Staff Storage Platform Engineer (AI Storage) - Radian Arc

📋 Description

• Design scalable storage architectures for edge and core GPU deployments.
• Optimize storage for distributed training, fine-tuning, and inference workloads.
• Design storage architectures supporting inference platforms and KV-cache persistence.
• Engineer high-performance storage-to-GPU data paths (GPU Direct Storage, RDMA/RoCE, NVMe-oF, SPDK).
• Integrate block, object, and shared file storage into Kubernetes and CSI.
• Lead end-to-end storage initiatives from architecture to production rollout.

🎯 Requirements

• Distributed storage expertise in high-performance computing, AI, or similar environments.
• AI infrastructure experience for large-scale AI training, distribution, and high-concurrency access.
• Deep AI storage knowledge affecting throughput, latency, and data locality.
• Hands-on storage tech: Weka, VAST Data, StorPool, local NVMe, distributed filesystems
• Linux I/O stack, NVMe devices, networking, and high-performance data paths.
• Kubernetes storage integrations, particularly CSI.

🎁 Benefits

• Attractive compensation package aligned with expertise.
• Foundational role shaping a next-generation AI storage platform.
• Significant architectural ownership and influence over long-term infra strategy.
• Exposure to GPU, AI inference, distributed storage, and high-performance tech.
• Remote-friendly work model across Europe.
• Opportunity to join a fast-growing scale-up with ambitious tech mission.