Technical Director, Digital Design Methodology & Flow Architecture

The Technical Director Digital Design Methodology & Flow Architecture will define and deploy a repeatable traceable and customizable end-to-end digital design flow for advanced process technologies. The role combines RTL-to-GDS implementation expertise static verification PPA optimization AI tool enablement and hands-on agentic flow development.

• Architect a modular RTL-to-GDS flow supporting synthesis place and route timing/power closure static verification signoff and GDS delivery.
• Enable agentic execution AI-assisted debugging design-space exploration and automated analysis loops for EDA workflows.
• Establish repeatable and traceable flow practices including standard recipes configuration baselines metrics dashboards audit trails regression checks and release management.
• Deploy flows for new process technologies in partnership with design CAD/methodology foundry and EDA vendor teams.
• Improve productivity turnaround time quality-of-results and PPA through automation methodology tuning and scalable reuse.

• Education: B.S. in Electrical Engineering Computer Engineering Computer Science or related field required; M.S. or Ph.D. preferred.
• Level: Director of Technology-level technical leader of digital design CAD/methodology EDA implementation or flow architecture experience.
• Scope: Proven ability to set technical direction influence senior stakeholders and lead cross-functional flow transformation across functional domains or technology nodes.

• Deep hands-on experience in end-to-end digital implementation RTL-to-GDS static design and timing analysis formal/static verification signoff ECO and PPA closure.
• Strong expertise in synthesis floorplanning place and route clock-tree synthesis power optimization congestion analysis and advanced-node implementation challenges.
• Hands-on agentic AI workflow development experience including task planning tool invocation result interpretation retry logic human-in-the-loop checkpoints and autonomous execution patterns.
• Practical MCP experience including MCP clients/servers tool and resource exposure secure access JSON-RPC-style communication and integration with engineering systems.
• Strong scripting and automation skills using Tcl Python Perl shell or equivalent flow automation technologies.
• Experience with major EDA ecosystems such as Synopsys Cadence Siemens EDA or equivalent internal platforms.
• Ability to translate design challenges into repeatable methodology improvements reusable automation and measurable productivity gains.
• Experience defining and executing deployment and migration strategies from current script-driven digital design flows to goal-driven agentic flows including phased rollout MCP/tool-adapter integration validation against golden flows human-in-the-loop checkpoints observability governance rollback planning and production adoption across RTL-to-GDS workflows.

• Experience with AI-enabled EDA agent orchestration retrieval-augmented generation multi-agent workflows and workflow state management.
• Experience developing MCP-enabled connectors or tool adapters for EDA tools job schedulers dashboards repositories databases or compute environments.
• Experience building production-quality flows with observability auditability permission control evaluation harnesses regression validation documentation and release management.

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NXP is an Equal Opportunity/Affirmative Action Employer regardless of age color national origin race religion creed gender sex sexual orientation gender identity and/or expression marital status status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal state or local addition NXP will provide reasonable accommodations for otherwise qualified disabled individuals.