NVIDIA validation engineer Sakeena Fiza describes hardware testing for AI data centers

Fiza recalls the first time the NVIDIA Rubin GPU enumerated at a system level, a moment the lab celebrated as a milestone. From that point the hardware must prove resilient across tray, rack, cluster and production‑line stages. Validation covers high‑speed signaling, thermal margins, power integrity, mechanical tolerances and even dust levels, aiming to catch problems before customers encounter them.

Before joining NVIDIA, Fiza earned a computer‑science degree at UC Irvine and grew up in Dubai, where early coding experiences led to robotics and UAV projects. She enjoys the interdisciplinary nature of validation, noting that each new product offers a fresh puzzle that ultimately makes the next generation of AI infrastructure more reliable.