AI Storage Solutions Architect — Pre-Sales & POCs

DDN

United States

Remote

USD 110,000 - 170,000

Full time

14 days+
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Job summary

DDN is seeking a Sales Engineer to design and present high-performance storage solutions across finance, pharmaceuticals, education, and AI workloads. You will translate complex customer requirements into scalable architectures, and demonstrate capabilities through POCs and benchmarks while serving as a trusted advisor.

Responsibilities include designing storage for AI/ML, HPC, data analytics, and GPU-accelerated workloads; creating proposals for RFPs; and collaborating with Product and

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience.
  • Experience describing storage architectures and data protocols clearly.
  • Exposure to AI/ML workloads and enterprise storage systems is a plus.

Responsibilities

  • Partner with customers to understand data challenges in finance, pharma, education, and AI workloads.
  • Translate requirements into scalable storage solutions that exceed expectations.
  • Act as trusted advisor; lead demos, POCs, and performance benchmarking.
  • Create BOMs, architectures, and proposals for complex RFPs.
  • Collaborate with Product and Engineering; mentor teammates and drive thought leadership.

Skills

Storage architectures
Data protocols
Network protocols
Parallel file systems
AI workloads
Technical communication
Solutions architecture

Education

BSc in CS/Engineering

Tools

GPU clusters
Kubernetes
Cloud platforms
AI frameworks

Job description

DDN is seeking a Sales Engineer to design and present high-performance storage solutions across finance, pharmaceuticals, education, and AI workloads. You will translate complex customer requirements into scalable architectures, and demonstrate capabilities through POCs and benchmarks while serving as a trusted advisor.

Responsibilities include designing storage for AI/ML, HPC, data analytics, and GPU-accelerated workloads; creating proposals for RFPs; and collaborating with Product and

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