Senior AI Storage Infrastructure Engineer

🔥 0 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 10%

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Bitdeer Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🏗️ Construction

💰 Post-IPO Equity on 2023-05

Consulting • Logistics • Construction

Bitdeer Group is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders and suppliers of hash rate, offering specialized mining infrastructure and high-quality hash rate sharing products. Founded by cryptocurrency pioneer Jihan Wu and led by CEO Matt Linghui Kong, the company is headquartered in Singapore with mining datacenters in the United States, Norway, and Bhutan. Bitdeer is committed to providing comprehensive computing solutions, including cloud services and AI capabilities, while emphasizing dedication, authenticity, and trustworthiness in its mission to be the most reliable provider in the industry.

📋 Description

• Design, deploy, and maintain CSI drivers for high-performance parallel file systems such as Weka, Lustre, DAOS, and VAST • Architect and implement GPUDirect Storage integrations for DMA between NVMe drives and GPU memory • Develop and manage local NVMe caching strategies for model weights and datasets during distributed training • Optimize IOPS, throughput, and latency across the containerized storage stack • Collaborate with the GPU Systems & Fabric team to optimize storage for RDMA and high-speed interconnects • Implement automated monitoring and alerting for storage performance and mitigate I/O contention or hardware degradation • Define storage policies, quota management, and Kubernetes 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 in distributed storage systems and high-performance file systems • 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 RDMA, InfiniBand, and RoCE and their interaction with storage subsystems • Proven track record of operating, debugging, and scaling large-scale storage environments in production or HPC settings • Experience with Terraform, Ansible, and CI/CD pipelines • Excellent technical communication skills and ability to influence cross-functional architectural decisions • Experience in high-velocity, high-growth engineering environments strongly preferred

🏖️ Benefits

• Equal employment opportunities and non-discrimination protections in accordance with country, state, and local laws