering synthesis, placement, timing/power closure and GDS delivery.
• Enable agentic execution, AI-assisted debugging, and automated EDA workflows.
• Establish repeatable flow practices with baselines, dashboards, and regression checks.
• Collaborate with design, CAD/methodology, foundry and EDA vendors on new tech flows.
• Improve productivity and PPA through automation and reusable methods.

Skills

RTL-to-GDS

Synthesis

Static verification

PPA optimization

Agentic AI workflows

Python scripting

Tcl scripting

Automation

Flow automation

Education

B.S. in Electrical Engineering / Computer Engineering / CS

M.S. or Ph.D. preferred

Tools

Synopsys

Cadence

Siemens EDA

MCP tooling

Job description

NXP Semiconductors is seeking a Technical Director, Digital Design Methodology & Flow Architecture to define and deploy a repeatable end-to-end digital design flow for advanced process technologies, combining RTL-to-GDS implementation, static verification, PPA optimization, AI tool enablement, and hands-on flow development.

You will lead cross-functional flow transformations, drive automation, and establish reusable methodologies with measurable productivity gains in a high-impact, collaborative