Staff Storage Platform Engineer (AI Storage) - Radian Arc

Job summary

Radian Arc is seeking a Staff Storage Platform Engineer to design, build, and operate the AI storage layer for large-scale GPU infrastructure.

Qualifications

• Strong understanding of storage access patterns for distributed inference and training
• Experience designing storage platforms for large dataset ingestion and model artifact distribution
• Practical experience tuning storage architectures for checkpointing and high-concurrency inference
• Strong automation skills using Python and/or Bash
• Proven ability to lead complex technical initiatives across teams
• Strong systems-level thinking balancing performance, reliability, scalability, operability, and cost efficiency

Responsibilities

• Design scalable AI storage architectures for edge and core deployments
• Define storage strategies for distributed inference, fine-tuning, and training workloads
• Architect solutions across multiple storage models
• Define reference architectures and reusable patterns for storage platforms
• Evaluate trade-offs across throughput, latency, resilience, data locality, cost, and operability
• Influence the long-term storage roadmap
• Optimize storage throughput and latency for GPU-heavy clusters
• Design data locality strategies to minimize dataset movement
• Implement and maintain CSI drivers
• Integrate storage platforms with Kubernetes and orchestration systems
• Contribute to the design of exabyte-scale storage platforms
• Design storage architecture for distributed inference platforms
• Design high-performance data paths between GPU clusters and distributed storage
• Improve reliability, durability, and observability of the storage stack
• Lead end-to-end engineering delivery of storage infrastructure

Skills

Relocation