AI Infrastructure Solutions Engineer

Location: Remote in Spain, with onsite deployment work required in some cases

Company

hirify.global provides enterprise AI and high-performance storage solutions based on hirify.global Infinia and hirify.global EXAScaler.

What you will do

• Deploy and customize hirify.global AI solutions for strategic enterprise customers.
• Integrate NVIDIA AI Enterprise services, vector databases, RAG and agentic workflows, storage, and networking.
• Serve as the primary technical contact for assigned customers and interpret deployment designs with Pre-sales.
• Develop automation, scripts, monitoring tools, documentation, and repeatable deployment workflows.
• Support AI/ML, data-intensive, and HPC workloads across on-premises, hybrid, and cloud-adjacent environments.
• Collaborate with Engineering, Product Management, Support, Field Services, vendors, and partners to optimize customer applications.

Requirements

• 5+ years of experience in a senior technical role deploying complex, customer-facing production systems.
• Experience administering Lustre or similar parallel file systems in large-scale environments.
• Strong Linux systems knowledge, including performance tuning and troubleshooting.
• Understanding of distributed storage architectures, networking fundamentals, and data movement at scale.
• Ability to work directly with customers and collaborate across cross-functional technical teams.
• Occasional physical hardware setup tasks may be required with appropriate tools and support.

Nice to have

• Experience with IBM Spectrum Scale, StorNext, object storage, S3-compatible systems, NAS protocols, and data transfer tools.
• Automation development and debugging with shell scripting, Python, or Bash.
• Knowledge of InfiniBand, Ethernet, TCP/IP, routing, and network diagnostics tools.
• Knowledge of NVIDIA AI Enterprise services, including NIMs, NeMo, Triton, TensorRT, GPU Operator, and licensing, plus Milvus.
• Experience with Kubernetes, SLURM, BCM, authentication systems, GPU environments, and large-scale data pipelines.

Culture & Benefits

• Work on production-scale AI and HPC systems supporting advanced innovation.
• Collaborate with engineers specializing in storage, networking, and distributed systems.
• Influence product direction through direct customer engagement.
• Opportunity to grow toward senior technical leadership, architecture, or product-facing roles.