DDN

Senior Solutions Engineer

DDN

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Senior

Tech Stack

Cloud

About the role

  • Architect scalable AI/HPC solutions using DDN platforms across hybrid and cloud environments.
  • Enable partners (Accenture, HCL, Deloitte, Infosys, etc.) through labs, workshops, and certifications.
  • Promote DDN reference designs for AI Factory, Sovereign Cloud, and GPU data platforms.
  • Act as technical SME for alliance-led opportunities — supporting scoping, proposals, and PoCs.
  • Co-develop joint blueprints, benchmarks, and best-practice documentation.
  • Work cross-functionally with Sales, Marketing, R&D, and Partner Engineering to validate and promote integrated solutions (NVIDIA, AMD, Databricks, Snowflake, etc.).
  • Troubleshoot complex data infrastructure challenges to ensure optimal GPU utilization and TCO reduction.
  • Represent DDN at partner summits, conferences, and technical forums.

Requirements

  • 10+ years in solutions engineering, pre-sales, or consulting within AI, HPC, or data infrastructure.
  • Experience collaborating with or within GSIs (Accenture, Deloitte, TCS, Wipro, etc.).
  • Strong expertise in storage systems, parallel file systems (Lustre, GPFS), and GPU-accelerated workloads.
  • Familiarity with NVIDIA DGX, AMD Instinct, and major OEM ecosystems (HPE, Dell, Lenovo, Supermicro).
  • Knowledge of AI/ML pipelines and data management at scale.
  • Excellent communication and stakeholder influence skills.
  • Bachelor’s degree in CS, Engineering, or related field (Master’s preferred).
Benefits
  • Competitive pay with performance incentives.
  • Direct collaboration with global AI and cloud partners.
  • A culture focused on innovation, execution, and partner success.
  • Opportunity to impact AI infrastructure at Fortune 100 enterprises.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI solutions architectureHPC solutions architecturestorage systemsparallel file systemsGPU-accelerated workloadsAI/ML pipelinesdata management
Soft skills
communicationstakeholder influencecollaboration