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CoreWeave is the essential cloud provider powering AI workloads, trusted by labs and enterprises worldwide. We are seeking a Specialist Field Engineer - Compute Infrastructure to own the technical path for our largest customers, from facility design to a validated, production-ready supercomputer.
You will work with data centers, GPUs, high-speed fabric, and firmware to deliver reliable compute at scale. You will engage hands-on across the entire customer lifecycle, partnering with internal teams
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.
The Field Engineering organization at CoreWeave is dedicated to ensuring every customer running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. Field Engineering aligns closely with internal and customer engineering teams, offering valuable insights from the field and the chance to shape the CoreWeave product roadmap and development.
As a Specialist Field Engineer - Compute Infrastructure at CoreWeave, you'll own the technical path for some of our largest customers as they go from facility and rack design to a validated, production-ready supercomputer. Working alongside the teams that build and operate each layer, you are the deep technical expert who turns raw data center hardware—racks, GPUs, high-speed fabric, firmware—into reliable compute that customers can train and inference on at scale, spanning infrastructure engineering, provisioning, validation, operations, and support.
You'll engage hands-on across the entire customer lifecycle: