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What you will be doing:
Lead initiatives and guide the development of On-Prem and Cloud infrastructure to ensure its scalability and performance.
Collaborate across teams to drive technical consensus around architecture and technology decisions.
Enhance the reliability, scalability, and efficiency of our core systems with a focus on infrastructure automation.
Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, and monitoring.
Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.
What we need to see:
Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience with 12+ years of proven experience in infrastructure engineering with a focus on automation.
Proficient in Python or Go.
Experience with Large-scale data storage and compute clusters (HPC) infrastructure and Excellent working knowledge of storage systems (e.g. NFS, Lustre, GPFS, Ceph)
Experience with the design and deployment of virtualization architectures, including VMware, OpenShift or KubeVirt platforms
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience in designing and implementing highly scalable Infrastructure Services with well-defined APIs.
Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.
Ways to stand out from the crowd:
Deep understanding of other infrastructure components like DNS, LDAP, NIS, Security Tools etc.
Experience with HPC cluster management tools such as Slurm, PBS, LSF, etc.
Experience with multiple monitoring stacks such as Prometheus + Grafana, Elasticsearch + Kibana, Splunk, Zabbix, etc.
Familiarity with newer and emerging monitoring tools.
You will also be eligible for equity and .
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