GPU Cloud Storage Engineer – Multi-Region & Distributed FS

Bitdeer Technologies Group; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Bitdeer Technologies Group seeks an experienced storage/infra engineer to design and integrate distributed file systems for a GPU cloud at scale. You will own end-to-end storage provisioning, isolation, and performance tuning for AI training and inference workloads.

You will also own images, drivers, and container registry distribution across regions, and collaborate with compute, network, and control-plane teams to ensure reliability and scalability.

Qualifications

• 3+ years (Senior 6+) in storage engineering or platform infrastructure.
• Strong understanding of distributed file system internals - data/metadata separation, replication, consistency models, POSIX vs object semantics.
• 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 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 / control plane.
• 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 (failure domains), 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.
• Partner with Compute (delivery), Network (storage fabric / RDMA), and Control Plane (provisioning / quota) teams.

Skills

Distributed FS

Python/Go

CI/CD

NVMe RDMA

Multi-region storage

Linux depth

Tools

Ceph

Lustre

GPFS/Spectrum Scale

BeeGFS

JuiceFS

MinIO

Job description

Bitdeer Technologies Group seeks an experienced storage/infra engineer to design and integrate distributed file systems for a GPU cloud at scale. You will own end-to-end storage provisioning, isolation, and performance tuning for AI training and inference workloads.

You will also own images, drivers, and container registry distribution across regions, and collaborate with compute, network, and control-plane teams to ensure reliability and scalability.