Technical Support Engineer (Bare Metal)

Coreweave; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life insurance and disability coverage

401(k) with employer match

Tuition reimbursement

Mental wellness benefits

Flexible PTO

Casual, innovation-focused culture

Job summary

Coreweave is seeking a customer-facing technical support specialist focused on ensuring reliability, performance, and scalability of large bare-metal GPU fleets powering AI workloads across multiple data centers.

You will diagnose issues, triage high-priority incidents, and guide customers through firmware, driver, and hardware concerns while coordinating with on-site technicians and engineering teams.

Qualifications

• Hands-on role in data centers, GPU clusters, large-scale server deployments, system administration, or hardware troubleshooting.
• Intermediate proficiency with Linux at the command line.
• Working knowledge of GPU systems from vendors like NVIDIA and HPC environments.
• Solid grasp of networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.
• Experience with firmware updates, BIOS configuration, and multi-layer log analysis.
• Familiarity with issue-tracking and documentation platforms (Jira, Confluence, Notion) and scripting/automation.

Responsibilities

• Deliver high-level technical support for customers on bare-metal GPU cloud infrastructure, diagnosing issues across firmware, drivers, and hardware.
• Develop understanding of customer workloads to provide tailored troubleshooting and guidance.
• Coordinate remote troubleshooting and physical hardware interventions with on-site data center technicians.
• Create and maintain internal documentation, troubleshooting guides, and knowledge-base entries.
• Participate in on-call rotations to support production GPU clusters.
• Build automation/scripts (Python, Bash, Ansible) to streamline support workflows.
• Collaborate with networking, hardware, and software engineering teams to resolve complex issues and feed back into product improvements.

Skills

Linux

GPU systems

Networking basics

Scripting

Troubleshooting

Data center ops

Jira

Tools

Jira

Confluence

Notion

Ansible

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.