Senior Storage Engineer

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🌐 United States, United Kingdom – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

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Runware

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔌 API

📱 Media

Artificial Intelligence • API • Media

Runware is a flexible generative AI platform that specializes in high-quality media creation for images and videos through an affordable and fast API. It is capable of advanced tasks such as image generation, video inference, upscaling, and background removal, making it an essential tool for developers seeking to enhance their projects with AI technology. Powered by a custom Sonic Inference Engine™ and renewable energy, Runware ensures quick and efficient media generation without requiring complex infrastructure or machine learning expertise.

📋 Description

• Own end-to-end storage architecture for the fleet, including durable object storage, per-pod high-throughput storage, node-local NVMe cache, replication and placement across the US and Europe • Design and build the model distribution path, including chunking, deduplication, prefetching, pinning and pod working-set warmup • Profile and reduce model load latency from disk to GPU memory • Optimize the kernel, file system, NVMe-oF or RDMA transport, GPUDirect Storage and inference-engine loader • Select, benchmark and operate parallel/distributed file systems, object storage, NVMe drives, enclosures and management software • Validate storage choices on company hardware before pod deployment • Own capacity planning, monitoring, alerting, drive health, failure prediction, rebuilds, backup, recovery and storage-layer on-call • Create documented, automated storage provisioning and validation playbooks for new 1 MW pods • Partner with inference engine, platform and hardware engineering teams, storage and NVMe vendors, and site deployment teams • Use LLM-based agents to automate benchmarks, runbooks, triage and tooling • Own data residency and operational storage security, including encryption at rest, access control, retention and in-country placement

🎯 Requirements

• 8+ years in storage or systems engineering, including several years designing and running storage at a company operating its own hardware at scale • Track record of building storage systems from design through petabytes in production • Deep, current, hands-on Linux storage expertise, including the block layer, io_uring, NVMe queues, XFS, ext4, ZFS, page cache and I/O analysis tools • Production experience with at least one parallel or distributed file system such as Lustre, WEKA, VAST, GPFS or Ceph • Experience with S3-compatible object storage at petabyte scale • Strong understanding of NVMe, NVMe-oF, RDMA transports and storage networking • Fluent in a systems language: Go, Rust or C/C++ • Fluent in Python • Experience writing tooling, benchmarks and automation • Daily use of AI for scripting, benchmarking, analysis, documentation and debugging • Ability to own outcomes in a fast-moving, ambiguous environment and make decisions with incomplete information • Ability to travel to sites in the US and Europe as needed

🏖️ Benefits

• Meaningful stock options • Remote-first work arrangement • Flexible schedule outside core collaboration hours • Generous paid time off, including vacation, sick days and public holidays • Paid maternity, paternity and caregiver leave • Twice-yearly company retreats • In-person meetings twice a year

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