Description
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.
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.
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.
Responsibilities:
- 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.
Requirements:
- 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).
Nice to Have:
- Curiosity about Kubernetes, Docker, and containerized infrastructure.
- Strong problem-solving skills with a proactive and analytical mindset.
- Excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.
What We Offer:
- Base salary range: $99,000 to $132,000.
- Comprehensive benefits program, including medical, dental, and vision insurance, company-paid Life Insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible childcare support, 401(k) with a generous employer match, flexible PTO, catered lunch, and a casual work environment.