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DDN

Senior Sales Engineer

Santa Clara Office

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hirly's read of this role

Role family
Sales
Seniority
Senior
Stated salary
$250,000 – $300,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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)

Experience with parallel technologies (Lustre, GPFS, Exascaler )

Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems

Knowledge of Storage 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

Aptitude for AI workloads and how storage enables AI innovation

Ability to communicate technical concepts to both engineers and executives

Strong analytical and problem-solving skills

Customer-facing communication skills

Experienced (8+ years)

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

Diverse Backgrounds Welcome: Whether you're coming from enterprise storage vendors, research computing, or infrastructure roles (cloud architects, storage Administrator, platform engineers), your experience translates to this role. Technical depth + customer focus matter more than your starting point.

Why DDN

Impact

Power cancer research, autonomous vehicles, and AI breakthroughs

Work on infrastructure enabling discoveries that change the world

See direct results from your designs

Growth

Master AI infrastructure, parallel computing, and next-gen storage

Learn from world-class engineers and architects

Clear career progression: SE → Senior SE → Principal Architect

Continuous learning: training, certifications, conferences

Team & Culture

20+ years leading storage innovation

Technical excellence and customer obsession

Competitive compensation: base, bonuses, stock options, benefits

Flexible work arrangements

Industries We Serve

Financial Services: High-frequency trading, risk modeling, real-time analytics

Pharmaceuticals: Genomics sequencing, drug discovery, clinical research

Education & Research: University HPC, AI research, climate modeling, scientific computing

Physical AI & Robotics: Autonomous vehicles, robotic systems, sensor data processing

Original posting on DDN's site ↗

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