Software Engineering Director

Job Title

Software Engineering Director

Role Summary

Lead architecture and delivery of AI/ML and agentic AI solutions across Siemens EDA products. This strategic engineering leadership role defines technical architecture, governance, and platform standards to turn AI concepts into production-grade systems within electronic design automation workflows. The position works closely with engineering leaders, product management, AI researchers, and UX teams in a hybrid Austin, TX environment.

Experience Level

Senior — 12+ years of industry experience with at least 4–8 years focused on AI/ML development and architecture.

Responsibilities

Primary responsibilities include technical leadership, platform architecture, cross-team collaboration, and production delivery of AI-enabled features.

• Define and drive technical architecture for AI/ML and Agentic AI across multiple products and teams.
• Design scalable AI platforms: LLMs, agent frameworks, vector databases, RAG, and related infrastructure.
• Establish architecture patterns, protocols, governance, and roadmaps for AI adoption.
• Lead design of intelligent agents for tool usage, automation, planning, and autonomous task execution.
• Architect end-to-end systems: data pipelines, model serving, observability, memory management, evaluation, and deployment.
• Evaluate and select models, frameworks, and infrastructure to meet product and business objectives.
• Collaborate with product, UX, research, and domain experts to deliver production-grade solutions.
• Mentor engineering teams on LLM architecture, prompt engineering, RAG systems, and AI standards.
• Ensure responsible AI practices: model evaluation, governance, security, privacy, and compliance.

Requirements

Must-have technical skills and experience to succeed in this role; a short list of preferred qualifications follows.

• Must-have: 12+ years industry experience; 4–8+ years focused on AI/ML and architecting enterprise-scale solutions from prototype to production.
• Proven expertise in LLM-based systems, agentic AI frameworks, retrieval-augmented generation, and vector databases.
• Hands-on experience building AI agents/coplots that integrate with tools and external APIs; familiarity with agentic patterns (ReAct, plan-execute, multi-step reasoning).
• Proficiency in Python and strong software design, APIs, and clean code principles.
• Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn; knowledge of deep learning models (transformers, neural networks).
• Practical skills in data preprocessing, feature engineering, model evaluation, and observability for ML systems.
• Familiarity with developer tooling and copilot-style integrations.
• Strong foundations in algorithms, data structures, CLI and API design.
• Nice-to-have: C/C++ proficiency, experience with code-understanding/AST tools, graph databases (Neo4j/FalkorDB), containerization (Docker), CI/CD, GPUs/parallelism, and background in digital design or EDA tools.

Education Requirements

Not specified.

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.