Systems Engineer, Kernel

Monolith AI
Bellevue, WA$165k–$242kPosted Jul 9, 2026
Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Skip to main content Systems Engineer, Kernel CoreWeave Bellevue, WA Apply Join or sign in to find your next job Join to apply for the Systems Engineer, Kernel role at CoreWeave Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Systems Engineer, Kernel CoreWeave Bellevue, WA 1 week ago 120 applicants See who CoreWeave has hired for this role Apply Join or sign in to find your next job Join to apply for the Systems Engineer, Kernel role at CoreWeave Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job 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 DoCoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave’s Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack.This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - KubeletOur Team’s StackPython, Go, bash/sh, CPrometheus, Victoria Metrics, GrafanaLinux Kernel (custom build), UbuntuIntel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICsDocker, kubernetes (k8s), KubeVirt, containerd, kubeletFocus AreasKernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root...

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