DDN
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 • Data Storage • Machine Learning • Analytics • Enterprise AI
Staff Software Engineer - Infinia Tensor Interface
5 days ago
DDN
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 • Data Storage • Machine Learning • Analytics • Enterprise AI
📋 Description
• Design and implement a storage platform with both S3-compatible APIs and POSIX-compliant file system access optimized for AI/ML workloads • Develop a storage SDK that abstracts between object and file access patterns • Engineer intelligent data consistency and caching mechanisms • Build scalable storage services capable of handling exabyte-scale deployments • Create integration points with popular AI frameworks for seamless data pipelines • Design and implement high-performance data access layers • Pioneer innovative storage acceleration techniques • Collaborate with AI researchers and customers
🎯 Requirements
• Strong experience with both S3 API implementation and POSIX-compliant file systems • Expertise in distributed storage systems that support hybrid access patterns • Track record of building high-throughput, low-latency data access solutions • Experience optimizing storage systems for specialized workloads, particularly AI/ML data patterns • Proficiency in Go, Python, and infrastructure automation technologies • Familiarity with Kubernetes-native storage solutions and cloud-native architectures • Understanding of consistency challenges between object storage and file system semantics • Bachelor's degree in Computer Science or related field with 8+ years of relevant industry experience
🏖️ Benefits
• Competitive salary • Health, dental, and vision insurance • 401(k) with company match • Flexible work hours and remote work options • Paid time off and holidays
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