Why This Job is Featured on The SaaS Jobs
CoreWeave sits adjacent to the SaaS ecosystem as the infrastructure layer that SaaS and AI products increasingly depend on. Featuring a senior systems engineering role focused on OS automation highlights a category of work that directly shapes reliability, reproducibility, and velocity for platform consumers. The remit spans Linux build pipelines, kernel distribution, and observability, reflecting how modern SaaS-grade platforms treat operating system delivery as a product surface rather than background IT.
For SaaS career development, the standout angle is the intersection of classic release engineering with AI-assisted operations. Building hermetic pipelines, standardizing telemetry, and designing feedback loops for regression detection are skills that translate to any SaaS organization operating at scale, especially those running Kubernetes-heavy fleets. The additional emphasis on integrating LLMs and RAG into CI/CD and ChatOps reflects a broader industry shift toward automation that can interpret operational data, not just execute scripts.
This role suits engineers who prefer rigorous systems work with measurable outcomes, and who enjoy turning ambiguous failure modes into durable automation. It also fits professionals ready to bridge infrastructure fundamentals with applied ML techniques, collaborating across kernel, platform, and tooling stakeholders in an on-site environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
About The Role
SysEng 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.
Our Team’s Stack
- 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
- 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
- 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.
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Nice-to-haves
- Experience with Kubeflow or MLFlow.
- Background in High-Performance Computing (HPC).
- Experience fine-tuning small language models (SLMs) for code or log analysis tasks.
The base salary range for this role is $153,000 to $242,000. 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).
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. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
California Applicants
California Consumer Privacy Act
Equal Opportunity & Accommodations
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.
Export Control Compliance
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.
