Senior AI Compute Engineer - NVIS

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 45 days ago $148,000–$235,750 / year
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At a glance

AI generated

TL;DR

NVIDIA seeks a Senior AI Compute Engineer to join its Infrastructure Specialists team, where you will work on large-scale AI Compute projects for customers worldwide. Your primary responsibilities include deploying and managing AI Compute/HPC infrastructure in Linux environments, providing expert guidance during planning and implementation phases, creating detailed documentation, and offering feedback to internal teams. You must have extensive experience with Linux system administration, cluster management technologies like BCM, scripting languages such as Bash and Python, and schedulers like SLURM. Additionally, knowledge of benchmarking tools, GPU-focused hardware/software, InfiniBand, MPI, and storage technologies will set you apart. This role demands strong interpersonal skills and the ability to handle multiple tasks with minimal supervision while occasionally traveling within the U.S.

Skills

Linux Bash Python Ansible SLURM LSF UGE Kubernetes HPL NCCL MLPerf InfiniBand MPI Lustre GPFS BCM Terraform CI/CD

What you'll do

  • Deploy, manage, and validate AI Compute/HPC infrastructure in Linux environments for new and existing customers.
  • Serve as the domain expert during customer planning calls through implementation phases.
  • Create handover documentation and conduct knowledge transfers to support sophisticated system rollouts.
  • Provide feedback to internal teams by documenting bugs, workarounds, and suggesting improvements.
  • Utilize scripting proficiency (Bash, Python, Ansible) for automation and validation tasks.

What we're looking for

  • 8+ years of experience in deploying and managing AI Compute/HPC infrastructure in Linux environments.
  • Expertise in Linux system administration, including networking, cluster management, and provisioning technologies.
  • Proficiency in scripting languages like Bash, Python, and Ansible for automation tasks.
  • Strong interpersonal skills and ability to provide technical support and knowledge transfer to customers.
  • Experience with workload schedulers such as SLURM, LSF, UGE, and benchmarking tools like HPL, NCCL tests.
  • Bachelor’s degree in Computer Science, Electrical or Computer Engineering, or equivalent experience.

Market check

Salary context

This $148,000–$235,750 range sits above 30% of similar postings on FindRole.

Peer median band

$170,850–$260,295

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$174,600–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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