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D
DDN
Advisory Sales Engineer - Nvidia
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Based on California data
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What they do
A Sales Advisor provides customers with information on company products or services, assists in selecting products, and completes sales orders. Handles customer phone calls and emails, or meets with customers in retail settings. Adds information to customer database.
$65,304 / year median in California
-9% projected decline
Job Description
Overview Application About DDN DDN powers the world's most demanding data workloads—from AI research to drug discovery, autonomous vehicles to financial modeling. For over two decades, our massively parallel storage solutions have enabled breakthrough innovations across industries. Join us in building the infrastructure that makes the impossible possible. The Role As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems. You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle. What You'll Do Customer Engagement Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion Translate technical requirements into elegant, scalable storage solutions that exceed expectations Act as trusted technical advisor throughout the sales cycle Solution Design Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads Design for reliability, resilience, security, and scale—balancing performance with data protection Create BOMs, system architectures, and technical proposals for complex RFPs Conduct live demos, POCs, and performance benchmarking Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks Innovation & Growth Stay current on AI infrastructure and storage technology trends Collaborate with Product and Engineering teams using field insights Mentor team members and contribute to technical thought leadership Shape product direction based on customer needs What You Bring Technical Foundation (All Levels) Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems Knowledge of architectural patterns for reliability, resilience, security, and scale Understanding of storage and data protocols: