HPC Performance Engineer

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. What you'll do: CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team’s primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team’s Stack: Python, Go, bash/sh, C Prometheus, Victoria Metrics, Grafana Linux Kernel (custom build), Ubuntu Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs Docker, kubernetes (k8s), KubeVirt, containerd, kubelet About the role: Develop and maintain tools for establishing systems performance baselines Develop and maintain performance regression analysis testing automation Design and maintain performance regression test pipelines for HPC workloads Debug and Tune fabric-level performance to ensure low-latency high throughput configurations Development of telemetry for performance analysis across distributed clusters of servers Triage and fix performance issues in Linux Collect data, produce metrics and visualizations that communicate performance information compared to benchmarks; this data should lead to appropriate business decisions and toward greater automation that improves customer experience in relation to performance Define Linux and OS requirements, specifications, and system architecture in relation to systems performance, in collaboration with cross-functional teams.