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DDN

Advisory Sales Engineer - Nvidia

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About this role

DDN seeks a Sales Engineer to design and architect high-performance storage solutions for demanding AI, HPC, and data-intensive workloads. You'll partner with customers across finance, pharma, and research to translate complex requirements into scalable storage systems, conduct POCs and benchmarks, and serve as a trusted technical advisor throughout the sales cycle.

What you'll do

  • Partner with customers to understand critical data challenges in trading, genomics, AI training, and autonomous systems
  • Architect storage solutions for AI/ML, HPC simulations, and GPU-accelerated workloads with emphasis on performance and reliability
  • Design BOMs, system architectures, and technical proposals for complex RFPs and integrate with GPU clusters and cloud platforms
  • Conduct live demos, POCs, and performance benchmarking to validate solution capabilities
  • Collaborate with Product and Engineering teams using field insights to shape product direction
  • Mentor team members and contribute to technical thought leadership on AI infrastructure trends

What they're looking for

  • Storage architectures (SAN, NAS, object storage, parallel file systems like Lustre/GPFS)
  • Storage protocols (S3, POSIX, NFS, SMB) and network protocols (TCP/IP, InfiniBand, RDMA)
  • AI/ML workload optimization and understanding of GPU-accelerated computing
  • System design for reliability, resilience, security, and scalability
  • Kubernetes and cloud platform integration
  • Technical communication with engineers and executives
  • Problem-solving and analytical thinking
  • RFP response and solution architecture documentation
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Likely interview questions

  • Walk us through how you would architect a storage solution for a high-frequency trading system that requires sub-millisecond latency and fault tolerance.
  • Describe your experience with parallel file systems like Lustre or GPFS—what performance characteristics do they offer for AI training workloads?
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