Senior Software Engineer, Storage

Crusoe
San Francisco, CA - US$166k – $201kPosted 27 March 2026

Job Description

Senior Software Engineer, Storage Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: As a Senior Software Engineer on our storage team, you'll be joining our core engineering team to design, build, and optimize our next-generation cloud storage products. We're looking for a hands-on engineer with deep expertise in building storage systems. You will be responsible for building highly performant, reliable, and scalable distributed storage systems that are critical to our infrastructure and our customers' AI/HPC workloads. What You’ll Be Working On: - Building Our Multi-Petabyte Cloud Storage Platform - Building core components of our foundational storage products, purpose built for high performance AI and ML workloads - Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions - System Design & Architecture - Design and implement high-performance, scalable, and resilient storage architectures that are highly extensible - Proposing and prototyping novel strategies to scale performance and system throughput for our most demanding customer workloads - Building observability, metrics and tooling for our services and fleet - High Velocity Problem Solving - Troubleshooting and resolving unique and complex distributed systems problems only seen at the scale we operate at - Provide ongoing support for production systems, and customer workloads including troubleshooting, performance tuning, and incident response - Cross-functional Collaboration - Foster strong collaboration with other engineering teams (e.g., Software Infrastructure, Product) and cross-functional departments - Single threaded ownership and representation of the storage team in business critical initiatives across the company You’ll Bring to the Team: - Hands-on proficiency in modern software development best practices, and practical experience in languages like Go, Java, C/C++, or Rust - Extensive experience developing multi-tenant, cloud scale distributed storage infrastructure software and systems - Experience contributing to at least one or more of the following storage products: File (e.g., NFS, SMB, Lustre), Object, or Block Storage (e.g., NVMe, iSCSI) - A strong background in high performance filesystem based products, VFS and linux filesystems (e.g., ext4, XFS, ZFS) - Proficiency working with Linux and its storage subsystems. - Knowledge of monitoring tools (Prometheus, Grafana), log analysis, distributed tracing and debugging Bonus Points: - Experience with AI/HPC storage solutions, such as Parallel Filesystems or petabyte+ scale Object Storage. - Familiarity with networking technologies like RDMA and Infiniband. - Familiarity with modern storage technologies (e.g GPU Direct Storage, F2FS, SPDK etc) - Prior experience with Nvidia SuperNIC DPUs for storage opti ... (truncated, view full listing at source)
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