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AI Compute Engineer - NVIS

NVIDIA· Architect, Professional Services
Apply on company site
Santa Clara, CA, Hybrid (US (Remote)), Remote$124k - $195.5kfull-timePosted 2w ago

About the role

AI Compute Engineer role focused on deploying, managing, and validating AI Compute/HPC infrastructure for diverse customers, interacting with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects.

Responsibilities

  • Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers
  • Be the domain expert with customers during planning calls through implementation
  • Handover-related documentation and perform knowledge transfers to support customers during rollout
  • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements

Qualifications

  • 4+ years providing in-depth support and deployment services; solving problems for hardware and software products
  • Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring)
  • Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager))
  • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience
  • Scripting proficiency (Bash, Python, Ansible, etc.)
  • Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise
  • Strong organizational skills and ability to prioritize/multi-task easily with limited supervision
  • Experience with schedulers such as SLURM, LSF, UGE, etc.
  • Ability to travel to customer sites within the United States up to 20% of the time
  • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience

Skills

Required:Linux system administrationNetworking and advanced networkingBare-metal cluster managementScriptingSchedulersBenchmarking
Nice to have:Kubernetes

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Oct 9, 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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