Senior Applied Scientist – AI​/ML Calibration & Optimization

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics.

The e-Beam division plays a critical role in KLA’s inspection ecosystem, with tools that deliver high-resolution, timely insights into defects and critical locations on the wafer. Used alongside KLA’s patterned and bare wafer inspectors, e-Beam systems help our customers quickly identify and understand yield-impacting issues—enabling faster, more effective actions to correct the manufacturing process.

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. Calibration is fundamental to the accuracy, stability and productivity of semiconductor inspection and metrology systems. KLA is seeking a Senior Applied Scientist to rethink how electron-optical systems are calibrated and recalibrated—using machine learning, mathematical and statistical modeling, physics-informed AI and large-scale engineering data.

You will develop next-generation calibration solutions that reduce calibration time, improve accuracy and repeatability, compensate for drift, strengthen tool-to-tool matching, and enable more intelligent diagnostics and recovery. This role combines advanced modeling with real experimental systems: you will develop algorithms, validate them against hardware data and work with engineering teams to integrate successful solutions into products. The underlying mission and scope come directly from the team’s need to modernize calibration, diagnostics and optimization across electron sources, electron-optical columns, steering systems, detectors, alignment, focus, high-voltage, and vacuum-related performance.

• Redesign calibration and recalibration workflows to improve speed, accuracy, repeatability, robustness, and system productivity.
• Develop and validate calibration algorithms for electron sources, electron-optical columns, deflectors and beam-steering systems, detectors, alignment and focus functions, and performance compensation associated with high-voltage and vacuum behavior.
• Apply machine learning, statistical modeling and physics-informed AI to predict calibration outcomes, model system behavior, and improve calibration decisions.
• Build methods to detect drift, anomalies and performance excursions using engineering, operational and fleet-level data.
• Optimize calibration sequences to reduce time, eliminate unnecessary steps, and balance accuracy, throughput, and system risk.
• Develop adaptive and self-correcting approaches that respond to changing system conditions and support more autonomous calibration behavior.
• Create intelligent diagnostic and recovery methods that accelerate root-cause identification and restore system performance after calibration or hardware excursions.
• Build and combine…