Senior AI Compute Engineer

Nvidia

Confirmed live yesterday Trusted

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $148,000–$235,750 / yr
Posted: 151 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k

This role $192k

$135k most similar roles pay here $269k

This role pays less than 65% of similar roles. Most pay $169,887–$245,112 — the shaded band above. At the midpoint, this role pays about $192k versus about $207k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior AI Compute Engineer

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The Senior AI Compute Engineer - NVIS joins the Infrastructure Specialists team to manage and validate large-scale AI Compute and HPC infrastructure in Linux environments. This role involves interacting with customers and internal teams to analyze, define, and implement complex projects involving networking, system design, automation, and validation. The engineer will serve as a domain expert during planning calls, provide technical documentation, and perform knowledge transfers for sophisticated systems. Key responsibilities include troubleshooting hardware and software products while providing feedback to internal teams. Required skills include Linux system administration, kernel management, network routing, and scripting in Bash, Python, or Ansible. Technical requirements include experience with schedulers like SLURM or LSF, Kubernetes, and benchmarking tools such as MLPerf. Preferred expertise includes InfiniBand, GPU hardware, MPI, and storage technologies like Lustre or GPFS.

Skills

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

What you'll do

Deploy, manage, and validate AI Compute and HPC infrastructure in Linux-based environments.
Act as the primary domain expert for customers during planning calls through project implementation.
Create handover documentation and perform knowledge transfers to support customers during system rollouts.
Provide technical feedback to internal teams by opening bugs and documenting workarounds.
Analyze, define, and implement large-scale AI Compute projects involving networking and system design.
Perform performance reporting, optimization, and logging for high-performance computing systems.
Automate infrastructure tasks using scripting languages like Bash, Python, or Ansible.

What we're looking for

8+ years of experience providing in-depth support and deployment services for hardware and software products.
A four-year degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
Proficiency in Linux system administration including process management, kernel management, and network routing.
Proficiency in scripting languages such as Bash, Python, and Ansible.
Experience with cluster management and provisioning technologies for bare-metal servers.
Experience with schedulers such as SLURM, LSF, or UGE.
Experience with benchmarking tools like HPL, NCCL tests, MLPerf, and Kubernetes.
Preferred experience with InfiniBand, GPU hardware/software, MPI, and storage technologies like Lustre or GPFS.

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