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Accountabilities:
- Design scalable storage architectures for edge and core GPU deployments, covering hyperconverged and disaggregated systems.
- Optimize storage for AI workloads: training, inference, and model distribution with high-performance data paths.
- Lead storage benchmarking, capacity planning, and incident response to ensure reliability and performance.
Requirements:
- Deep expertise in distributed storage systems in high-performance or AI environments.
- Hands-on experience with storage technologies like Weka, VAST Data, StorPool, NVMe, and Kubernetes integrations.
Why join us:
- Opportunity to shape a next-generation AI storage platform with significant architectural ownership.
- Remote-friendly work model across Europe with exposure to cutting-edge GPU and AI technologies.
Radian Arc
Radian Arc builds scalable storage architectures powering AI and GPU infrastructure across edge and core environments. They are a growing company with a remote-friendly work model and an inclusive environment focused on next-generation AI infrastructure.