AI Compute Engineer

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $124,000–$195,500 / yr
Employment: Full-time
Posted: 25 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k

This role $160k

$110k $256k

below market most similar roles pay here above market

This role pays less than 79% of similar roles. Most pay $162,000–$238,384 — the blue band above. At the midpoint, this role pays about $160k versus about $200k for comparable roles.

Based on 240 similar postings.

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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · AI Compute Engineer

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The AI Compute Engineer - NVIS joins the Infrastructure Specialists team to build some of the world's largest and fastest AI Compute systems. This role involves interacting with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects. Primary responsibilities include deploying, managing, and validating AI Compute and HPC infrastructure in Linux-based environments. Key tasks involve providing domain expertise during planning calls, performing knowledge transfers, and providing feedback to internal teams. Required skills include Linux system administration, networking, and scripting in Bash, Python, or Ansible. Candidates should possess experience with schedulers like SLURM or LSF, benchmarking tools like MLPerf, and Kubernetes. Technical knowledge of InfiniBand, MPI, and storage technologies like Lustre or GPFS is also highly relevant for this work.

Skills

Linux Python Bash Ansible Kubernetes SLURM LSF UGE InfiniBand MPI Lustre GPFS HPL NCCL MLPerf Networking System Administration Cluster Management GPU HPC

What you'll do

Deploy, manage, and validate AI Compute and HPC infrastructure in Linux-based environments.
Act as the domain expert for customers during project planning and implementation calls.
Analyze, define, and implement large-scale AI Compute projects involving networking and system design.
Provide handover documentation and perform knowledge transfers to support customers during system rollouts.
Report bugs, document workarounds, and suggest improvements to internal engineering teams.
Perform performance reporting, optimization, logging, and network routing tuning.
Manage and provision cluster technologies for bare-metal servers.

What we're looking for

4+ years of experience providing in-depth support and deployment services for hardware and software products.
Minimum of a four-year degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
Knowledge and experience with Linux system administration, including process management, kernel management, and network routing.
Scripting proficiency in Bash, Python, and Ansible.
Experience with schedulers such as SLURM, LSF, or UGE.
Ability to travel to customer sites within the United States up to 20% of the time.
Experience with benchmarking tools like HPL, NCCL tests, MLPerf, and Kubernetes (preferred).
Experience with InfiniBand, GPU hardware/software, MPI, or storage technologies like Lustre or GPFS (preferred).

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