Note: The job is a remote job and is open to candidates in USA. DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation. The role involves architecting high-performance storage solutions for customers in various industries, translating complex requirements into scalable solutions, and acting as a trusted advisor throughout the sales cycle.
Responsibilities
- 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
Skills
- 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
- 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
- Success managing complex technical sales cycles
- 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
- Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives
- Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable
- Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful
- Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively
- Experience with AI/ML infrastructure, HPC, or high-performance workloads
Company Overview
DDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. It was founded in 1998, and is headquartered in Chatsworth, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.ddn.com.Company H1B Sponsorship
DDN has a track record of offering H1B sponsorships, with 3 in 2026, 5 in 2025, 3 in 2024, 2 in 2023, 4 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.