DDN
Senior Sales Engineer - US Federal
RemoteUnited States only
- Role
- Sales
- Experience
- Senior
- Employment
- Full-time
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior customer-facing sales engineer for US Federal storage/infrastructure deals. Needs strong storage architecture knowledge across SAN, NAS, object storage, parallel file systems, protocols like S3/NFS/SMB, and ability to design AI/ML, HPC, GPU and Kubernetes-integrated solutions.
Core skills
Storage architectureEnterprise storage systems
Required skills
SANNASObject storageParallel file systemsS3POSIXNFSSMBTCP/IPInfiniBandRDMA
Optional skills
LustreGPFSExascaler
As a Senior 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: 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
Entry Level (0-3 years)
- Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
- Exposure to storage/systems through coursework, internships, or projects
- Strong analytical and problem-solving skills
- Customer-facing communication skills
Experienced (3+ years)
- 3-8+ years in pre-sales, solutions architecture, or technical consulting
- Proven track record designing storage/infrastructure solutions
- Hands-on experience with enterprise storage systems
- Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
- Success managing complex technical sales cycles
What Sets You Apart
- Genuine curiosity about AI and its impact across industries
- Ownership mindset—you solve problems until they're solved
- Ability to translate technical complexity into business value
- Thrive in fast-evolving technology environments
- Collaborative team player with integrity and empathy
What you'll do
- Partner with customers to understand critical data challenges such as high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
- Translate technical requirements into scalable storage solutions
- 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 while 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
What they require
- 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 such as Lustre, GPFS, Exascaler
- Aptitude for AI workloads and how storage enables AI innovation
- Ability to communicate technical concepts to both engineers and executives
- Bachelor's in Computer Science, Engineering, or related field, or equivalent experience
- Exposure to storage/systems through coursework, internships, or projects
- Strong analytical and problem-solving skills
- Customer-facing communication skills
- 3-8+ years in pre-sales, solutions architecture, or technical consulting
- Proven track record designing storage/infrastructure solutions
- Hands-on experience with enterprise storage systems
- Preferred: Experience with AI/ML infrastructure, HPC, or high-performance workloads
- Success managing complex technical sales cycles
- Genuine curiosity about AI and its impact across industries
- Ownership mindset
- Ability to translate technical complexity into business value
- Thrive in fast-evolving technology environments
- Collaborative team player with integrity and empathy
DDN is positioned as NVIDIA’s storage and data intelligence partner for AI factories and the NVIDIA AI Data Platform.
Data Storageddnet.org/
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