Company Overview
Group/Division
Job Description/Preferred Qualifications
KLA is seeking a Product Engineer – Computer Science, Data Analytics & Edge AI to design, build, and scale data‑driven and edge‑intelligent solutions that improve service productivity, tool availability, and decision‑making across KLA’s global installed base.
This role focuses on transforming raw tool, sensor, and service data into real‑time insights using a combination of edge analytics, AI‑enabled diagnostics, and scalable data pipelines. The engineer will help determine what analytics belong in the cloud, at the edge, or directly on tools and robots, enabling faster response, reduced latency, and greater robustness in fab environments.
- Develop analytics and diagnostics using large‑scale tool, sensor, and service data, including logs, time‑series, and event‑based data.
- Create health indicators, anomaly detection, and KPIs that directly improve MTTR, uptime, and service efficiency.
- Analyze fleet‑level trends to identify systemic reliability and performance issues.
- Design and implement edge analytics and Edge AI solutions that run close to the source of data (on tools, robots, sensors, or local compute).
- Enable real‑time anomaly detection, early warning, and predictive diagnostics without dependence on continuous cloud connectivity.
- Support integration of Edge AI models into service platforms, collaborative robots, and smart sensor architectures.
- Build and maintain scalable data pipelines supporting both edge and cloud analytics workflows.
- Develop backend services and libraries to support edge inference events, metadata, and feedback loops.
- Ensure data quality, traceability, and robustness across distributed, hybrid (edge + cloud) systems.
- Prepare datasets for AI/ML workflows, including labeling strategies, feature extraction, and validation pipelines.
- Collaborate with AI teams on model deployment, tuning, and lifecycle management at the edge and in the cloud.
- Support analytics that integrate with robotics, machine vision, and automation systems.
Minimum Qualifications
- Bachelor’s degree (or higher) in Computer Science, Data Science, Software Engineering, or related field.
- Strong foundation in software development and data analytics.
- Experience working with large datasets, log analytics, or time‑series data.
- Proficiency in Python (or similar) for data processing and analysis.
- Understanding of distributed systems and data flows.
- Experience with Edge AI, embedded analytics, or smart sensor systems.
- Exposure to AI/ML model deployment, particularly in constrained or real‑time environments.
- Familiarity with industrial, semiconductor, or service analytics environments.
- Experience designing systems that balance latency, compute, bandwidth, and accuracy.
- Ability to move fluidly between exploratory analysis and production‑grade engineering.
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
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.
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