Director - AI/ML Engineering

Role : Director of AI/ML Engineering (EDA & Semiconductor Design)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 groups 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 : 1. Data collection, labelling, and pipeline management2. Model training/fine tuning, validation, and deployment- Lead cross-functional collaboration with : 1. EDA, design, architecture, and platform teams2. 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 workflowsQualifications : - 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 (ref:hirist.tech) Role : Director of AI/ML Engineering (EDA & Semiconductor Design)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 groups 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 : 1. Data collection, labelling, and pipeline management2. Model training/fine tuning, validation, and deployment- Lead cross-functional collaboration with : 1. EDA, design, architecture, and platform teams2. 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 workflowsQualifications : - 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 wor