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Senior AI Compute Engineer - NVIS

NVIDIA· Architect, Professional Services
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Hybrid (Santa Clara, CA / Remote US)$148k - $235.8kPosted 3w ago

About the role

Senior AI Compute Engineer on NVIDIA Infrastructure Specialists team, focused on deploying, managing, and validating AI Compute/HPC infrastructure for customers, with strong emphasis on planning, implementation, and knowledge transfer.

Responsibilities

  • Deploying, managing, and validating 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 required to support customers as they begin rolling out complex systems.
  • Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Qualifications

  • 8+ 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 administrationCluster management / bare-metal provisioningScriptingSchedulersBenchmarking / MLPerf / NCCL / HPLCommunication / Interpersonal skillsTravel willingness

Benefits

  • equity
  • benefits
Last updated Oct 2, 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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