EU remote
Principal Engineer, Manufacturing Analytics
About this role
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 . We're proud to be a Living Wage accredited Employer. What You’ll Do CoreWeave’s Hardware Quality organization is responsible for product enablement, factory operations, hardware reliability, and global manufacturing excellence across our supply base and fleet. We are looking for a Principal Engineer, Manufacturing Analytics to own and lead the strategy and technical architecture connecting supplier data, manufacturing analytics, and product reliability into a single, coherent system of insight.
About the Role This is a hands-on strategic role. You will define how supplier and factory data flows into decision-making, build the analytical backbone for manufacturing quality and reliability, and shape how reliability modeling informs product lifecycle strategy from NPI through EOL. You will operate at the intersection of hardware engineering, data architecture, and supply chain, translating fragmented supplier and factory signals into a unified quality and reliability narrative used by engineering, operations, and executive stakeholders.
In this role, you will: Manufacturing Analytics Define and drive the strategy for capturing, standardizing, and integrating quality and process data from OxMs and component suppliers. Establish data contracts, quality gates, and integration patterns with suppliers to ensure timely, trustworthy, and actionable data flows. Architect an end-to-end analytics strategy spanning supplier, factory-floor, and field data, moving Hardware Quality from siloed reporting to a unified quality and reliability data platform.
Enable the operating framework and modeling that connects supplier, manufacturer, and fleet insights into a unified, collaborative solution. Create scalable solutions and set technical direction in partnership with Supply Chain Transformation and Data Enablement teams. Reliability Modeling Own the technical approach to reliability modeling across hardware components and systems, including failure-rate prediction, MTBF/MTTF analysis, Weibull analysis, and other lifetime distributions.