At a glance
Automatically prepared from the listing. Check the original description for the full requirements.
Jump to the original descriptionResponsibilities
Lead the development and production deployment of industrial-grade generative and agentic AI capabilities for semiconductor and electronic systems design. Coordinate between product divisions, R&D teams, and external partners to deliver scalable AI-powered workflows.
Requirements
Seeking a seasoned leader with expertise in applied AI and software engineering within the EDA domain. Must be able to connect technical R&D with enterprise infrastructure and customer needs.
Working hours
40 hours per week
Skills
- Generative AI
- Agentic AI
- Software Engineering
- EDA
- Semiconductor Design
- Technical Leadership
- Product Deployment
- AI-native Workflows
Visa sponsorship
Not detected in the job text
Categories
- Software
- Engineering
- Management & Leadership
- Technology
- Science & Research
Keywords
- Generative AI
- Agentic AI
- EDA
- Semiconductor
- Electronic Systems Design
- AI-native
- Software Engineering
- Industrial-grade AI
- Physics-based Engines
- Enterprise Infrastructure
- Engineering Productivity
- Design Quality
- Foundry Partners
- Scalable Workflows
Original job description
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.
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