AI Storage Solutions Expert
Bitdeer is a NASDAQ-listed (BTDR) high-performance computing and Bitcoin mining company headquartered in Singapore. It provides end-to-end Bitcoin mining solutions (mining hardware like SEALMINER, Minerbase containers, cloud mining, hosting, and mining farm/data center operations) as well as AI Cloud services offering GPU compute (NVIDIA GB200 NVL72, B200, H200, H100) for AI training and deployment. Its customers range from individual and institutional Bitcoin miners to enterprises and developers needing scalable AI/ML compute infrastructure.
Funding history
Investors
About Bitdeer
Bitdeer Technologies Group is a NASDAQ-listed (ticker: BTDR) technology company headquartered in Singapore that describes itself as a "world-leading" high-performance computing platform and Bitcoin mining services provider. The company is vertically integrated across the value chain, spanning IC design and hardware manufacturing (its own SEALMINER ASIC miners and Minerbase mobile cooling containers), infrastructure construction and cloud mining, and artificial intelligence/high-performance computing. Bitdeer handles the full range of mining-related processes for its customers, including equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations, and offers institutional services, a hash rate market, and a miner rights trading marketplace via its mobile apps (Bitdeer App and Minerplus App). Since 2013 Bitdeer has built more than 30 data centers globally and currently operates 9 large-scale data centers (including one of North America's largest) with roughly 3GW of diversified energy capacity and tens of exahashes of managed hash rate, with major operations in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. Since 2023 it has also been expanding a global AI infrastructure business (Bitdeer AI Cloud), powered by thousands of NVIDIA GPUs (including GB200 NVL72 and B200, with GB300 NVL72 and B300 planned), offering turnkey AI datacenter solutions and GPU cloud compute for AI training and deployment starting at around $2/hour. Bitdeer serves both individual/retail Bitcoin miners and institutional clients, as well as AI developers and enterprises seeking scalable, energy-efficient compute.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You deploy and operate parallel and distributed storage systems for AI training and inference across US data centers. You design AI-optimized storage architectures, implement tenant isolation and QoS, manage high-performance storage networking, tune performance, plan capacity, manage firmware and migrations, and instrument telemetry for storage-fault prediction and automated remediation.
Requirements
- 5+ years in enterprise or HPC storage operations
- At least 2 years supporting AI/ML workloads
- Hands-on experience with at least two of WEKA, VAST Data, Ceph, or DDN/Lustre
- Understanding of AI training I/O patterns
- Experience with NFS over RDMA and NVMe-oF
- Knowledge of GPU Direct Storage and RDMA-based data transfer
- Proficiency with fio, IOR, and mdtest
- Experience implementing multi-tenant storage isolation and QoS
- Strong Linux systems knowledge
- Experience with storage or I/O telemetry anomaly detection, or ability to define required labels and features
- Runbook-as-code mindset
Responsibilities
- Deploy and operate parallel and distributed storage systems
- Design storage architectures for checkpoint I/O bursts, sequential dataset reads, and inference KV caches
- Implement multi-tenant storage isolation with QoS, quotas, and access controls
- Configure GPU Direct Storage
- Deploy and manage NFS over RDMA, NVMe-oF, and high-speed storage fabrics
- Manage Nvidia CMX for cluster-wide storage orchestration
- Diagnose and tune storage performance using fio, IOR, and mdtest
- Maintain failure-mode runbooks
- Plan storage capacity for GPU cluster growth and customer workloads
- Manage firmware, data migration, and disaster recovery procedures
- Instrument storage telemetry for metrics, logs, and traces
- Define signals and labels for storage-fault prediction
- Convert incidents and SOPs into automated remediation