Senior AI Storage Engineer - GPU-Accelerated Data Fabric

Bitdeer Group; San Jose, Austin (CA, TX); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Bitdeer is seeking a Senior AI Storage Infrastructure Engineer to build the critical data-delivery fabric of our AI-native NeoCloud. AI model training and inference are I/O intensive; you will architect high-performance storage solutions that eliminate bottlenecks and keep GPUs saturated with data.

You will design CSI drivers for parallel file systems, implement GPUDirect Storage and NVMe caching, optimize IOPS and latency, and coordinate with the GPU Systems & Fabric team to ensure

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in distributed storage systems and high-performance file systems.
• Deep expertise in the Kubernetes CSI paradigm.
• Strong hands-on experience with block/file I/O at the Linux OS level and kernel-level performance tuning.
• Familiarity with high-throughput networking protocols (RDMA, InfiniBand, RoCE) and how they interact with storage subsystems.
• Proven track record of operating, debugging, and scaling large-scale storage environments in production or HPC settings.
• Experience with infrastructure automation tools (Terraform, Ansible) and CI/CD pipelines.
• Excellent technical communication skills, with the ability to influence cross-functional architectural decisions.

Responsibilities

• Design, deploy, and maintain robust Container Storage Interface (CSI) drivers for high-performance parallel file systems (e.g., Weka, Lustre, DAOS, VAST).
• Architect and implement GPUDirect Storage (GDS) integrations to enable direct memory access (DMA) between NVMe drives and GPU memory, bypassing CPU bottlenecks.
• Develop and manage local NVMe caching strategies for rapid, low-latency loading of massive model weights and datasets during distributed training.
• Optimize IOPS, throughput, and latency profiles across the entire containerized storage stack, from the storage array to the container runtime.
• Collaborate with the GPU Systems & Fabric team to ensure the storage layer is fully optimized for RDMA and high-speed interconnects (InfiniBand, RoCE).
• Implement automated monitoring and alerting for storage performance, detecting and mitigating I/O contention or hardware degradation before it impacts production jobs.
• Define storage policies, quota management, and multi-tenancy isolation strategies within Kubernetes to ensure fair resource sharing for customer workloads.
• Mentor junior engineers and drive architectural design reviews to maintain high standards of reliability and performance across the infrastructure team.

Skills

Distributed storage

High-performance FS

Kubernetes CSI

Kernel tuning

RDMA networking

Terraform

Ansible

CI/CD

Communication

Education

Bachelor’s or Master’s degree in Computer Science or Electrical Engineering

Tools

Linux

CI/CD pipelines

Terraform

Ansible

Job description

Bitdeer is seeking a Senior AI Storage Infrastructure Engineer to build the critical data-delivery fabric of our AI-native NeoCloud. AI model training and inference are I/O intensive; you will architect high-performance storage solutions that eliminate bottlenecks and keep GPUs saturated with data.

You will design CSI drivers for parallel file systems, implement GPUDirect Storage and NVMe caching, optimize IOPS and latency, and coordinate with the GPU Systems & Fabric team to ensure