In this role, you will work with KLA's Measurement, Analytics and Control group to integrate Agentic AI across various semiconductor manufacturing products. The focus is on solving complex challenges through technical design, technology stack identification, and hands-on development. You will collaborate with a talented cross-functional team to enhance efficiency, quality, and innovation in semiconductor applications. This position offers the opportunity to be at the forefront of AI technology in the semiconductor industry.

• Master's degree or PhD in Computer Science, Electrical Engineering or related field.
• Experience in AI/ML development, particularly with agent-based systems or reinforcement learning.
• Proficiency in programming languages such as Python, JavaScript, Angular/Vue, C/C++, and PyTorch.
• Understanding of semiconductor manufacturing processes and data pipelines.
• Strong communication skills and ability to work in a dynamic cross-functional environment.

• Architect and implement agentic AI solutions for semiconductor applications.
• Develop multi-agent systems that collaborate across semiconductor domains.
• Integrate reasoning, planning, and reinforcement learning into AI workflows.
• Collaborate with hardware, software, and data teams to ensure seamless deployment and usability.
• Continuously evaluate emerging technologies in agent-based AI and apply them to real-world semiconductor challenges.

• Employees at KLA are often offered competitive pay with bonuses, a 401(k) match, an employee stock purchase program, and financial perks like student-debt assistance, planning support, and group insurance discounts. Health and lifestyle benefits typically include medical/dental/vision, life and other voluntary coverages, paid time off and holidays, family leave, backup care, wellness rewards, gym discounts, and community-volunteering opportunities. Employees also get strong growth support through tuition reimbursement, KLA’s corporate learning center, education awards, and engineering certification programs.