NVIDIA
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Senior Solutions Architect - Cloud Infrastructure and DevOps
October 18
NVIDIA
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Description
• Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting. • Manage Linux job/workload schedulers and orchestration tools. • Develop and maintain continuous integration and delivery pipelines. • Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. • Deploy monitoring solutions for the servers, network and storage. • Perform troubleshooting bottom up from bare metal, operating system, software stack and application level. • Being a technical resource, develop, re-define and document standard methodologies to share with internal teams. • Support Research & Development activities and engage in POCs/POVs for future improvements. • Regional travel is required for on-site visits with customers.
Requirements
• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture. • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software. • Direct design, implementation and management experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud). • Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity. • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, 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. • Comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet/Chef, etc. • Deep knowledge of Networking Protocols like InfiniBand, Ethernet • Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix). • Strong written, verbal, and listening skills in English are critical.
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