Principal AI and ML Infra Software Engineer, GPU Clusters

About this role

We are seeking a Principal AI and ML Infra Software Engineer, GPU Clusters at NVIDIA to join our Hardware Infrastructure team. As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating closely with customers to pinpoint and address infrastructure deficiencies, facilitating groundbreaking AI and ML research on GPU Clusters

Together, we can craft potent, effective, and scalable solutions as we mold the future of AI/ML technology! What you will be doing: Engage closely with our AI and ML research teams to discern their infrastructure requirements and barriers, converting those insights into actionable improvements. Proactively identify researcher efficiency bottlenecks and lead initiatives to systematically improve it. Drive the direction and long-term roadmaps for such initiatives

Monitor and optimize the performance of our infrastructure ensuring high availability, scalability, and efficient resource utilization. Help define and improve important measures of AI researcher efficiency, ensuring that our actions are in line with measurable results. Work closely with a variety of teams, such as researchers, data engineers, and DevOps professionals, to develop a cohesive AI/ML infrastructure ecosystem

Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization. What we need to see: BS or similar background in Computer Science or related area (or equivalent experience). 15+ years of demonstrated expertise in AI/ML and HPC tasks and systems

Hands-on experience in using or operating High Performance Computing (HPC) grade infrastructure as well as in-depth knowledge of accelerated computing (e.g., GPU, custom silicon), storage (e.g., Lustre, GPFS, BeeGFS), scheduling & orchestration (e.g., Slurm, Kubernetes, LSF), high-speed ne

Apply for this role on NVIDIA’s official careers site.