Staff Storage Platform Engineer (AI Storage) - Radian Arc

📋 Description

• Design scalable storage architectures for edge and core GPU deployments (StorPool, local NVMe
• Optimize storage for distributed AI workloads: training, fine-tuning, inference, data ingestion
• Build storage for inference platforms (e.g., NVIDIA Dynamo, llm-d); optimize model distribution and
• Engineer high-performance data paths (GPU Direct Storage, RDMA/RoCE, NVMe-oF, SPDK); tune across
• Integrate storage into Kubernetes/platform orchestration; CSI integrations; multi-tenant storage
• Contribute to distributed storage (S3-compatible object storage, distributed file systems, block

🎯 Requirements

• Distributed storage expertise in high-performance computing/AI environments.
• AI infrastructure experience: storage for large-scale AI training/fine-tuning/inference; data
• Deep AI storage knowledge: impact of workload characteristics on throughput/latency/data
• Hands-on storage tech: Weka, VAST Data, StorPool, local NVMe, S3/object/block storage.
• Linux I/O stack, storage hardware, NVMe, storage fabrics; troubleshooting across layers.
• Kubernetes storage integrations; CSI; containerized platforms.

🎁 Benefits

• Attractive compensation aligned with expertise.
• Foundational role shaping a next-gen AI storage platform.
• Architectural ownership and influence over long-term infrastructure strategy.
• Exposure to GPU, AI inference, distributed storage and high-performance data tech.
• Remote-friendly work model across Europe; diverse, international environment.
• Growth potential as the infrastructure organization expands.