Senior AI Storage Infrastructure Engineer

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

• 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.

• 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, with a deep understanding of POSIX compliance and file I/O semantics.
• Deep expertise in the Kubernetes CSI paradigm, including building or extending volume plugins and storage operators.
• 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 (e.g., Terraform, Ansible) and CI/CD pipelines
• Excellent technical communication skills, with the ability to influence cross-functional architectural decisions.
• Experience working in high-velocity, high-growth engineering environments is strongly preferred.

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.

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