Product Engineer – Computer Science & Data Analytics

Requirements

• 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.
• 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 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 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee.
• We take your privacy very seriously and confidentially handle your information.