Product Engineer – Computer Science & Data Analytics
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
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 datadriven and edgeintelligent solutions that improve service productivity tool availability and decisionmaking across KLAs global installed base.
This role focuses on transforming raw tool sensor and service data into realtime insights using a combination of edge analytics AIenabled 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.
Key Responsibilities
Data Analytics & Insights
- Develop analytics and diagnostics using largescale tool sensor and service data including logs timeseries and eventbased data.
- Create health indicators anomaly detection and KPIs that directly improve MTTR uptime and service efficiency.
- Analyze fleetlevel trends to identify systemic reliability and performance issues.
Edge AI & Smart Diagnostics
- 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 realtime 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.
Software & Data Engineering
- 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.
AI & Advanced Analytics Enablement
- 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
- Bachelors 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 timeseries 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 realtime environments.
Preferred Qualifications
- 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 productiongrade 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 KLAs 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Required Experience:
IC
About Company
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen. Who are we? We research, develop, and manufacture t ... View more
