Operations Engineer, Fleet Reliability at CoreWeave

Livingston, New Jersey, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Hyperscaler, Cloud Computing, Accelerated Computing, Data CentersIndustries

Skills

Key technologies and capabilities for this role

Fleet ReliabilityOperationsProvisioningServer ManagementUptimeConfigurationUpdatesRemote TroubleshootingSupercomputing ClustersNetworkingHardware TroubleshootingSoftware TroubleshootingSystem Performance MonitoringGPU

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Operations Engineer role?

This information is not specified in the job description.

What skills are required for this role?

Candidates need a strong understanding of Linux system administration and internals, along with the ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently.

What is the team environment like at CoreWeave?

You will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on, focusing on daily provisioning, management, and uptime of server nodes in a high-growth environment.

What makes a strong candidate for this position?

Strong candidates are curious, creative, and persistent problem solvers with a strong understanding of Linux system administration, troubleshooting skills, flexibility, optimism, and a collaborative mindset to improve processes.

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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