Senior Systems Engineer, OS Automation
Quick Summary
Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps. Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
About the Role
~1 min readSysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel)
CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them.
You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.
- Languages: Python, Go, bash/sh
- Observability: Prometheus, Victoria Metrics, Grafana
- OS & Kernel: Linux Kernel (custom build), Ubuntu
- Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
- Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet
Responsibilities
~1 min read- →Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
- →Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
- →Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
- →Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
- →"Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
- →Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
- →Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
- →Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.
Requirements
~1 min read- 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
- Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
- Experience with package management (Debian/Ubuntu) and build systems.
- Strong proficiency in Python (essential for the AI integration aspects of this role).
- Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
- Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
- Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
- Familiarity with data structures required for vector search or time-series analysis.
- Experience with Kubeflow or MLFlow.
- Background in High-Performance Computing (HPC).
- Experience fine-tuning small language models (SLMs) for code or log analysis tasks.
What We Offer
~1 min readWhile we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
California Consumer Privacy Act - California applicants only
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Listing Details
- First seen
- March 26, 2026
- Last seen
- April 24, 2026
Posting Health
- Days active
- 29
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- April 24, 2026
Signal breakdown
Please let Coreweave know you found this job on Jobera.
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