Senior Sales Engineer

Responsibilities

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

Preferred

• Ability to translate technical complexity into business value
• Thrive in fast-evolving technology environments
• 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.

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 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
• Collaborative team player with integrity and empathy

Diverse Backgrounds Welcome

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