Senior HPC Solutions Architect, AI

NVIDIA is looking for Senior HPC/AI Solutions Architect to join its Professional Services team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you will be doing: Primary responsibilities will include managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers. Support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement. Maintain services once they are live by measuring and monitoring availability, latency and overall system health Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements. Be part of an on call rotation to support production systems What we need to see: 5+ years providing in-depth support and deployment services, solving problems for hardware and software products. Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). HPC/AI Cluster management technologies EX: Bright Cluster Manager Minimum of a four-year degree from an accredited university or college or equivalent experience in Computer Science, or Electrical or Computer Engineering. Scripting proficiency(Bash, Ansible, etc). Good interpersonal skills with the ability to maintain and deliver resolutions for customer blocking issues as they arise. Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Experience with HPC/AI Schedulers, primarily Kubernetes, with consideration for Slurm, LSF, etc. Way to stand out from crowd: InfiniBand experience. Experience with GPU focused hardware/software. Experience with MPI. Automation tooling background (Ansible, Salt, Puppet etc.. Ethernet and Parallel Storage technologies