Description

NVIDIA is looking for an experienced HPC DevOps Engineer to help build supercomputers and HPC clusters of the future.

As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing.

Responsibilities:

Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.
Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
Develop complex networking automations.
Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
Serve as a technical resource, developing and sharing best practices with internal teams.
Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

Requirements:

B.Sc. in Computer Science, Engineering, or a related field
5+ years of experience
Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles.
Familiarity with Jenkins, Ansible, Puppet/Chef.
Deep understanding of Kubernetes and container-related microservice technologies.
Hands-on experience with event streaming or message queue technologies e.g. Apache Kafka.
Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.
Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix).
Familiarity with cloud platforms (AWS, Azure, Google Cloud).