Rishabh Chaudhary

HW reliability of technical infrastructures, including NPIs and NTIs, at Google Cloud. My emphasis is on next-gen compute racks/pods (incl. TPUs, CPUs/servers), and power delivery and liquid cooling systems designed to support Google's AI workloads.

Reliability Verifications/Validations for both NPIs and CIPs of laser source plasma systems, wafer chucking systems and wafer stage systems used in Films and X-ray metrology tools.

Reliability Engineer focusing on Reliability Verification activities for Epitaxy-based fabrication systems. Some competencies include FMECA/FMEA planning and risk prioritization, Reliability Allocation, Modeling, and Prediction, life test, HALT/HASS/HAST and stress test planning (ALT), Reliability Growth Analysis/ERAMS, Reliability Statistics, ML-based diagnostics and health monitoring.

Rishabh’s work concatenated the fundamentals of electrical contacts, tribology, and reliability to improve the life-cycles of RF switches often operating at low loads. These switches failed primarily due to fretting wear and corrosion, however, lubrication posed one way to mitigate the contact’s surface degradation, and to effectively enhance their electrical performance. Hence, he studied the rheological effects of using various fluid-based and semi-solid-based lubricants on the switches’ fretting performance, both qualitatively and quantitatively.

Rishabh's academic interests focused on Reliability Engineering with applications to electronic components and systems. This included Prognostics and Health Management (PHM | ML), fundamentals of electronic systems and packaging, reliability prediction and modeling, and reliability statistics. His curriculum included cognition into multi-disciplinary optimization, risk management, continuum mechanics, and advanced mechanics of materials.