AI Infrastructure Solutions Engineer

DDN; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

DDN is expanding our Enterprise AI offerings and seeks an AI Infrastructure Solutions Engineer to deploy our complete AI solutions, including NVIDIA AI Enterprise services, Milvus, and high-performance storage/networking fabrics.

You will serve as the technical lead for strategic customers, work with Pre-sales, and drive automation and tooling across DevOps-styled workflows to optimize AI applications on DDN technology.

Formación

• Experience deploying complex, customer-facing production systems in large environments.
• Strong knowledge of Lustre or similar parallel file systems and Object storage.
• Proven ability to work with customers and cross-functional teams.

Responsabilidades

• Serve as the primary technical point of contact for assigned strategic customers deploying DDN AI solutions.
• Collaborate with Pre-sales to interpret design considerations during solution deployment.
• Drive operational efficiency via automation, tooling, documentation, and repeatable deployment workflows.
• Develop and deploy scripts and tools to support customer environments (DevOps-focused).
• Support AI/ML, data-intensive, and HPC workloads at scale in on-prem, hybrid, and cloud-adjacent environments.

Conocimientos

Lustre administration

Linux systems

Object storage (S3-compatible)

Distributed storage architectures

Networking fundamentals

Customer engagement

Cross-functional collaboration

Herramientas

Shell scripting

Python

Bash

Descripción del empleo

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 clearly, and build trusted technical relationships
• Ability to work effectively across cross‑functional teams including Engineering, Product Management, Support, and Field Services

Preferred Qualifications

• Experience with additional parallel file systems such as IBM Spectrum Scale or StorNext
• Experience developing and debugging automation using shell scripting, Python, Bash, or similar languages

  Additional Information

  • Occasional physical tasks related to hardware setup may be required, with appropriate tools and support

  Why Join DDN

  • Work on real, production‑scale AI and HPC systems that power world‑class innovation
  • Influence product direction through direct customer engagement
  • Collaborate with highly skilled engineers across storage, networking, and distributed systems
  • Grow your career into senior technical leadership, architecture, or product‑facing roles