Analyst, Algorithm Research & Development

KLA-Belgium; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

KLA in India is seeking an AI Engineer to design and develop machine learning, analytics, and agentic AI solutions for semiconductor manufacturing. The role combines software engineering with applied ML, deep learning, and computer vision, requiring proficiency in C++ and Python.

You will lead small to mid-sized initiatives, collaborate across software, algorithms, data science, and product teams, and contribute to a large data analytics solution for the semi industry.

Qualifications

• Education: BS/MS/PhD in CS/AI/ML or related.
• 5+ years experience for BS, 3+ for MS, PhD with relevant work.
• Experience building production AI/ML features and systems.

Responsibilities

• Design and deploy ML/analytics features for semiconductor data.
• Develop deep learning models for defect detection and pattern recognition.
• Build agentic AI capabilities and RAG pipelines for workflows.
• Develop production-grade software in Python and C++.
• Collaborate with Software, Algorithms, Data Science and Product teams.

Skills

Python

Modern C++

Data structures

Algorithms

Multithreaded programming

PyTorch

TensorFlow

Deep Learning

CNNs

Transformers

Statistical Analytics

Feature Engineering

Data Validation

Model Evaluation

LangChain

RAG

OpenAI Agents

AI Automation

Education

Bachelor's degree in Computer Science or related

Master's degree in AI/ML or related

PhD in a related field

Tools

PyTorch

TensorFlow

ONNX

Kubernetes

Docker

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations - at their source - rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you’ll be joining the most sophisticated and successful process-control company in the semiconductor industry - working across functions to solve the most complex technical problems in the digital age.

About the Role

We are looking for an AI Engineer to design and develop machine learning, statistical analytics, and agentic AI solutions for semiconductor manufacturing and engineering applications. The role combines software engineering, applied machine learning, deep learning, computer vision, and modern AI frameworks to build intelligent systems that improve product performance, defect detection, engineering productivity, and manufacturing insights. The engineer is expected to contribute independently, lead small to medium-sized technical initiatives, and collaborate across software, algorithms, systems, data science, and product teams. Given the product is a large data analytics solution for the semi industry, proficiency in C++ is necessary in addition to python.

Key Responsibilities

• Machine Learning & Statistical Analytics
  • Design and implement machine learning solutions for classification, regression, clustering, anomaly detection, and forecasting.
  • Develop statistical models using: Hypothesis testing Regression analysis Bayesian methods PCA Time-series analysis Design of Experiments (DOE) Predictive analytics
  • Analyze large-scale manufacturing and engineering datasets to derive actionable insights. Evaluate model performance and drive continuous improvements.
• Deep Learning & Computer Vision
  • Develop deep learning models for: Defect classification Pattern recognition Image segmentation Object detection Feature extraction
  • Build and optimize models using: PyTorch TensorFlow ONNX
  • Work with image-processing pipelines and semiconductor inspection datasets.
• Agentic AI & LLM Applications
  • Develop AI assistants and workflow automation solutions using modern agent frameworks.
  • Build Retrieval-Augmented Generation (RAG) pipelines.
  • Integrate LLMs with enterprise data sources and engineering workflows.
  • Develop tool-using AI agents capable of planning, reasoning, and workflow execution.
  • Contribute to multi-agent systems for engineering productivity and analytics.
• Software Engineering
  • Design and implement production-quality software in: C++ Python
  • Convert business and system requirements into scalable AI solutions.
  • Develop reusable software libraries, APIs, and services.
  • Participate in code reviews and software design reviews.
  • Optimize performance, scalability, and reliability of AI services.
• Collaboration & Product Development
  • Work closely with: Software Engineers Algorithm Engineers Product Managers Applications Teams
  • Contribute to solution design discussions.
  • Participate in feasibility studies and technical investigations.
  • Support deployment, validation, and customer adoption activities.

Required Qualifications

• Education: Bachelor's, Master's, or PhD in: Computer Science Artificial Intelligence Machine Learning Statistics Mathematics Computer Engineering Related discipline
• Experience: Typically: BS + 5 years experience OR MS + 3 years experience OR PhD with relevant experience Consistent with the experience expectations for the P3 AI Engineering level.

Required Technical Skills

• Programming: Strong proficiency in Python Modern C++ (C++14/17/20) Experience with: Data structures Algorithms Object-oriented design Multithreaded programming
• Machine Learning Experience developing and deploying: Random Forests XGBoost Gradient Boosting Isolation Forest Clustering Algorithms Predictive Models Deep Learning
• Hands-on experience with: PyTorch TensorFlow Deep Neural Networks CNNs Transformers Vision Models Statistical Analytics
• Strong understanding of: Probability & Statistics Experimental Design Statistical Inference Feature Engineering Data Validation Model Evaluation
• Agentic AI Exposure to one or more: LangGraph LangChain AutoGen CrewAI Semantic Kernel OpenAI Agents SDK MCP (Model Context Protocol)
• Skills include: Tool Calling Workflow Orchestration RAG Systems Knowledge Retrieval AI Automation

Preferred Qualifications

• Semiconductor manufacturing experience.
• Yield analytics or defect analytics experience.
• Experience with: Vector databases Knowledge graphs Ray Spark Kubernetes Docker Experience building enterprise AI solutions.

What Success Looks Like

• Independently deliver AI and machine-learning features.
• Design and deploy production-ready statistical and deep learning models.
• Build agentic AI capabilities that improve engineering productivity.
• Contribute to image-processing and advanced analytics solutions.
• Influence architecture and technical design decisions.
• Mentor junior engineers and contribute to engineering best practices.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.

Benefits & Compensation

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer.