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What You'll Be Doing
Design, implement an on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of Nvidia.
Design and implement scalable and efficient Storage solutions tailored for data-intensive applications, optimizing performance and cost-effectiveness.
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.
Document the general procedures and practices, perform technology evaluations, related to distributed file systems.
Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements.
Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization.
What we need see:
BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience.
8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
Experience with one or more parallel or distributed filesystems such as Lustre, GPFS is a must.
Design, deployment and management of Enterprise NAS solutions like NetApp, Pure Storage and S3 storage.
Python/Bash/Golangprogramming/scriptingexperience.
Strong Experience operating services in any of the leading Cloud environment [ AWS, Azure or GCP].
Excellent communication and collaboration skills.
Ways To Stand Out Of The Crowd:
Background with RDMA (InfiniBand or RoCE) fabrics.
Experience with multiple monitoring stacks such as Prometheus+Grafana,Elasticsearch+Kibana,Splunk, Zabbix, etc. Familiarity with newer and emerging monitoring products.
Prior Experience with HPC cluster management tools such as Slurm, PBS, LSF, etc.
Experience with containerization technologies, such as Docker, Mesosphere DCOS, Kubernetes (k8s).
You will also be eligible for equity and .
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