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.
The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems and an extensive parts network to ensure worldwide availability of parts.
Job Description/Preferred Qualifications
KLA is seeking a Product Engineer - Robotics & AI to develop, integrate, and scale robotics‑based and AI‑enabled solutions for semiconductor capital equipment and service operations. This role sits at the intersection of product engineering, robotics integration, machine vision, and applied AI, translating real‑world service and manufacturing problems into robust, scalable solutions using collaborative robots (cobots), sensing, and intelligent software.
The engineer will contribute hands‑on from concept and discovery, through prototype and pilot, to productization and deployment, working closely with Product, Service, Systems, Software, and AI teams across KLA.
Key Responsibilities
Robotics & System Integration
- Lead and support development of robotic and cobot‑based use cases for service and manufacturing environments, including handling, inspection, maintenance, and assistive automation.
- Define and integrate end‑of‑arm tooling (EOAT), fixtures, sensors, and vision systems required for robotic applications
- Collaborate on robot hardware bring‑up, validation, and bench testing in lab and pilot environments.
AI & Machine Vision
- Partner with AI and Software teams to integrate machine vision, perception, and AI models into robotic workflows (e.g., vision‑guided manipulation, health checks, inspection).
- Support definition of data pipelines, sensing strategies, and model feedback loops to improve performance and reliability.
- Contribute to deployment of Service AI and Robotics AI use cases into real customer and factory environments.
Minimum Qualifications
- Bachelor's degree (or higher) in Mechanical Engineering, Robotics, Mechatronics, Electrical Engineering, Computer Engineering, or related field.
- Experience in robotics systems, mechatronics, or automation, including hardware‑software integration.
- Hands‑on experience with robot platforms, cobots, or automated systems in laboratory, manufacturing, or field environments.
- Working knowledge of sensors, actuators, motion control, and system validation.
- Experience with machine vision, AI‑assisted robotics, or perception systems.
- Ability to work across disciplines and communicate clearly with both hardware and software teams.
Preferred Qualifications
- Familiarity with service automation, semiconductor equipment, or industrial automation environments.
- Experience supporting technology discovery, pilot programs, and product scaling.
- Exposure to Python, C/C++, robotics frameworks, or data analysis tools.
- Strong problem‑solving skills with a bias toward practical, deployable solutions.
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