AI Compute Infra Engineer — Linux & HPC

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 124,000 - 196,000; Full time

Job summary

NVIDIA in Santa Clara, CA is seeking an AI Compute Engineer to join its Infrastructure Specialists team. You will deploy, manage and validate AI Compute/HPC infrastructure in Linux environments for new and existing customers, with occasional travel up to 20%.

As the domain expert, you will participate in planning calls through implementation, hand over documentation, and share feedback with internal teams to improve workflows.

Qualifications

• 4+ years providing in-depth support and deployment services; solving problems for hardware and software products.

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 knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Skills

Linux system administration

Cluster management

Scripting: Bash, Python, Ansible

Networking & HPC concepts

Customer-facing / interpersonal skills

Problem solving & troubleshooting

Scheduling systems (SLURM, LSF, UGE)

GPU/HPC concepts

Education

Bachelor's degree in Computer Science / Electrical Engineering or equivalent

Tools

BCM (Base Command Manager)

Kubernetes

InfiniBand

MPI

GPFS/Lustre storage

NVIDIA GPU platforms

Job description

NVIDIA in Santa Clara, CA is seeking an AI Compute Engineer to join its Infrastructure Specialists team. You will deploy, manage and validate AI Compute/HPC infrastructure in Linux environments for new and existing customers, with occasional travel up to 20%.

As the domain expert, you will participate in planning calls through implementation, hand over documentation, and share feedback with internal teams to improve workflows.