Bare Metal Support Engineer at CoreWeave

Livingston, New Jersey, United States

CoreWeave Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, AI, Data CentersIndustries

Requirements

  • Not specified

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
  • Support, operate, and maintain CoreWeave’s GPU fleet

Skills

Bare Metal
GPU
Troubleshooting
Root Cause Analysis
Customer Support
Data Center Operations
Hardware Support
Incident Triage
Documentation
On-call Support

CoreWeave

Cloud service for GPU-accelerated workloads

About CoreWeave

CoreWeave provides cloud computing services that focus on GPU-accelerated workloads, which are essential for tasks requiring high computational power. Their services cater to industries such as artificial intelligence, machine learning, visual effects rendering, and data processing. Clients can access powerful computing resources on a pay-as-you-go basis, allowing them to avoid the costs of purchasing expensive hardware. CoreWeave's infrastructure utilizes a bare metal serverless Kubernetes platform, which enhances performance while minimizing operational complexity for users. This setup enables clients to optimize their computing needs with a variety of NVIDIA GPUs, ensuring they can balance performance and cost effectively. The company's goal is to offer flexible and scalable computing solutions that meet the demands of diverse clients, from tech companies to film studios.

New York City, New YorkHeadquarters
2017Year Founded
$1,625.4MTotal Funding
SECONDARYCompany Stage
Enterprise Software, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Tuition Reimbursement
Mental Health Support
Family Planning Benefits
Paid Parental Leave
Hybrid Work Options
401(k) Company Match
Unlimited Paid Time Off
Catered lunch each day in our office and data center locations
A casual work environment

Risks

Increased competition from Vultr, backed by AMD, may impact CoreWeave's market share.
The planned IPO in 2025 could expose CoreWeave to market volatility and scrutiny.
Reliance on NVIDIA GPUs poses risks if supply chain issues arise.

Differentiation

CoreWeave specializes in GPU-accelerated workloads, catering to AI and high-performance computing.
Their infrastructure uses a bare metal serverless Kubernetes platform for high performance.
CoreWeave offers a flexible pay-as-you-go pricing model, appealing to cost-conscious clients.

Upsides

CoreWeave's partnership with Dell enhances infrastructure, attracting clients seeking advanced AI solutions.
The $600M data center funding in Virginia supports CoreWeave's expansion in the AI cloud market.
Experienced leadership, like CIO Sandy Venugopal, positions CoreWeave for strategic growth.

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