AI Storage Architect for High-Performance GPU Cloud

Bitdeer (NASDAQ: BTDR); Austin (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Bitdeer Technologies Group is seeking a storage-focused engineer to own and operate AI training storage across US data centers. You will design parallel storage architectures, implement multi-tenant QoS, and optimize data paths for high-throughput AI workloads.

The role emphasizes hands-on deployment with WEKA/VAST Ceph or DDN/Lustre, Linux kernel tuning, and telemetry-driven operations to reduce incident MTTR and improve predictor accuracy for storage faults.

Qualifications

• 5+ years in enterprise or HPC storage operations.
• Hands-on deployment and operations experience with AI/ML workloads.
• Experience with WEKA, VAST Data, Ceph or DDN/Lustre.
• Strong Linux systems knowledge and kernel tuning.
• Proficiency in storage benchmarking and QoS implementation.

Responsibilities

• Deploy and operate parallel/distributed storage systems optimized for AI workloads.
• Implement multi-tenant storage isolation with per-tenant QoS, quotas, and access controls.
• Tune storage performance with fio, IOR, mdtest and maintain runbooks.
• Plan capacity aligned with GPU cluster growth and DR procedures.
• Instrument storage telemetry and feed AIOps signals for fault predictors.

Skills

HPC storage

AI/ML workloads

Linux systems

Storage perf tuning

Runbooks to code

Tools

WEKA

VAST Data

Ceph

DDN/Lustre

Job description

Bitdeer Technologies Group is seeking a storage-focused engineer to own and operate AI training storage across US data centers. You will design parallel storage architectures, implement multi-tenant QoS, and optimize data paths for high-throughput AI workloads.

The role emphasizes hands-on deployment with WEKA/VAST Ceph or DDN/Lustre, Linux kernel tuning, and telemetry-driven operations to reduce incident MTTR and improve predictor accuracy for storage faults.