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Key Responsibilities:
- Lead the design and implementation of high-performance data movement pipelines using NVIDIA NIXL.
- Architect and drive integration of DDN Infinia with GPU-accelerated inference platforms.
- Own end-to-end optimization of I/O paths between GPU memory and storage.
Required Qualifications:
- 12+ years of experience in storage systems, distributed systems, or performance engineering.
- Deep expertise in distributed storage architectures (object storage, scalable file systems, or cloud-native storage platforms).
- Strong understanding of Linux I/O stack, filesystem internals, and storage protocols.
What You’ll Work On:
- Leading the evolution of storage systems into GPU-native data layers for AI inference.
- Building next-generation distributed AI infrastructure using NIXL and Infinia.
- Designing storage architectures for large-scale AI datasets and retrieval systems.
DataDirect Networks
DataDirect Networks (DDN) has been at the forefront of AI and high-performance data storage innovation for over two decades. DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence and is the global leader in AI and multi-cloud data management at scale.