DDN
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 • Data Storage • Machine Learning • Analytics • Enterprise AI
Senior Software Engineer - Infinia Tensor Interface
March 26
DDN
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 • Data Storage • Machine Learning • Analytics • Enterprise AI
📋 Description
• Develop a high-performance, distributed file system optimized for AI/ML workloads. • Build a storage control plane with both S3-compatible and POSIX-compliant interfaces. • Engineer intelligent data consistency and caching mechanisms. • Create integration points with popular AI frameworks. • Collaborate with AI researchers and customers to understand evolving storage requirements.
🎯 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 5+ years of relevant industry experience.
🏖️ Benefits
• Opportunity to be part of a leading AI data management company. • Work with passionate professionals. • Contribute to shaping the future of AI and data management. • Dynamic and driven team environment. • Open and inclusive culture.
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