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.Job Description/Preferred Qualifications
Design and develop AI-enabled applications and services. Build, train, evaluate, and deploy machine learning and generative AI models. Develop scalable software using modern programming languages and cloud technologies. Collaborate with product managers, domain experts, and software engineers to deliver end-to-end AI solutions. Create data pipelines, model training workflows, and inference services. Integrate AI models into production applications and operational processes. Monitor model performance, reliability, security, and responsible AI compliance. Conduct proof-of-concepts and transition successful prototypes into production systems. Participate in code reviews, testing, DevOps, and software release processes. Experience building AI agents and agentic workflows.
Experience with large language models (LLMs) and Retrieval Augmented Generation (RAG).
Experience integrating AI solutions with enterprise systems such as SAP, Snowflake, or manufacturing platforms.
Familiarity with Azure AI, OpenAI, AWS, or other cloud AI services.
Knowledge of data engineering, analytics, and MLOps practices.
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
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.
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 [email protected] or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Skills Required
- Master's degree with 0 years of related work experience
- Bachelor's degree with 2 years of related work experience
- Experience designing and developing AI-enabled applications and services
- Experience building, training, evaluating, and deploying machine learning and generative AI models
- Experience developing scalable software with modern programming languages and cloud technologies
- Experience building AI agents and agentic workflows
- Experience with large language models and Retrieval Augmented Generation
- Experience integrating AI solutions with SAP, Snowflake, or manufacturing platforms
- Familiarity with Azure AI, OpenAI, AWS, or other cloud AI services
- Knowledge of data engineering, analytics, and MLOps practices
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
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Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
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Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
