Sales Engineer – US Fed
DDN
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- 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
- 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
- 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
Requirements
- 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: S3, POSIX, NFS, SMB
- Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
- Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)
- Aptitude for AI workloads and how storage enables AI innovation
- Ability to communicate technical concepts to both engineers and executives
- 0-3 years experience for Entry Level or 3-8+ years for Experienced
- Bachelor's in Computer Science, Engineering, or related field (or equivalent experience) for Entry Level
- Exposure to storage/systems through coursework, internships, or projects for Entry Level
- Strong analytical and problem-solving skills for Entry Level
- Customer-facing communication skills for Entry Level
- Proven track record designing storage/infrastructure solutions for Experienced.
- Hands-on experience with enterprise storage systems for Experienced
- Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred) for Experienced
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
storage architecturesdata architecturesAI workloadsHPC simulationsdata analyticsGPU-accelerated workloadsBOMsperformance benchmarkingstorage protocolsnetwork protocols
Soft Skills
communication skillsanalytical skillsproblem-solving skillsmentoringcustomer-facing skillstechnical thought leadership