Infrastructure Platform Engineer (AI)

Location: San Francisco, CA; on-site

Salary: $150,000–$350,000 per year, plus equity

Company

hirify.global is building a multi-silicon neocloud for fast, efficient AI inference across heterogeneous hardware.

What you will do

• Design, deploy, and operate large-scale CPU, GPU, and accelerator clusters for production AI inference.
• Build provisioning and lifecycle management systems for deployment, upgrades, validation, and fleet operations.
• Improve scheduling, resource utilization, isolation, and capacity management across heterogeneous hardware.
• Build observable infrastructure for debugging, incident response, and reliable production operations.
• Bring new accelerator platforms into production in partnership with distributed systems, runtime, compiler, networking, and hardware engineers.
• Influence the architecture of the infrastructure platform supporting next-generation AI workloads.

Requirements

• Experience in infrastructure, cluster engineering, platform engineering, SRE, HPC, or distributed systems.
• Deep Linux systems experience, including performance, networking, storage, process, and kernel-level debugging.
• Experience operating Kubernetes, Slurm, Nomad, or similar orchestration and scheduling systems.
• Strong automation skills with Terraform, Ansible, Helm, Python, Go, or equivalent tools.
• Experience with GPU or accelerator infrastructure, including drivers, firmware, CUDA/ROCm stacks, or hardware validation.
• Familiarity with high-performance networking and the ability to build observable, recoverable production systems.

Nice to have

• Experience with AI inference, training, HPC, or neocloud infrastructure.
• Experience with bare-metal provisioning, PXE/iPXE, image pipelines, BIOS/firmware management, or rack bring-up.
• Experience with multi-tenant isolation, quota systems, fair scheduling, or usage accounting.
• Experience debugging distributed workload performance across compute, memory, network, and storage bottlenecks.
• Experience with observability platforms such as Prometheus, OpenTelemetry, or Grafana, and heterogeneous hardware from NVIDIA, AMD, Intel, ARM, or emerging accelerator vendors.

Culture & Benefits

• Early-stage startup environment with significant ownership and ambiguity.
• Close collaboration with a small group of highly capable engineers.
• Opportunity to shape the infrastructure platform and how the company scales.
• Equity is offered as part of compensation.