Director of AI/ML Engineering (EDA & Semiconductor Design)

Director of AI/ML Engineering (EDA & Semiconductor Design)

• Hyderabad, India
• Full-time
• Employment Type: Regular (PERM)
• Remote Work Available: No

Job Description

In this role, you will lead the definition and execution of AI/ML-driven initiatives, drive adoption of ML/AI across frontend and backend design and development flows across the company, enable next-generation intelligent design automation capabilities, and collaborate with cross-functional leaders to integrate AI into engineering productivity, automation, and decision-making processes.

Job Responsibilities

• Define and own the AI/ML strategy for Engineering group’s software and design flows
• Lead the transformation of semiconductor design workflows by deploying AI-driven (agentic) solutions across Frontend (modelling, synthesis, optimization) and Backend (place-and-route, timing closure, physical optimization)
• Drive end-to-end integration of AI into engineering toolchains
• Establish scalable frameworks for:
• Data collection, labelling, and pipeline management
• Model training/fine tuning, validation, and deployment
• Lead cross-functional collaboration with:
• EDA, design, architecture, and platform teams
• External vendors and partners as needed
• Build and grow a high-performance engineering team
• Define KPIs to measure productivity gains, quality improvements, and ROI from AI initiatives
• Ensure alignment with enterprise AI programs and governance frameworks
• Drive continuous innovation and adoption of emerging AI/ML technologies in semiconductor workflows

Qualifications

• MTech/BTech in EE/CS with 20+ years of software development experience and 10+ years of engineering management experience (including leading managers or large teams)
• 7+ years in semiconductor and/or EDA industry
• Proven experience in Applying ML/AI to real-world engineering or automation problems
• Proven experience building and scaling AI/ML platforms leveraging technologies such as LangChain, vector databases, and RAG-based architectures
• Deep understanding of LLM ecosystems, including embeddings, knowledge retrieval, and integration of AI agents into production workflows
• Strong understanding of software architecture, distributed systems, Data pipelines and ML workflows
• Demonstrated ability to Lead cross-functional initiatives and translate business/engineering needs into technical solutions
• Should have exposure to quality processes for project execution, delivery, and working with multiple teams across geos
• Strong communication skills for executive-level engagement
• Preferred Hands-on experience with EDA tools, chip design flows, or semiconductor development lifecycle
• Prior Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or similar) is a plus
• Prior experience building AI-driven solutions for Design optimization and Automation/ productivity improvement is preferred
• Familiarity with Cloud platforms and scalable compute infrastructure and Data-driven decision systems is preferred