Senior Network and Compute Engineer, NVIDIA AI Infrastructure

Job overview

The Senior Network and Compute Engineer, NVIDIA AI Infrastructure role is onsite in San Jose, CA, with the listing also open to candidates anywhere in the U.S. who are ready to travel. Pay is $60 per hour. The engineer supports deployment and operation of NVIDIA AI Factory and GPU-accelerated computing infrastructure for Danta Technologies’ client project. The role exists to deploy, configure, and support compute clusters and their networking, operating systems, and orchestration environments. It contributes by troubleshooting GPU and cluster issues, automating operations, and supporting infrastructure security and lifecycle work.

What you'll do

• Deploy and maintain NVIDIA MGX/GB200 GPU clusters and compute infrastructure
• install and troubleshoot Linux, Kubernetes, and Slurm
• configure Ethernet, InfiniBand, and leaf-spine networking
• work with NVIDIA Base Command Manager, Mission Control, Run, and bare-metal provisioning
• troubleshoot GPU XID errors, NVLink, firmware, drivers, and cluster performance
• implement monitoring, telemetry, automation, and runbooks using Python, Bash, or Ansible
• support security, firmware upgrades, incident management, and infrastructure lifecycle operations.

What we're looking for

Skills & competencies

senior network engineer

compute engineer

nvidia ai infrastructure

gpu clusters

linux

kubernetes

slurm

infiniband

python

san jose ca

$60/hr

danta technologies

Work arrangement

• Weekend coverage required

Benefits & perks

• Healthcare insurance options including dental, medical, and vision
• major holidays
• paid sick leave as required by state law.

Why this role

The posting specifies NVIDIA AI infrastructure, GPU cluster operations, and U.S. Citizen or lawful permanent resident eligibility; sponsorship is unavailable.

About the employer

Danta Technologies is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.