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# Ai Infrastructure Solutions Engineer

- **Company:** Ddn
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Bash Shell, Extract Transform Load (ETL), Software Debugging, Linux, DevOps, File Systems, Distributed Data Store, Ethernet, Monitoring of Systems, InfiniBand, Python (Programming Language), Networking Basics, Performance Tuning, Shell Script, TCP/IP, AI Infrastructure, High Performance Computing, Computer Network Technologies, Large Language Models, TensorRT
- **Published:** September 7, 2026
- **Apply:** https://www.buscojobs.com.es/ai-infrastructure-solutions-engineer-en-madrid-ID-369666662

## About the Role

systemsExperience administering and operating Lustre or similar parallel file systems in large?scale environmentsExperience with object storage and S3?compatible systemsStrong Linux systems knowledge, including performance tuning and troubleshootingSolid understanding of distributed storage architectures, networking fundamentals, and data movement at scaleProven ability to work directly with customers, communicate clearly, and build trusted technical relationshipsAbility to work effectively across cross?functional teams including Engineering, Product Management, Support, and Field ServicesPreferred QualificationsExperience with additional parallel file systems such as IBM Spectrum Scale or StorNextExperience developing and debugging automation using shell scripting, Python, Bash, or similar languagesStrong understanding of networking technologies including InfiniBand, Ethernet, TCP/IP, and routingKnowledge of NVAIE services (e.G., NIMs, NeMo, Triton, TensorRT/TensorRT?LLM, GPU Operator,
licensing/NLS) and vector databases (e.G., Milvus)Familiarity with NAS and data

## Description

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 AIInfrastructure 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.In this role, you will either remotely or onsite in some cases deploy the DDN AI solutions and work to customize this to the end user requirements.You will work with DDN internal teams, vendors and other partners as needed to successfully deploy these solutions.Key ResponsibilitiesServe as the primary technical point of contact for assigned strategic customers, that are deploying DDN AI solutionsWork with Pre-sales to interpret design considerations during solution deploymentDrive operational efficiency through automation, tooling, documentation, and repeatable deployment workflowsDevelop 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 infrastructureSupport AI/ML, data?intensive, and HPC workloads running at scale in on?prem, hybrid, and cloud?adjacent environmentsWork closely with customers to optimize the their AI applications to better work with DDN technologyRequired Qualifications5+ years of experience in a senior technical role deploying complex, customer?facing production systemsExperience administering and operating Lustre or similar parallel file systems in large?scale environmentsExperience with object storage and S3?compatible systemsStrong Linux systems knowledge, including performance tuning and troubleshootingSolid understanding of distributed storage architectures, networking fundamentals, and data movement at scaleProven ability to work directly with customers, communicate clearly, and build trusted technical relationshipsAbility to work effectively across cross?functional teams including Engineering, Product Management, Support, and Field ServicesPreferred QualificationsExperience with additional parallel file systems such as IBM Spectrum Scale or StorNextExperience developing and debugging automation using shell scripting, Python, Bash, or similar languagesStrong understanding of networking technologies including InfiniBand, Ethernet, TCP/IP, and routingKnowledge of NVAIE services (e.G., NIMs, NeMo, Triton, TensorRT/TensorRT?LLM, GPU Operator, licensing/NLS) and vector databases (e.G., Milvus)Familiarity with NAS and data


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