Software Engineering Director - AI

Job Title

Software Engineering Director - AI

Role Summary

Lead development and production deployment of generative and agentic AI capabilities for Siemens EDA across the semiconductor and electronic systems design lifecycle. Serve as a technical and organizational leader coordinating product divisions, R&D, customers, foundries, and ecosystem partners to deliver scalable, verifiable AI-powered design workflows.

Experience Level

Senior - requires extensive engineering leadership: typically 10+ years of professional software engineering experience, including 5+ years leading teams that deliver commercial EDA platforms, AI-enabled engineering systems, distributed infrastructure, or production-grade software for complex semiconductor design flows.

Responsibilities

Primary responsibilities include defining strategy, aligning across product teams, and delivering production-grade AI capabilities for EDA workflows.

• Define and execute the engineering roadmap for generative and agentic AI across EDA workflows (multi-agent orchestration, autonomous exploration, natural-language tool control, AI-driven design intelligence).
• Partner with R&D, product management, and platform teams across the Siemens EDA portfolio to establish shared platform layers, unified APIs, reusable infrastructure, and consistent telemetry.
• Act as senior technical advisor to strategic customers; lead technical evaluations, design reviews, and joint innovation initiatives.
• Collaborate with foundries, IP providers, cloud partners, and ecosystem collaborators to integrate PDKs, design rules, and signoff collateral while ensuring governance, auditability, and IP protection.
• Architect scalable agent runtimes and tool-calling protocols that integrate with Siemens EDA and third-party tools, supporting deterministic fallbacks and signoff-quality validation.
• Recruit, mentor, and lead teams of applied AI engineers, EDA domain experts, agentic systems architects, and MLOps/AgentOps engineers; drive disciplined execution and product-quality engineering practices.
• Ensure industrial-grade AI properties: accuracy, verifiability, robustness, usability, security, and customer trust are designed into solutions.

Requirements

Key technical and leadership requirements. Degree requirements are summarized separately under Education Requirements.

• Proven engineering leadership with experience driving large, matrixed organizations and building unified architectural standards across distributed product divisions.
• Executive customer acumen: experience leading technical discovery, executive briefings, customer advisory boards, and joint innovation with semiconductor or hyperscale customers.
• Hands-on architectural experience with multi-agent orchestration, generative AI, retrieval-augmented generation, knowledge graphs, graph-based models for circuits/netlists, and domain-adapted LLMs for RTL and design collateral.
• Deep semiconductor and EDA domain fluency across architecture exploration, RTL, implementation, physical verification, signoff, test, custom IC and PCB/system design, and manufacturing readiness.
• Strong software systems skills: modern C++ (17/20), Python, distributed microservices, GPU inference scaling, and on-prem/hybrid HPC execution environments.
• Experience deploying secure enterprise-grade AI solutions (on-premises, hybrid, air-gapped, multi-tenant) with access control, auditability, and IP protection.
• Track record of converting PoCs or lighthouse deployments into production-scale product adoption and measurable business impact.
• Excellent communication and cross-functional collaboration skills to align stakeholders and drive delivery.

Education Requirements

Master's or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field.

About the Company

Company: Siemens

Headquarters: Munich, Germany

Siemens EDA is a leading global provider of Electronic Design Automation (EDA) products and systems. Their innovative solutions enable companies to enhance the development of electronic products efficiently and effectively, keeping pace with the complex demands of technology and physics. Siemens is committed to delivering advanced workflow solutions that integrate both EDA and MCAD tools for multi-domain design and manufacturing in the semiconductor industry.