AI Storage Architect for High-Performance GPU Cloud

Bitdeer (NASDAQ: BTDR); San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer Technologies Group is seeking an experienced storage operations engineer to own and operate AI training storage across US data centers. You will deploy parallel storage systems, optimize checkpoints, and ensure scalable, fault-tolerant IO for 1,000-GPU workloads.

The role emphasizes automating SOPs into runbooks and feeding AIOps with actionable signals. You will collaborate with the platform team on storage fault predictors, telemetry, and remediation workflows, aiming to reduce MTTR

Qualifications

• 5+ years in enterprise or HPC storage operations, with AI/ML workload support
• Hands-on deployment with two of WEKA, VAST Data, Ceph, DDN/Lustre
• Strong understanding of AI training I/O patterns (checkpoints, dataset loading)
• Experience with high-performance storage networking (NFS over RDMA, NVMe-oF)
• Knowledge of GPU Direct Storage and RDMA data transfer
• Proficiency in storage benchmarking/tuning (fio, IOR, mdtest)
• Experience with multi-tenant storage isolation and QoS
• Strong Linux systems knowledge (kernel tuning, filesystem internals, block devices)
• Turn ops toil into ML signals; prior anomaly detector work is a plus
• Runbook-as-code mindset; SOPs executable by machine

Responsibilities

• Deploy and operate parallel/distributed storage systems (WEKA, VAST Data, Ceph, DDN/Lustre)
• Design storage architectures for AI workloads and checkpoint I/O bursts
• Configure per-tenant QoS, quotas, access controls; optimize GPU Direct Storage paths
• Manage storage networking and cluster-wide storage orchestration
• Tune storage performance: IOPS, throughput, latency with fio/IOR/mdtest; maintain runbooks

Skills

AI/ML storage workloads

WEKA

VAST Data

Ceph

DDN/Lustre

Linux systems

fio

IOR

mdtest

multi-tenant QoS

GPU Direct Storage

RDMA

Tools

fio

IOR

mdtest

NFS over RDMA

NVMe-oF

RDMA-based data transfer

Job description

Bitdeer Technologies Group is seeking an experienced storage operations engineer to own and operate AI training storage across US data centers. You will deploy parallel storage systems, optimize checkpoints, and ensure scalable, fault-tolerant IO for 1,000-GPU workloads.

The role emphasizes automating SOPs into runbooks and feeding AIOps with actionable signals. You will collaborate with the platform team on storage fault predictors, telemetry, and remediation workflows, aiming to reduce MTTR