Staff Engineer, AI Compute & HPC Infrastructure

ATOMS Careers page; San Francisco (CA); On-site; USD 224,000 - 284,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Equity

Sick Time & Paid Holidays

Team lunch in office

Job summary

Pronto AI in San Francisco is seeking a Staff Engineer to build and scale its HPC and AI compute infrastructure. You will own GPU/CPU racks, storage, and networking, guiding deployments from requirements through production.

You will design the foundation for thousands of GPUs and exabyte-scale storage, collaborating with hardware vendors and internal teams to ensure reliability and performance.

Qualifications

• Bachelor's degree or equivalent practical experience in a related technical field.
• 8+ years in infrastructure engineering, HPC, or data-center environments.
• Experience designing, deploying, and expanding physical compute infrastructure.
• Led infrastructure initiatives from requirements to production readiness.
• Strong Linux, server hardware, networking, and storage foundation.

Responsibilities

• Build and scale AI compute infrastructure from the ground up.
• Design and commission GPU/HPC infrastructure including SF data-center.
• Define foundation to grow to thousands of GPUs and exabyte-scale storage.
• Specify GPU servers, CPUs, memory, networking, and storage needs.
• Design high-performance networking and distributed storage.
• Collaborate with facilities and procurement for delivery specs.
• Lead end-to-end deployment, validation, and production readiness.
• Develop tooling for bare-metal provisioning, monitoring, and recovery.

Skills

HPC infrastructure

GPU compute

AI infrastructure

Large-scale data centers

Troubleshooting

Education

Bachelor's degree in CS/CE/EE or related field

Tools

Python

Go

Bash

C++

Ansible

Job description

Pronto AI in San Francisco is seeking a Staff Engineer to build and scale its HPC and AI compute infrastructure. You will own GPU/CPU racks, storage, and networking, guiding deployments from requirements through production.

You will design the foundation for thousands of GPUs and exabyte-scale storage, collaborating with hardware vendors and internal teams to ensure reliability and performance.