Summary
Huda Ibeid is a Senior Data Center Performance Engineer with 11 years of experience specializing in high-performance computing, parallel algorithms, and hardware–software co-design for large-scale scientific applications. Currently at NVIDIA after a multi-year tenure as an HPC Performance Architect at Intel, she focuses on modeling, analyzing, and optimizing performance across emerging HPC architectures and data center platforms. Her background includes a PhD from KAUST and postdoctoral research at UIUC, where she translated rigorous numerical analysis into practical preconditioning and solver strategies. Huda combines deep academic training with production-focused performance engineering, enabling measurable gains in throughput and scalability for complex workloads. Based in Pasadena, she brings cross-industry perspective—from university labs to chip and system vendors—which helps bridge research innovations into deployable data-center solutions. An analytical thinker with hands-on systems experience, she often uncovers subtle bottlenecks that yield outsized efficiency improvements.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at KAUST (King Abdullah University of Science and Technology)
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Jordan
Arabic, English