DDN is a global leader in AI data intelligence platforms, providing high-performance data management solutions designed to optimize and accelerate AI and computing tasks. With over two decades of experience, DDN specializes in delivering cutting-edge technology for data-intensive applications across various industries, including healthcare, financial services, and telecommunications. Their comprehensive solutions include state-of-the-art hardware and software systems that empower enterprises to effectively manage complex datasets and drive innovation through artificial intelligence.
Artificial Intelligence β’ Data Storage β’ Machine Learning β’ Analytics β’ Enterprise AI
1001 - 5000 employees
Founded 1998
π€ Artificial Intelligence
π³ Fintech
π° $10M Funding Round on 2011-06
Yesterday
DDN is a global leader in AI data intelligence platforms, providing high-performance data management solutions designed to optimize and accelerate AI and computing tasks. With over two decades of experience, DDN specializes in delivering cutting-edge technology for data-intensive applications across various industries, including healthcare, financial services, and telecommunications. Their comprehensive solutions include state-of-the-art hardware and software systems that empower enterprises to effectively manage complex datasets and drive innovation through artificial intelligence.
Artificial Intelligence β’ Data Storage β’ Machine Learning β’ Analytics β’ Enterprise AI
1001 - 5000 employees
Founded 1998
π€ Artificial Intelligence
π³ Fintech
π° $10M Funding Round on 2011-06
β’ Develop a high-performance, distributed file system optimized for AI/ML workloads β’ Build a storage control plane providing both 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 to reduce latency β’ Collaborate with AI researchers to understand storage requirements
β’ Strong experience with 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, particularly 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 8+ years of relevant experience
β’ Equal Opportunity/Affirmative Action employer β’ Consideration for employment without regard to characteristics protected by law β’ Opportunity to work across various areas of the company β’ Hands-on involvement and direct contributions to our mission β’ Engineering excellence at the heart of everything we do
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π€ Artificial Intelligence
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