HPC Engineer (AI)

Location: Fully remote within the EU

Company

hirify.global is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform for AI teams.

What you will do

• Administer bare-metal and virtualized GPU/HPC clusters from provisioning through ongoing operations.
• Design, deploy, and tune InfiniBand fabrics, including topology planning, subnet management, and performance validation.
• Deploy and operate shared and parallel filesystems for training and inference workloads.
• Troubleshoot hardware and connectivity issues across fibers, transceivers, NICs, switches, drivers, and firmware, working with remote-hands and data center teams.
• Operate Slurm or equivalent workload schedulers and maintain accurate issue tracking, IPAM, and DCIM records.
• Participate in on-call rotations, incident response, and integration of new clusters with platform, network, and storage teams.

Requirements

• Solid Linux administration skills and deep knowledge of InfiniBand clustering, fabric design, subnet management, and performance tuning.
• Experience with shared filesystems such as Lustre, GPFS/Spectrum Scale, or WekaFS.
• Knowledge of NCCL, CUDA, DOCA, the NVIDIA stack, and Slurm or comparable workload scheduling solutions.
• Ability to diagnose and resolve hardware issues remotely with remote-hands teams.
• Experience operating production clusters where uptime and performance affect customer workloads.
• Scripting and automation skills with Python, Bash, or Ansible.

Nice to have

• RoCEv2 or Spectrum-X knowledge.
• GPU health-checking and diagnostics experience, including DCGM or field diagnostics.
• Experience with bare-metal provisioning, GPU-aware virtualization, containerization, or observability stacks.
• Understanding of agentic guardrails for administration of complex systems.

Culture & Benefits

• Full-time, permanent employment with remote work within the EU.
• Cash and equity compensation.
• Healthcare, lunch, wellbeing benefits, and other fringe benefits.
• Opportunity to work with engineers, researchers, and partners across the global AI ecosystem.
• Participation in a fast-growing, profitable operation with an internationally diverse workforce.