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
