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KL
kla

Software Quality Engineer – Automation & AI

Chennai · Entry Level

Good timing - competition is buildingVerified listingPosted 16d ago

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Skills required

14 listed
Large Language Models (LLMs)Business PrioritiesRequirements AnalysisTest DesignAgentic AIC# (Programming Language)Software TestingPrompt Engineering+6 more
Large Language Models (LLMs)Business PrioritiesRequirements AnalysisTest DesignAgentic AI

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Job description

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.



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. 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 Film and Scatterometry Technology (FaST) division delivers industry-leading metrology solutions essential to advanced semiconductor manufacturing. Its portfolio includes systems for measuring film thickness, critical dimensions, composition, and resistivity—key to developing and scaling next-gen IC processes. FaST partners closely with customers from early R&D through high-volume production, ensuring performance and process alignment.

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.


Key Responsibilities

  • Qualify new and existing software products and features through functional, regression, performance, reliability, and system-level testing.
  • Design, develop, and execute test plans, test cases, and validation strategies to ensure high product quality.
  • Analyze test results and publish qualification reports, recommendations, training materials, and Best Known Methods (BKMs).
  • Collaborate with Algorithm, System Engineering, Applications Engineering, Product Management, Manufacturing, Marketing, and Customer Support teams across global locations.
  • Assess automation feasibility and develop automated test solutions, frameworks, and tools to improve test coverage and efficiency.
  • Participate in all phases of the software development lifecycle, including requirements analysis, design reviews, deployment, troubleshooting, and customer support.

AI & Innovation Responsibilities

  • Leverage Generative AI and AI-powered tools to improve test design, execution, defect analysis, reporting, and documentation.
  • Develop AI-enabled utilities, applications, and productivity tools for engineering and quality workflows.
  • Explore and implement solutions using Large Language Models (LLMs), AI agents, and modern AI frameworks.
  • Drive AI adoption within the SQE organization by identifying, prototyping, and deploying high-impact use cases.
  • Utilize AI and data analytics techniques to improve quality insights, root cause analysis, and engineering productivity.

Desired Skills

  • Strong programming skills in Python, C#, C++, or Java.
  • Experience with software testing, automation frameworks, and quality engineering methodologies.
  • Exposure to AI/ML concepts, Generative AI, Prompt Engineering, AI agents, or AI application development is preferred.
  • Strong analytical, problem-solving, communication, and collaboration skills.

Additional Requirements

  • Represent SQE in product lifecycle reviews, key program meetings, and cross-functional initiatives.
  • Willingness to travel to customer fabrication facilities for use-case understanding, software deployment, and troubleshooting support as required.

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 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.


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.



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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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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