Cluster Administration Engineer (GPU/HPC)

Location: San Francisco, California; remote work may be considered within the US for exceptional candidates

Salary: $200,000–$400,000 USD annual salary plus equity

Company

hirify.global develops and operates infrastructure for vLLM, with a mission to make AI inference cheaper and faster.

What you will do

• Own the health, availability, observability, and usability of high-performance GPU and HPC clusters.
• Monitor GPU availability, cluster scheduling, access, diagnostics, alerting, and incident response.
• Operate GPU servers, troubleshoot node failures, memory errors, driver issues, scheduler problems, and hardware faults.
• Standardize provisioning, operations, debugging, and scaling across neo-cloud and dedicated compute providers.
• Automate operational workflows and improve cluster utilization while reducing idle or unavailable GPU capacity.
• Work with engineering leadership and infrastructure owners to keep compute available for development, testing, and vLLM-related systems.

Requirements

• Bachelor's degree or equivalent experience in computer science, engineering, systems administration, or a related field.
• Hands-on experience administering large compute clusters, HPC environments, research clusters, supercomputing systems, or production GPU clusters.
• Strong Linux administration skills covering networking, processes, storage, package management, shell scripting, logs, access control, and debugging.
• Experience with SLURM, Kubernetes, or equivalent cluster scheduling and resource-allocation tools.
• Ability to own urgent infrastructure incidents end to end and automate workflows with Bash, Python, Ansible, Terraform, Helm, or similar tools.
• On-site work is based in San Francisco; remote candidates must be located in the US.

Nice to have

• Experience with GPU compute providers such as Lambda, CoreWeave, Crusoe, Nebius, Together, Fireworks, or RunPod.
• Knowledge of InfiniBand, RoCE, NVLink, NVSwitch, RDMA, NCCL, NFS, Lustre, Ceph, or other HPC networking and storage systems.
• Experience with secure access, identity, permissions, SSH, VPNs, bastion hosts, secrets, and infrastructure security.
• Background in research computing, scientific computing, ML infrastructure, SRE, platform engineering, or infrastructure operations.
• Experience building monitoring, alerting, runbooks, health checks, remediation workflows, or multi-provider operating standards.

Culture & Benefits

• Hands-on ownership of infrastructure used by engineers and researchers.
• Health, dental, and vision benefits.
• 401(k) company match.
• Equity included in compensation.
• Visa sponsorship is available on a case-by-case basis.