Technical Support Engineer (Bare Metal)

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 .

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client 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. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role

As a Technical Support Engineer , you will be responsible for supporting, operating, and maintaining CoreWeave’s extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. 

In this role, you will: 

Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud.

Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary.

Develop a deep understanding of customer workloads and use cases to provide tailored technical support.

Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.

Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles.

Participate in an on-call rotation to support production clusters and ensure operational reliability.

Collaborate with engineering teams to improve hardware reliability, software stability, and system performance.

Implement automation and scripting to streamline support workflows and reduce manual interventions.

Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware).

Provide feedback to internal teams on common support issues to drive continuous improvements.

Work with networking teams to troubleshoot connectivity issues affecting customer workloads.

Support supercomputing infrastructure running GPU workloads at scale.

Drive operational excellence by refining internal processes and support methodologies.

Who You Are:

Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.

Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment.

Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency.

Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments.

Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.

Hands-on experience with firmware updates, BIOS configurations, and driver management.

Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers.

Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.

Experience in scripting and automation (Python, Bash, Ansible, or similar).

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