Technical Support Engineer (Bare Metal)

Coreweave; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision fully covered

Life insurance and disability coverage

401(k) with employer match

Tuition reimbursement

Mental wellness benefits

Paid parental leave

Flexible paid time off

Casual, innovation-focused culture

Job summary

CoreWeave seeks a customer-facing technical support engineer to maintain reliability and performance of large bare-metal GPU fleets powering AI workloads across data centers. You will engage with customers, diagnose issues across firmware, drivers, and hardware, and influence product direction through field feedback.

You will troubleshoot, automate workflows with Python/Bash/Ansible, and collaborate with networking, hardware, and software teams to reduce recurring problems.

Qualifications

• Hands-on experience in data centers, GPU clusters, large-scale server deployments, system administration, or hardware troubleshooting.

Responsibilities

• Deliver high-level technical support for customers running on bare-metal GPU cloud infrastructure, diagnosing and triaging reported issues and high-priority incidents across firmware, drivers, and hardware layers.
• Develop a deep understanding of customer workloads and use cases to provide tailored troubleshooting and guidance.
• Coordinate remote troubleshooting and physical hardware interventions with on-site data center technicians.
• Create and maintain internal documentation, including troubleshooting guides, best-practice articles, and knowledge-base entries.
• Participate in an on-call rotation to support production GPU clusters and ensure operational reliability.
• Build automation and scripts (Python, Bash, Ansible, or similar) to streamline repetitive support workflows.
• Partner with networking, hardware, and software engineering teams to resolve complex issues and feed recurring problems back into product improvements.

Skills

Data center experience

Linux CLI

Networking fundamentals

Troubleshooting

Tools

Python

Bash

Ansible

Confluence

Job description

Role overview

A customer-facing technical support role focused on maintaining the reliability, performance, and scalability of large bare-metal GPU fleets that power AI workloads across multiple data centers. The position sits at the intersection of customer engineering, hardware operations, and infrastructure reliability, with opportunities to influence product and engineering direction through field feedback.

Responsibilities

• Deliver high-level technical support for customers running on bare-metal GPU cloud infrastructure, diagnosing and triaging reported issues and high-priority incidents across firmware, drivers, and hardware layers.
• Develop a deep understanding of customer workloads and use cases to provide tailored troubleshooting and guidance.
• Coordinate remote troubleshooting and physical hardware interventions with on-site data center technicians.
• Create and maintain internal documentation, including troubleshooting guides, best-practice articles, and knowledge-base entries.
• Participate in an on-call rotation to support production GPU clusters and ensure operational reliability.
• Build automation and scripts (Python, Bash, Ansible, or similar) to streamline repetitive support workflows.
• Partner with networking, hardware, and software engineering teams to resolve complex issues and feed recurring problems back into product improvements.

Requirements

• Hands-on experience in data centers, GPU clusters, large-scale server deployments, system administration, or hardware troubleshooting.
• Intermediate proficiency with Linux (Ubuntu, CentOS, or similar) at the command line.
• Working knowledge of GPU systems from vendors such as NVIDIA, server platforms such as SuperMicro and Dell, and high-performance computing environments.
• Solid grasp of networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and standard troubleshooting tools.
• Experience with firmware updates, BIOS configuration, driver management, and multi-layer log analysis.
• Familiarity with issue-tracking and documentation platforms (e.g., Jira, Confluence, Notion) plus scripting/automation experience.

Nice to have

• Curiosity about Kubernetes, Docker, and other containerized infrastructure technologies.
• Comfort working across cross-functional teams and driving continuous improvement in fast-changing environments.

Benefits and work setup

• Medical, dental, and vision insurance fully covered for employees.
• Company-paid life insurance plus short- and long-term disability coverage, flexible spending and health savings accounts.
• 401(k) with employer match, employee stock purchase program eligibility, and tuition reimbursement.
• Mental wellness benefits, family-forming support, paid parental leave, and full-service childcare assistance.
• Flexible paid time off and a casual, innovation-focused work culture with catered meals at office and data center locations.
• This position involves access to export-controlled information and is limited to U.S. persons as defined by applicable export regulations.