Staff Engineer, Storage Engine

About the role

Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: (This section has to be the technical and measurable requirement of the role, soft skills cannot be measured) Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. 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 and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or 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-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is PLN 369,000 to PLN 493,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). To fulfill our obligation to protect client data, successful applicants offered