Level

NVIDIA

HPC Operations Engineer

AI in this role

NVIDIA is looking for an HPC Operations Engineer to troubleshoot, automate, and optimize large-scale compute infrastructure.

dockerpythonbashansibleslurm
hpclinuxinfrastructuretroubleshootingautomation

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.)

How we rate this

HPC Operations Engineer at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

HpcLinuxInfrastructureTroubleshootingAutomationDockerPythonBash

Questions you could be asked

  1. Tell me about a project where hpc was part of your work. What did you do?
  2. Tell me about a project where linux was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where troubleshooting was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Hpc, Linux, Infrastructure, Troubleshooting, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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