Senior AI Storage Infrastructure Engineer
Bitdeer Technologies Group is a technology company providing Bitcoin mining solutions, mining hardware, data-center infrastructure, and AI cloud services. It serves individual, institutional, and enterprise customers globally.
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About Bitdeer Technologies Group
Bitdeer provides vertically integrated Bitcoin mining and high-performance computing services. Its operations include mining equipment procurement and manufacturing, datacenter design and construction, equipment management, daily mining operations, cloud mining, and mining-related services. The company also offers AI cloud infrastructure and high-performance computing powered by NVIDIA GPUs for AI and machine-learning workloads, serving customers across global markets.
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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