
1001 - 5000 employees
Founded 1998
đ€ Artificial Intelligence
đ° $10M Funding Round on 2011-06
Artificial Intelligence âą Data Center and Cloud Computing âą High Performance Computing
DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.
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1001 - 5000 employees
Founded 1998
đ€ Artificial Intelligence
đ° $10M Funding Round on 2011-06
Artificial Intelligence âą Data Center and Cloud Computing âą High Performance Computing
DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.
âą Architect high-performance storage solutions for various customer needs âą Partner with customers to understand data challenges âą Translate technical requirements into scalable storage solutions âą Design storage for AI/ML training, HPC simulations, data analytics âą Conduct live demos, POCs, and performance benchmarking âą Stay current on technology trends and mentor team members
âą 0-3 years in pre-sales or solutions architecture âą Bachelor's in Computer Science, Engineering, or related field (or equivalent experience) âą Strong understanding of storage and data architectures: SAN, NAS, object storage âą Knowledge of architectural patterns for reliability, resilience, security, and scale âą Understanding of storage and data protocols: S3, POSIX, NFS, SMB âą Familiarity with network protocols: TCP/IP, InfiniBand, RDMA âą Ability to communicate technical concepts to both engineers and executives
âą Competitive salary âą Flexible working hours âą Professional development budget âą Home office setup allowance âą Global team events
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