Senior AI Storage Infrastructure Engineer

Bitdeer is a technology company providing Bitcoin mining solutions.

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Maintainer signals as of 9/25/2026

Singapore, SG
About Bitdeer

Bitdeer provides full-spectrum Bitcoin mining and high-performance computing solutions, including SEALMINER mining equipment, Minerbase cooling containers, cloud mining, co-mining, mining management applications, mining rights marketplaces, and large-scale data center operations. The company also offers AI cloud infrastructure with GPU computing, model training and deployment capabilities, and turnkey AI data center solutions for enterprise customers and developers. Bitdeer is headquartered in Singapore and operates globally.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will architect the storage data-delivery fabric for intensive AI training and inference workloads. You will develop CSI drivers, integrate GPUDirect Storage, manage NVMe caching, tune I/O performance, optimize RDMA connectivity, implement storage monitoring and quotas, and enforce multi-tenant resource isolation.

Requirements

  • Bachelor’s or Master’s degree in Computer Science Electrical Engineering or a related field
  • 5+ years of experience with distributed storage and high-performance file systems
  • Understanding of POSIX compliance and file I/O semantics
  • Deep expertise in Kubernetes CSI including volume plugins and storage operators
  • Experience with Linux block and file I/O and kernel performance tuning
  • Familiarity with RDMA InfiniBand and RoCE
  • Experience operating debugging and scaling production or HPC storage environments
  • Experience with Terraform Ansible and CI/CD pipelines
  • Strong technical communication skills

Responsibilities

  • Design and maintain CSI drivers for high-performance parallel file systems
  • Implement GPUDirect Storage integrations
  • Develop local NVMe caching strategies for models and datasets
  • Optimize IOPS throughput and latency across the storage stack
  • Integrate storage with RDMA InfiniBand and RoCE networks
  • Implement storage performance monitoring and alerting
  • Define storage policies quotas and Kubernetes multi-tenancy isolation
  • Mentor engineers and lead architectural design reviews