Senior HPC and AI Cluster Administrator

NVIDIA is looking for a Senior HPC and AI Cluster Administrator to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computingYou will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you!What you will be doing:Deploy, manage and maintain large scale HPC/AI clustersManaging Linux job/workload schedules and orchestration toolsSupport and maintain continuous integration and delivery pipelinesTroubleshooting and fixing, bottom up from bare metal, operating system, software stack and application levelSupporting Research & Development activities and engaging in POCs/POVs for future improvementsWhat we need to see:Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience5+ years of experienceKnowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting softwareExperience with job scheduling workloads and orchestration tools such as Slurm, K8sExcellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, GitopsKnowledge of Networking Protocols like InfiniBand, EthernetExperience with virtual systems (for example VMware, Hyper-V, KVM)Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)Ways to stand out from the crowd:Knowledge of CPU and/or GPU architectureKnowledge of Kubernetes, container related microservice technologiesExperience with GPU-focused hardware/software (DGX, Cuda)Background with RDMA (InfiniBand or RoCE) fabricsNVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. We have a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all#IL-Hybrid