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.
Artificial Intelligence β’ Data Storage β’ Machine Learning β’ Analytics β’ Enterprise AI
5 days ago
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.
Artificial Intelligence β’ Data Storage β’ Machine Learning β’ Analytics β’ Enterprise AI
β’ Develop a high-performance, distributed file system optimized for AI/ML workloads. β’ Build a storage control plane with S3-compatible and POSIX-compliant interfaces. β’ Engineer intelligent data consistency and caching mechanisms. β’ Create integration points with popular AI frameworks. β’ Design high-performance data access layers and specialized APIs. β’ Collaborate with AI researchers and customers on evolving storage requirements.
β’ Strong experience with both S3 API implementation and POSIX-compliant file systems. β’ Expertise in distributed storage systems supporting hybrid access patterns. β’ Track record of building high-throughput, low-latency data access solutions. β’ Experience optimizing storage systems for specialized workloads, especially AI/ML data patterns. β’ Proficiency in Go, Python, and infrastructure automation technologies. β’ Familiarity with Kubernetes-native storage solutions and cloud-native architectures. β’ Understanding of consistency challenges between object storage and file system semantics. β’ Bachelor's degree in Computer Science or related field with 5+ years of relevant industry experience.
β’ Opportunity to work in a leading AI technology company. β’ Dynamic and driven team environment. β’ Chance to contribute to innovative solutions in AI and data storage. β’ Participation in enriching projects across the company.
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