Senior AI Storage Infrastructure Engineer

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

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

• →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.

• →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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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

#LI-ST1

• 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.