Senior Systems Engineer, OS Automation

About the role

CoreWeave is looking for a Senior Systems Engineer to evolve beyond traditional DevOps. You will design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers, collaborate with kernel engineers, build AI agents for real-time error analysis and auto-remediation, and design ML workflows for predictive regression modeling.

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.

Benefits

• Medical, dental, and vision insurance - 100% paid by CoreWeave.
• Company-paid Life Insurance.
• Voluntary supplemental life insurance.
• Short and long-term disability insurance.
• Flexible Spending Account (FSA).
• Health Savings Account (HSA).
• 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.
• Catered lunch each day in our office and data center locations.
• A casual work environment.
• A work culture focused on innovative disruption.

Pay

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.

Schedule

Full-time, remote position.