AI / ML DFT Project Lead

What you'll do

• Lead the strategy and execution of AI/ML and agentic AI initiatives for DFT and DFD design workflows.
• Integrate AI agents and services with EDA tools, repositories, and engineering data sources through secure interfaces.
• Develop predictive models and intelligent automation to address DFT challenges across IP and SoC designs.
• Architect agentic workflows combining LLMs, domain knowledge, RAG, and human-in-the-loop controls for complex tasks.
• Establish evaluation methods, quality gates, and guardrails for production engineering workflows.
• Manage model deployment, monitoring, and continuous improvement using MLOps and DevOps practices.
• Drive scalable automation of DFT implementation and verification using Python, Perl, Tcl, and shell scripting.
• Coordinate cross-functional project plans, risks, and technical decisions while communicating progress to stakeholders.

What we're looking for

• Extensive experience in DFT and/or DFD architecture, design, implementation, verification, or methodology for high-performance SoCs and IP.
• Demonstrated technical leadership of complex, cross-team engineering initiatives from definition through production adoption.
• Hands-on experience developing and deploying AI/ML applications in production or enterprise engineering environments.
• Familiarity with agentic AI systems design including tool use, multi-agent systems, RAG, and workflow orchestration.
• Strong Python development skills and proficiency with one or more ASIC/EDA automation languages like Perl, Tcl, and shell scripting.
• Knowledge of MLOps, data lifecycle practices, and software engineering deployment practices such as CI/CD and containerization.
• Strong foundation in digital logic, VLSI design, and the interactions between test, power, timing, area, and physical design constraints.
• BSEE, MSEE, Computer Engineering, Computer Science, or an equivalent technical degree (preferred).