Senior Sales Engineering

About DDNDDN 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 RoleAs 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 DoCustomer EngagementPartner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusionTranslate technical requirements into elegant, scalable storage solutions that exceed expectationsAct as trusted technical advisor throughout the sales cycleSolution DesignArchitect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloadsDesign for reliability, resilience, security, and scale—balancing performance with data protectionCreate BOMs, system architectures, and technical proposals for complex RFPsConduct live demos, POCs, and performance benchmarkingIntegrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworksInnovation & GrowthStay current on AI infrastructure and storage technology trendsCollaborate with Product and Engineering teams using field insightsMentor team members and contribute to technical thought leadershipShape product direction based on customer needsWhat You BringTechnical Foundation (All Levels)Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systemsKnowledge of architectural patterns for reliability, resilience, security, and scaleUnderstanding of storage and data protocols: S3, POSIX, NFS, SMBFamiliarity with network protocols: TCP/IP, InfiniBand, RDMACuriosity about massively parallel technologies (Lustre, GPFS, Exascaler)Aptitude for AI workloads and how storage enables AI innovationAbility to communicate technical concepts to both engineers and executivesEntry Level (0-3 years)Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)Exposure to storage/systems through coursework, internships, or projectsStrong analytical and problem-solving skillsCustomer-facing communication skillsExperienced (3+ years)3-8+ years in pre-sales, solutions architecture, or technical consultingProven track record designing storage/infrastructure solutionsHands-on experience with enterprise storage systemsExperience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)Success managing complex technical sales cyclesWhat Sets You ApartGenuine curiosity about AI and its impact across industriesOwnership mindset—you solve problems until they're solvedAbility to translate technical complexity into business valueThrive in fast-evolving technology environmentsCollaborative team player with integrity and empathyDiverse Backgrounds Welcome: Whether you're coming from enterprise storage vendors (Weka, VAST, NetApp, Pure), research computing (university HPC, national labs), or infrastructure roles (cloud architects, platform engineers), your experience translates to this role. Technical depth + customer focus matter more than your starting point.Why DDNImpactPower cancer research, autonomous vehicles, and AI breakthroughsWork on infrastructure enabling discoveries that change the worldSee direct results from your designsGrowthMaster AI infrastructure, parallel computing, and next-gen storageLearn from world-class engineers and architectsClear career progression: SE Senior SE Principal ArchitectContinuous learning: training, certifications, conferencesTeam & Culture20+ years leading storage innovationTechnical excellence and customer obsessionCompetitive compensation: base, bonuses, stock options, benefitsFlexible work arrangementsIndustries We ServeFinancial Services: High-frequency trading, risk modeling, real-time analyticsPharmaceuticals: Genomics sequencing, drug discovery, clinical researchEducation & Research: University HPC, AI research, climate modeling, scientific computingPhysical AI & Robotics: Autonomous vehicles, robotic systems, sensor data processingCompensation Range: $250K - $300KLocationSanta Clara OfficeEmployment TypeFull timeLocation TypeHybridDepartmentDepartmentGTMSalesSales EngineeringCompensationOn Target Earnings $250K – $300K • Offers Equity • Offers Commission