GPU Cloud Storage Engineer — Multi-Region AI I/O

Bitdeer (NASDAQ: BTDR); Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Bitdeer Technologies Group is seeking an experienced Storage/Platform Engineer to design and integrate distributed file systems for the GPU cloud, focusing on high-throughput AI training and inference workloads.

You will own end-to-end storage integration, tune performance, and architect multi-region data delivery. Advanced Linux skills and scripting are essential, with HPC/AI storage experience a strong plus.

Qualifications

• 3+ years (Senior 6+) in storage engineering or platform infrastructure.
• Strong understanding of distributed file system internals — data/metadata separation, replication, consistency models.
• Proven experience integrating and operating distributed storage in production (Ceph, Lustre, GPFS/Spectrum Scale, BeeGFS, JuiceFS, MinIO).
• Performance tuning for high-throughput/parallel I/O; familiarity with NVMe, RDMA/RoCE storage networking, and caching is a strong plus.
• Strong Linux systems depth and automation skills (Python/Go, CI/CD).
• HPC/AI storage or multi-region storage experience a strong plus.

Responsibilities

• Design and integrate distributed/parallel file systems (Ceph, Lustre, GPFS/Spectrum Scale, BeeGFS, JuiceFS) into the GPU cloud, optimized for AI training/inference I/O patterns.
• Own end-to-end distributed-storage integration: provisioning, mounting, multi-tenant isolation, quota, and lifecycle within the platform.
• Tune storage throughput and latency for large-scale parallel access; benchmark across GPU SKUs and workloads.
• Architect multi-region storage: data locality, replication/consistency, durability, and cross-region access.
• Own golden images, templates, GPU drivers/CUDA, and the container/image registry, including versioned release and multi-region distribution.
• Build monitoring, capacity planning, and runbooks; eliminate single points of failure.

Skills

Distributed storage

Linux systems

Python/Go scripting

CI/CD automation

Tools

Ceph

Lustre

GPFS/Spectrum Scale

BeeGFS

JuiceFS

MinIO

NVMe

RDMA

Job description

Bitdeer Technologies Group is seeking an experienced Storage/Platform Engineer to design and integrate distributed file systems for the GPU cloud, focusing on high-throughput AI training and inference workloads.

You will own end-to-end storage integration, tune performance, and architect multi-region data delivery. Advanced Linux skills and scripting are essential, with HPC/AI storage experience a strong plus.