Job Opportunities API

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com .   We're proud to be a Living Wage accredited Employer.   What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave’s managed storage products. We build reliable, scalable storage solutions with segment-leading performance. The storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world’s most demanding AI workloads. About the role: As a Staff Engineer, AI Object Storage , you will design and implement distributed storage solutions to support scaling data-intensive AI workloads. You will contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Operating across hardware-adjacent stacks, you will leverage technologies such as RDMA, GPU Direct Storage, and distributed filesystem protocols like NFS or FUSE to optimize platform performance and efficiency. You will lead cross-functional efforts to improve reliability, durability, security, and telemetry metrics while analyzing system data to drive improvements in throughput and latency. Additionally, you will establish operational best practices, set high architectural standards, and mentor engineers on building high-performance distributed systems. Who You Are: 8–10+ years of experience working in storage systems engineering or infrastructure platforms. Strong hands-on experience with object storage or distributed filesystems in high-scale production environments. Deep experience with one or more storage protocols (e.g., S3, NFS) and distributed file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Familiarity with storage observability tools, metrics collection, and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Proficiency leveraging AI tools to augment and accelerate software development workflows. Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow continuously, push the boundaries of your technical expertise, and solve complex distributed platform challenges. You're curious about distributed storage engineering and how to adapt infrastructure to the intensive demands of AI/ML workloads. You're an expert in data persistence on physical media, high-performance data transfer using RDMA, or building highly resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in