GPU Bare-Metal Support Engineer

Coreweave

Bellevue (WA)

On-site

USD 99,000 - 132,000

Full time

14 days+

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Benefits offered by this job

Medical/Dental/Vision

401(k) Matching

Flexible PTO

Catered lunch daily

Equity awards

Tuition Reimbursement

Mental Wellness Benefits

Parental Leave

ESPP

Life Insurance

Job summary

CoreWeave in Bellevue, WA, is seeking a Technical Support Engineer to operate and maintain our extensive GPU fleet across US data centers. You will collaborate with customers, data center technicians, and engineering to ensure reliability, performance, and scalability of our cloud platform.

You will diagnose issues, develop workloads understanding, and contribute to documentation and automation to streamline support workflows.

Qualifications

Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.
Experience driving resolutions across cross-functional teams in data center environments.
Intermediate knowledge of Linux (Ubuntu, CentOS, or similar).
Experience with NVIDIA GPUs, SuperMicro/Dell systems, HPC, and large-scale data center environments.
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 across firmware, drivers, and hardware layers.
Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.
Scripting and automation (Python, Bash, Ansible).

Responsibilities

Provide high-level support for customers using bare-metal GPU fleets.
Diagnose, triage, and investigate customer issues and incidents, identifying root causes and escalating when necessary.
Develop a deep understanding of customer workloads for tailored technical support.
Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.
Create and maintain internal documentation, including troubleshooting guides and best practices.
Participate in an on‑call rotation to support production clusters.
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 firmware, drivers, and hardware layers.
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.