DDN is expanding our Enterprise AI offerings to include the integration of industry leading technologies with DDN Infinia and DDN EXAScaler storage. These solutions will be optimized for inference and RAG workloads and require integration into the customer’s environment. Our support organization is deep on storage (Infinia, EXAScaler); we are now hiring an AI Infrastructure Solutions Engineer to deploy our complete AI solutions. This implementation will include NVIDIA AI Enterprise services (NIMs, NeMo, Triton, GPU Operator, licensing), vector databases (initially Milvus), RAG/agentic workflows, and the high‑performance storage and networking fabric that underpins them.
Key Responsibilities
Serve as the primary technical point of contact for assigned strategic customers, that are deploying DDN AI solutions
Work with Pre-sales to interpret design considerations during solution deployment
Drive operational efficiency through automation, tooling, documentation, and repeatable deployment workflows
Develop and deploy scripts and tools to support customer environments (DevOps-focused)
Be prepared to develop scripting to deploy system monitoring and other metrics based tools to integrate with customer infrastructure
Support AI/ML, data‑intensive, and HPC workloads running at scale in on‑prem, hybrid, and cloud‑adjacent environments
Work closely with customers to optimize the their AI applications to better work with DDN technology
Required Qualifications
5+ years of experience in a senior technical role deploying complex, customer‑facing production systems
Experience administering and operating Lustre or similar parallel file systems in large‑scale environments
Experience with object storage and S3‑compatible systems
Strong Linux systems knowledge, including performance tuning and troubleshooting
Solid understanding of distributed storage architectures, networking fundamentals, and data movement at scale
Proven ability to work directly with customers, communicate clearl
📌 AI Infrastructure Solutions Engineer (Madrid)
🏢 DDN
📍 Madrid
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