Systems Engineer, Kernel (Performance)

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 . Senior Systems Engineer, Kernel Performance Observability CoreWeave is seeking a Systems Kernel Engineer focused on Performance and Observability to join our HAVOCK Team. In this role, you will build the next generation of automated introspection tools that detect issues before our customers do. You will leverage eBPF and programmable debuggers to create "OOB (Out of Band) Kernel Introspection" capabilities, allowing us to analyze live systems and core dumps with unprecedented depth. You will turn manual debugging steps into automated software solutions. H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ubelet Our Team’s Stack: Observability : eBPF (BCC/libbpf), drgn, bpftrace, perf Python, Go, C Custom Linux Kernel, Ubuntu Prometheus, Victoria Metrics, Grafana Docker, kubernetes (k8s) Focus Areas: Advanced Observability – Designing eBPF-based tracing tools to analyze latency, resource contention, and locking in real-time. Introspection Tooling – Advancing our usage of programmable debuggers (like drgn) to analyze live kernels and core dumps. Automated Triage – Building systems that automatically categorize kernel crashes (RIP registers, stack traces) and reporting. Out-of-Band (OOB) Debugging – Implementing stealth forensics to debug hosts via DPUs without impacting the main CPU. Performance Analytics – Correlating kernel metrics with fleet-wide telemetry in Grafana. Responsibilities: Develop eBPF programs to trace complex performance regressions in production. Build and maintain Debug images and associated tooling. Automate the analysis of soft lockups and crash dumps (automating crash/drgn workflows). Work on "OOB Kernel Introspection," enabling memory traces and debugging. Collaborate with the fleet team to integrate kernel metrics into high-level dashboards. Requirements: 5+ years of experience in Systems Engineering or Kernel Development. eBPF Mastery: Strong experience writing eBPF programs (using bcc, bpftrace, or libbpf) for production environments. Scripting for Debugging: Proficiency in Python (specifically for drgn or GDB scripting) to automate analysis. Deep Linux Internals: Understanding of how to trace the scheduler, memory subsystem, and block layer. Experience connecting system metrics to visualization tools (Prometheus, Grafana). Nice-to-haves: Experience with OOB (Out of Band) management Experience with Fuzzing (Syzkaller) or Sanitizers (KASAN, UBSAN) Previous work on "Self-Healing" infrastructure or automated remediation Experience upstreaming tooling to the open-source community Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,000/year in our lowest geographic market up to $242,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid ... (truncated, view full listing at source)