RI
Director of AI/ML Engineering (EDA & Semiconductor Design)
Accepting applicationsRandstad India · Hyderabad, Telangana, India
Full-Time Principal AI
Posted
3d ago
Category
Eda
Experience
Principal
Country
India
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
Show more Show less
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
Show more Show less