Analyst, Algorithm Research & Development

Overview

Join KLA's Applied AI Research organization as an AI Engineer, combining software engineering fundamentals with machine learning, statistical algorithms, deep learning and agentic AI to build next-generation intelligence platforms for semiconductor manufacturing and engineering.

What you'll do

• Investigate emerging AI techniques and evaluate their applicability to semiconductor manufacturing and engineering workflows.
• Conduct hands-on research in areas such as foundation models, agentic AI systems, scientific machine learning, computer vision, reinforcement learning, probabilistic modeling, knowledge representation, multi-agent systems and causal AI.
• Develop novel approaches for solving difficult engineering and manufacturing problems.
• Design rigorous experimental frameworks to validate hypotheses and quantify impact.
• Translate research findings into scalable product capabilities.
• Design and develop advanced algorithms using Bayesian inference, probabilistic graphical models, design of experiments, time-series analysis, optimization techniques, causal inference, anomaly detection, predictive modeling, multivariate statistics and graph analytics.
• Create explainable and scientifically sound models and evaluate statistical significance of experimental outcomes.
• Build decision-support and autonomous reasoning systems.
• Develop next-generation deep learning solutions for defect management, yield analytics, manufacturing optimization, image understanding, pattern recognition and engineering knowledge discovery.
• Work with and innovate on CNNs, vision transformers, multimodal models, graph neural networks, self-supervised learning, representation learning, foundation models and diffusion architectures.
• Develop intelligent autonomous systems capable of planning, reasoning, tool usage, workflow orchestration and long-horizon goal achievement.
• Build AI systems using LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI agent frameworks and MCP (Model Context Protocol).
• Develop production-grade solutions in Python and modern C++ (C++17/20) with PyTorch, Ray, Spark, Kubernetes, Docker, vector databases and graph databases.
• Transform research prototypes into scalable and maintainable products.
• Lead technical reading groups, review and discuss recent research papers, and drive internal innovation initiatives.
• Mentor junior engineers on research methodology, promote first-principles thinking, and establish engineering rigor around benchmarking and evaluation.

What you'll need

• MS or PhD in computer science, machine learning, artificial intelligence, statistics, applied mathematics, electrical engineering or a related STEM discipline.
• Typically BS + 5 years, or MS + 3 years, or PhD of related experience.
• Minimum: Doctorate and 0 years related work experience; Master's and 3 years related work experience; or Bachelor's and 5 years related work experience.
• Demonstrated experience in building production AI systems while maintaining strong interest in research and innovation.

Details

• Location: Chennai, India.
• Individual contributor role.