Analyst, Algorithm Research & Development

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:

Modern C++ (C++14/17/20)

Experience with:

Data structures

Algorithms

Object-oriented design

Multithreaded programming

Experience developing and deploying:

Random Forests

XGBoost

Gradient Boosting

Isolation Forest

Clustering Algorithms

Predictive Models

Deep Learning

Hands-on experience with:

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.

Vector databases

Knowledge graphs

Ray

Spark

Kubernetes

Docker

Experience building enterprise AI solutions.

What Success Looks Like

Within this role, you will:

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

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

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