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.
“This project showcased the best of collaboration,” Farjallah said. “Our close work with the GPUDirect Storage team enabled us to successfully integrate the technology and realize measurable performance gains.”
Farjallah values the autonomy and flexibility she’s found working at NVIDIA.
“You’re encouraged to shape your role based on your strengths and interests,” she said. “After years of working in scientific computing, I had the chance to shift focus to AI and GPU programming, which required a new way of thinking and presenting proof-of-concept solutions.”
That curiosity and drive for hands-on engineering led her to a six-month rotation with the AI developer technology team last year. The experience rekindled her passion for application engineering, exploring technologies at a deeper level and building from the ground up.
Since officially joining that team in late 2024, she’s worked with tools like NVIDIA Nsight Systems and NVIDIA Nsight Compute, collaborating with the NVIDIA TensorRT-LLM team on performance analysis as well as with an AI team to benchmark applications and project their performance on future hardware.
Farjallah is optimistic about carving her own path in developer technology. She’s especially excited by the transformative power of AI tools, including coding assistants that boost developer productivity and streamline workflows.
She remains grounded in the fundamentals and offers this guidance to aspiring technologists: “Take the time to understand the core concepts. Be curious, question everything, stay open-minded and always recognize the contributions of others as you forge your professional journey.”
Follow @nvidialife on Instagram and learn more about NVIDIA life, culture and careers.