AI Compute Engineer - NVIS

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $92,000–$155,250 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k

This role $124k

$75k most similar roles pay here $254k

This role pays less than 96% of similar roles. Most pay $154,400–$235,750 — the shaded band above. At the midpoint, this role pays about $124k versus about $195k 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 997 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 984 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · AI Compute Engineer - NVIS

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NVIDIA seeks an AI Compute Engineer to join its Infrastructure Specialists team, where you will work on large-scale AI Compute projects by deploying and managing AI Compute/HPC infrastructure in Linux-based environments. This role involves collaborating with customers, partners, and internal teams to analyze, define, and implement complex systems, ensuring thorough documentation and knowledge transfer for successful customer rollouts. You will leverage your expertise in Linux system administration, cluster management tools like SLURM and Kubernetes, and scripting languages such as Bash and Python to deploy and validate AI infrastructure. Ideal candidates have 4+ years of experience in providing support and deployment services, with a strong background in networking, system design, and automation. Experience with GPU hardware/software, InfiniBand, MPI, and storage technologies like Lustre is highly valued for this dynamic customer-focused role.

Skills

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

What you'll do

Deploy and manage AI Compute/HPC infrastructure in Linux-based environments.
Serve as the domain expert during customer planning calls and implementation phases.
Create handover documentation for customers to support system rollouts.
Provide feedback to internal teams by documenting issues and suggesting improvements.
Utilize cluster management tools like SLURM, Kubernetes, or LSF for provisioning.

What we're looking for

4+ years of experience in deploying and managing AI Compute/HPC infrastructure.
Proficiency in Linux system administration and cluster management tools like SLURM or Kubernetes.
Strong scripting skills with Bash, Python, Ansible, and other automation tools.
Excellent interpersonal and customer support skills for resolving issues effectively.
Experience with benchmarking tools such as HPL, NCCL tests, MLPerf.
Degree in Computer Science, Electrical Engineering, or related field.

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