Software Engineering Director - AI

Job Family: Software

Company Overview

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.

Position Overview

We are seeking a seasoned Director of Software Engineering – Applied AI & Agentic EDA Innovation to help advance Siemens EDA's AI-native vision across the full semiconductor and electronic systems design lifecycle. In this role, you will lead the development and production deployment of industrial-grade generative and agentic AI capabilities that are purpose-built for the unique complexity of EDA—grounded in domain-specific Siemens EDA expertise, trusted design data, secure enterprise infrastructure, and physics-based EDA engines.

You will serve as a pivotal technical and organizational leader connecting Siemens EDA product divisions, algorithmic R&D teams, enterprise customers, foundry partners, and ecosystem collaborators to deliver trusted, verifiable, and scalable AI-powered workflows that improve engineering productivity, design quality, and time-to-results.

• Siemens EDA AI-Native Vision:
  Define and execute the engineering roadmap for Siemens EDA's generative and agentic AI capabilities, including multi-agent workflow orchestration, autonomous design-space exploration, natural-language tool control, and AI-powered design intelligence across functional IC, physical IC, manufacturing, 3D IC, and electronic systems workflows.
• Cross-Portfolio Strategic Alignment:
  Partner with R&D leaders, chief architects, product management, and platform teams across the Siemens EDA portfolio—including Solido, Calibre, Questa One, Tessent, Aprisa, Veloce, Catapult, Xpedition, Hyper Lynx, and related solutions—to establish shared AI platform layers, unified APIs, common agent skills, consistent telemetry, and reusable infrastructure without fragmenting core engines.
• Strategic Customer Engagement:
  Serve as a senior technical leader and trusted AI advisor for strategic Siemens EDA customers, including hyperscalers, fabless semiconductor companies, IDMs, foundries, and systems companies. Co-develop customer-relevant agentic workflows, lead technical evaluations and design reviews, and translate critical design bottlenecks into differentiated Siemens EDA product capabilities.
• Foundry, IP, and Ecosystem Co-Optimization:
  Collaborate with leading foundries, IP providers, cloud partners, and AI ecosystem collaborators to enable secure, standards-aware workflows that incorporate PDKs, design rules, signoff collateral, reference flows, and customer design context into Siemens EDA AI runtimes while maintaining enterprise-grade governance, auditability, access controls, and IP protection.
• Multi-Agent Systems & Siemens EDA Tool Integration:
  Architect scalable agent runtimes and tool-calling protocols that can plan, act, reflect, iterate, and execute across Siemens EDA and third-party environments through APIs, MCP-style interfaces, command-line flows, GUI integrations, and human-in-the-loop checkpoints, while preserving deterministic fallbacks and signoff-quality validation.
• Organizational Leadership & Execution:
  Recruit, mentor, and lead high-performing teams of applied AI engineers, EDA domain experts, agentic systems architects, and MLOps/Agent Ops engineers. Drive disciplined execution, reusable platform investment, product-quality engineering practices, and cross-business-unit collaboration to convert AI innovation into production-ready Siemens EDA…