
Senior AI Storage Infrastructure Engineer
BitDeer Technologies Group1 month ago
Singapore, SingaporeSenior
Responsibilities
- Design, deploy, and maintain Container Storage Interface drivers for high-performance parallel file systems.
- Architect and implement GPUDirect Storage integrations between NVMe drives and GPU memory.
- Develop local NVMe caching strategies for model weights and datasets used in distributed training.
- Optimize IOPS, throughput, and latency across the containerized storage stack.
- Collaborate with GPU Systems & Fabric teams to optimize storage for RDMA and high-speed interconnects.
- Implement automated monitoring and alerting for storage performance and hardware degradation.
- Define Kubernetes storage policies, quota management, and multi-tenancy isolation strategies.
- Mentor junior engineers and lead architectural design reviews.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience with distributed storage systems and high-performance file systems.
- Deep understanding of POSIX compliance and file I/O semantics.
- Expertise with the Kubernetes CSI paradigm, including volume plugins and storage operators.
- Hands-on experience with block and file I/O at the Linux OS level and kernel-level performance tuning.
- Familiarity with RDMA, InfiniBand, RoCE, and their interaction with storage subsystems.
- Experience operating, debugging, and scaling large-scale storage environments in production or HPC settings.
- Experience with Terraform, Ansible, and CI/CD pipelines.
- Excellent technical communication and cross-functional architectural decision-making skills.
- Experience in high-velocity, high-growth engineering environments is preferred.
Benefits
- Inclusive and diverse work environment with open workspaces and startup culture.
- Opportunity to contribute directly to digital asset and AI cloud infrastructure projects.
- Networking opportunities with industry pioneers and enthusiasts.
- Autonomy, personal accountability, fast growth, and learning opportunities.
- Training, mentoring, welfare benefits, and developmental opportunities.