Enabling the movement toward advanced chip design, 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.

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

- Bachelors, Masters, 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

Solid 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Analyst, Algorithm Research & Development (Chennai)
🏢 KLA
📍 Chennai