Systems Engineer (Network / Storage / Systems) (AI)

TL;DR

Systems Engineer (Network / Storage / Systems) (AI): Architecting and operationalizing core physical and logical infrastructure for large-scale AI systems with an accent on networking, storage, and system bring-up. Focus on designing next-generation compute environments, debugging complex hardware/software faults, and building automation for cluster readiness.

Location: Hybrid in San Francisco (3 days in office). Relocation assistance is offered.

Salary: $335,000 – $455,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead system engineering workstreams for networking, storage, and system validation for the Stargate team.
• Design and improve top-of-network architectures including frontend, WAN, OOB, and firewall layers.
• Define high-performance storage architectures across in-rack, in-pod, cluster, and cloud tiers.
• Lead system bring-up for new hardware platforms, managing imaging, provisioning, and validation.
• Debug complex system faults across firmware, NIC, GPU, and server layers to drive root cause analysis.
• Build automation tools to improve lab operations, SKU onboarding, and deployment velocity.

Requirements

• 7+ years of experience in systems engineering, infrastructure, or large-scale compute environments.
• Deep technical expertise in networking, storage systems, server platforms, firmware, or Linux.
• Proven experience bringing up new hardware systems or clusters in lab or production.
• Expertise in debugging low-level hardware/software issues and conducting cross-functional RCA.
• Familiarity with hyperscale infrastructure, AI clusters, HPC environments, or data center systems.
• Must be based in or able to relocate to San Francisco to support the hybrid work model.

Nice to have

• Experience supporting large-scale GPU clusters or accelerator-based infrastructure.
• Familiarity with cluster management, provisioning, or fleet lifecycle tooling.
• Expertise in network automation, storage optimization, or systems observability.
• Experience scaling greenfield infrastructure deployments.

Culture & Benefits

• Opportunity to work on the physical infrastructure powering frontier AI models.
• Relocation assistance for candidates moving to San Francisco.
• Hybrid work environment (3 days in office per week).
• Competitive compensation package including equity.