HPC Operations Engineer

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you’ll be doing: • Troubleshoot incoming support requests in a large-scale HPC environment. • Contribute improvements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation. • Ensure compute servers are running an accurate Operating System and configuration. • Address Complex Issues: Perform comprehensive issue resolution from bare metal to application level, ensuring system reliability and efficiency. • Collaborate with specialist teams to drive issues to closure. • Collaborate with domain experts to improve how our chip development process utilizes our infrastructure. • Directly contribute to the overall quality and improve time to market for our next generation chips. What we need to see: • BS in Computer Science or similar degree or equivalent experience • 2+ years of experience Proficient in coordinating Centos/RHEL Linux distributions. • Understating of container technologies like Docker. • Proficiency in Python and UNIX scripting languages such as bash. • Excellent problem-solving skills, with the ability to analyze sophisticated systems, identify bottlenecks, and implement scalable solutions. • Excellent communication and teamwork skills, with the ability to work optimally with teams with varied strengths and individuals. • Proven understanding of cluster configuration managements tools such as Ansible. Ways to stand out from the crowd: • Understanding of key Linux technologies such as NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distribution flavors. • Familiarity with job scheduler administration (e.g. IBM Spectrum LSF or SLURM) and experience building/ operating large scale compute infrastructure. • Knowledge of the FlexLM license management system. • Proficiency in Perl for maintaining legacy automation scripts. • Familiarity with High-Speed Networking (InfiniBand, RDMA, RoCE etc.) and fast, distributed storage systems (Lustre, GPFS, etc.)