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Senior HPC AI Cluster Engineer

NVIDIA· Engineer, Dev Ops
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Hybrid (US, CA, Santa Clara), Hybrid (US, CA, Remote)$176k - $333.5kFull-timePosted 2mo ago

About the role

Senior HPC AI Cluster Engineer responsible for designing, implementing and maintaining large-scale HPC/AI clusters, developing automation, and supporting R&D initiatives within NVIDIA’s Networking Clusters Solutions Infrastructure team.

Responsibilities

  • Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
  • Manage Linux job/workload schedules 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

Qualifications

  • A degree in Computer Science, Engineering, or a related field (or equivalent experience) and 8+ years of experience
  • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software
  • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
  • 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, Weka.io. Familiarity with newer and emerging storage technologies.
  • Python programming and bash scripting experience.
  • Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
  • Deep knowledge of Networking Protocols like InfiniBand, Ethernet
  • Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
  • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

Skills

Required:HPC/AI cluster design and deploymentJob scheduling and orchestrationLinux and Windows networkingStorage systemsProgramming and scriptingAutomation and configuration managementNetworking protocols & virtualization
Nice to have:Cloud platformsCPU/GPU architecture knowledge

Benefits

  • Benefits available as part of NVIDIA compensation package (link referenced in job description)
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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