Agentic AI Software Engineer - Equipment Data Analytics

KLA; Milpitas (CA); On-site; USD 136,000 - 200,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Voluntary benefits

401(k) with company matching

ESPP

Student debt assistance

Tuition reimbursement

Career growth programs

Financial planning

Wellness & EAP

Paid time off

Paid holidays

Family leave

Job summary

KLA is seeking a Software Engineer to advance AI-driven analytics for semiconductor manufacturing. You will create intelligent software platforms combining large-scale equipment data, telemetry, and LLMs to improve performance and reliability. This hands-on role influences global production facilities.

You will work across software, data, and hardware teams to deliver end-to-end solutions with secure deployments in customer environments.

Qualifications

• BS or MS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or related field.
• 5+ years of professional software engineering experience building production applications.
• Strong programming in Python and at least one OO language (Java, C++, or C#).
• Experience building scalable backend services, APIs, databases, and distributed systems.
• Experience with hardware integrated software, industrial equipment, telemetry, or IoT platforms.
• Experience data-intensive apps using SQL/NoSQL/streaming tech.
• Familiar with cloud-native development, CI/CD, testing, and modern practices.
• Strong analytical and cross-disciplinary collaboration skills.

Responsibilities

• Design and develop production-grade software for AI-driven diagnostics, monitoring, and predictive maintenance.
• Build Agentic AI frameworks integrating LLMs with engineering and equipment data.
• Develop software interfacing with hardware platforms, telemetry streams, and controls.
• Integrate AI with scalable data platforms including streaming, NoSQL, and vector DBs.
• Create secure APIs, services, and orchestration layers for intelligent workflows.
• Develop high-performance data pipelines transforming data into insights.
• Build intuitive web interfaces to simplify troubleshooting and diagnostics.
• Collaborate across software, hardware, data science, and product teams.
• Deploy and support solutions in secure, customer-controlled environments.
• Drive design quality, testing, and continuous improvement across the stack.

Skills

Python

Java

C++

C#

Backend services

APIs

Databases

Distributed systems

Cloud-native

CI/CD

Testing

Telemetry systems

IoT platforms

Education

BS or MS in CS/SE/CE/EE

Tools

LLMs

Agentic AI frameworks

Vector databases

React

NoSQL

SQL

Streaming platforms

CI/CD tooling

Job description

Company Introduction

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The e-Beam division plays a critical role in KLA's inspection ecosystem, with tools that deliver high-resolution, timely insights into defects and critical locations on the wafer. Used alongside KLA's patterned and bare wafer inspectors, e-Beam systems help our customers quickly identify and understand yield-impacting issues—enabling faster, more effective actions to correct the manufacturing process.

Group/Division

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA's product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices.

What You’ll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. KLA is seeking an experienced Software Engineer to help build the next generation of AI-driven analytics and automation solutions for advanced semiconductor manufacturing systems. In this role, you will develop intelligent software platforms that combine large-scale equipment data, hardware telemetry, machine diagnostics, and Agentic AI technologies to improve equipment performance, reliability, and productivity. Working at the intersection of software, AI, big data, and complex hardware systems, you will build scalable applications that enable semiconductor engineers to diagnose issues, predict failures, and interact with sophisticated electron-beam inspection and metrology tools using natural language. This is a hands-on engineering role with global impact. The solutions you develop will be deployed within semiconductor manufacturing facilities worldwide, supporting some of the most advanced hardware systems used in semiconductor production.

Responsibilities

• Design and develop production-quality software solutions supporting AI-driven equipment diagnostics, monitoring, and predictive maintenance.
• Build and enhance Agentic AI frameworks that integrate large language models (LLMs) with engineering and equipment data systems.
• Develop software that interfaces with complex hardware platforms, equipment telemetry streams, machine control systems, and manufacturing data sources.
• Integrate AI technologies with scalable data platforms, including streaming architectures, NoSQL databases, vector databases, and knowledge management systems.
• Build secure APIs, services, and orchestration layers that support intelligent workflows and automated decision-making.
• Develop high-performance data pipelines that transform equipment and operational data into actionable insights.
• Create intuitive user experiences and modern web applications that simplify troubleshooting and equipment diagnostics.
• Collaborate across software, systems, hardware, data science, and product engineering teams to deliver end-to-end solutions.
• Deploy and support solutions operating in highly secure, customer-controlled semiconductor manufacturing environments.
• Drive software design, code quality, testing, and continuous improvement initiatives across the platform.

Qualifications Required

• BS or MS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
• 5+ years of professional software engineering experience developing production applications.
• Strong programming skills in Python and at least one object-oriented language such as Java, C++, or C#.
• Experience developing scalable backend services, APIs, databases, and distributed software systems.
• Experience working with hardware integrated software systems, industrial equipment, manufacturing systems, instrumentation, embedded interfaces, controls software, telemetry systems, or IoT platforms.
• Experience building data-intensive applications using SQL, NoSQL, streaming platforms, or large-scale data processing technologies.
• Familiarity with cloud-native development, CI/CD pipelines, source control, automated testing, and modern software engineering practices.
• Strong analytical and troubleshooting skills with the ability to work across multidisciplinary engineering teams.

Preferred Qualifications

• Experience with semiconductor equipment, manufacturing systems, inspection systems, industrial automation, robotics, or scientific instrumentation.
• Experience developing applications utilizing LLMs, Agentic AI frameworks, retrieval-augmented generation (RAG), tool/function calling, or AI orchestration frameworks.
• Experience with vector databases, knowledge graphs, machine learning pipelines, or predictive analytics solutions.
• Experience developing React-based user interfaces or modern web applications.
• Understanding of equipment diagnostics, predictive maintenance, reliability engineering, or operational analytics.
• Experience deploying software in secure, disconnected, or air-gapped environments.

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

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Total Rewards

Total Rewards Base Pay Range: $136,300.00 - $199,900.00 Annually Primary Location: USA-CA-Milpitas-KLA

KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to:

• medical
• dental
• vision
• life
• other voluntary benefits
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off
• paid company holidays
• family care and bonding leave

Interns are eligible for some of the benefits listed.

Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person— is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [e-mail] or at [phone] to request accommodation. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.