For Asma Farjallah, striving for excellence has never been a goal — but a way of life. As an AI developer technology engineer at NVIDIA, she builds GPU-accelerated solutions for deep learning workloads.
Born and raised in Sousse, Tunisia, Farjallah is the eldest of three daughters in a family deeply rooted in academics. Her father was an engineer, and her mother had a background in advanced physics. Scientific curiosity and the pursuit of knowledge were regular topics at the dinner table.
After excelling in preparatory school, Farjallah earned a government-sponsored scholarship to study computer science at the Enseirb-Matmeca engineering school in Bordeaux, France. She later pursued a doctoral degree in computer science at the University of Versailles Saint-Quentin-en-Yvelines.
She joined NVIDIA in 2019 as a senior solution architect based in the Courbevoie office, near Paris, where she worked on high-performance computing and AI. Her role involved helping French computing centers port their applications to GPUs.
She also collaborated with the global energy team to integrate GPUDirect Storage into a seismic imaging code known as Kirchhoff migration. Over five months, they optimized input and output operations to significantly boost GPU performance.
