Staff Storage Platform Engineer (AI Storage) - Radian Arc

📋 Description

• Design scalable storage architectures for edge/core GPU deployments (StorPool, local NVMe
• Optimize storage for distributed AI workloads (training, fine-tuning, inference).
• Build storage to support distributed inference platforms (e.g., NVIDIA Dynamo, llm-d).
• Engineer high-performance data paths (GPU Direct Storage, RDMA/RoCE, NVMe-oF, SPDK).
• Integrate storage into Kubernetes and platform orchestration with CSI and multi-tenant support.
• Lead end-to-end storage initiatives and drive platform-level architectural decisions.

🎯 Requirements

• Distributed storage expertise in high-performance/AI environments.
• AI infrastructure experience for large-scale training/inference with dataset distribution and
• Deep AI storage knowledge affecting throughput, latency, and data locality.
• Hands-on with Weka, VAST Data, StorPool, local NVMe, S3-compatible/object/block storage.
• Linux/storage stack, NVMe devices, storage fabrics, high-performance data paths.
• Kubernetes CSI integrations and storage in containerized platforms.

🎁 Benefits

• Attractive compensation aligned with experience.
• Foundational role shaping a next-gen AI storage platform.
• Significant architectural ownership and influence over infrastructure strategy.
• Exposure to GPU, AI inference, and high-performance storage tech.
• Remote-friendly work model across Europe.
• Opportunities for career growth in a fast-growing scale-up.