Senior AI Storage Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Storage Infrastructure Engineer (Distributed Storage): Designing and maintaining high-performance storage systems for AI cloud infrastructure with an accent on CSI drivers, GPUDirect Storage (GDS), and RDMA optimizations. Focus on eliminating CPU bottlenecks, optimizing IOPS/latency for massive datasets, and scaling production HPC storage environments.
Location: Singapore, SG
Company
is a world-leading technology company specializing in Bitcoin mining and AI cloud services.
What you will do
- Design, deploy, and maintain CSI drivers for high-performance parallel file systems such as Weka, Lustre, DAOS, and VAST.
- Implement GPUDirect Storage (GDS) to enable direct memory access (DMA) between NVMe drives and GPU memory.
- Develop local NVMe caching strategies for rapid loading of massive model weights and datasets during distributed training.
- Optimize IOPS, throughput, and latency profiles across the entire containerized storage stack.
- Collaborate with GPU Systems & Fabric teams to ensure storage layer optimization for RDMA and high-speed interconnects (InfiniBand, RoCE).
- Define storage policies, quota management, and multi-tenancy isolation strategies within Kubernetes.
Requirements
- 5+ years of experience in distributed storage systems and high-performance file systems.
- Deep expertise in the Kubernetes CSI paradigm, including building volume plugins and storage operators.
- Strong hands-on experience with Linux OS block/file I/O and kernel-level performance tuning.
- Familiarity with high-throughput networking protocols (RDMA, InfiniBand, RoCE).
- Proven track record of operating and scaling large-scale storage environments in production or HPC settings.
- Experience with infrastructure automation tools like Terraform, Ansible, and CI/CD pipelines.
Culture & Benefits
- Inclusive and respectful environment with an open workspace and startup spirit.
- Opportunity to network with industrial pioneers and contribute to the future of the digital asset industry.
- High degree of personal accountability, autonomy, and fast growth opportunities.
- Attractive welfare benefits and developmental opportunities, including training and mentoring.
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