Senior Storage Engineer

Responsibilities

• Define, architect, and implement Hydra Host’s first production storage platform tailored for bare-metal GPU clusters and AI/HPC workloads.
• Lead technical decisions regarding storage stack design, from hardware infrastructure to parallel file system orchestration and performance tuning.
• Select and maintain storage solutions spanning block (NVMe, SAN, Ceph) and object storage (S3-compatible) layers.
• Design for high-throughput, low-latency access to support large datasets and rapid checkpointing for distributed AI training.
• Integrate and optimize parallel file systems such as Lustre, BeeGFS, Spectrum Scale, or WekaIO.
• Develop automation, observability, and management tooling to ensure reliability and scalability.
• Collaborate cross-functionally with GPU, HPC, and platform engineering teams to integrate storage with compute and network layers.

Requirements

• 8+ years of hands-on experience designing and implementing high-performance storage systems for HPC, AI, or bare-metal cloud environments.
• Proven track record of building storage infrastructure from scratch.
• Deep expertise in block storage (NVMe, SAN, Ceph) and object storage (S3, MinIO, Ceph Object Gateway).
• Strong background in parallel file systems (WekaIO, BeeGFS, Lustre, or Spectrum Scale).
• Solid foundation in Linux systems engineering, automation, and scripting for distributed environments.
• Familiarity with BMC, Redfish APIs, and OEM server firmware for bare-metal management.
• Deep understanding of AI/ML data pipelines, including model checkpointing and data locality.

Preferred Qualifications

• Experience building storage solutions specifically for large-scale GPU or HPC infrastructure.
• History of technical leadership, mentorship, or owning a product roadmap.
• Experience managing vendor relationships and negotiating hardware/software contracts.
• Contributions to open-source HPC or storage projects (e.g., Ceph, Lustre, BeeGFS).

About the Company

Hydra Host is a Founders Fund-backed NVIDIA cloud partner building the infrastructure platform that powers AI at scale. Through our Brokkr platform, we connect high-performance GPU data centers with research labs, enterprises, and developer platforms, enabling scalable, high-performance access to next-generation NVIDIA compute.