Full-Time

Capacity Planner

Updated on 12/2/2024

CoreWeave

CoreWeave

501-1,000 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$110k - $135kAnnually

Mid, Senior

Livingston, NJ, USA + 3 more

More locations: New York, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA

Hybrid workplace; in-office presence required.

Category
Production Planning & Scheduling
Supply Chain Management
Operations & Logistics
Required Skills
SQL
Tableau
Looker
Data Analysis
Requirements
  • Minimum 3-5 years of prior experience in a planning role, preferably at an infrastructure company
  • Comfortable with basic computing concepts and terminology
  • Ability to effectively work and communicate with cross-functional teams to coordinate operations and activities between departments
  • Experience in managing data structures (i.e. Excel, SQL, Looker/Tableau) to build reports and run analysis
  • Ability to make recommendations in an ambiguous environment
  • Interest in creating and streamlining processes
  • Strong organizational and problem-solving skills
  • Desire to work in fast-paced environment
  • Exposure to—or interest in—cloud services, data center, networking and various types of server technology would be beneficial
Responsibilities
  • Perform scenario analysis with a focus on impact to capacity utilization to advise on infrastructure projects under guidance
  • Orchestrate capacity projects as part of larger infrastructure initiatives as it pertains to server, network and data center capacity
  • Understand and analyze forecast changes/trends to develop and manage strategic deployment plans
  • Partner with Procurement, Logistics, and Datacenter teams to execute and minimize risks on hardware deployment plans across all data centers
  • Work with external vendors to determine the 12-mo supply view, address vendor challenges, and impact of hardware version changes
  • Develop and maintain capacity dashboards to monitor and manage capacity shifts
  • Provide support for sales, product, and external customer teams
  • Analyze and understand various demand streams and product trends to deliver robust forecasts
  • Build & run “what-if” capacity usage scenarios to support predictive budget planning and capacity impact
  • Apply data analysis to inform business decisions prioritizing operational trade-offs and capital spend
  • Distill large data sets to form recommendations to a larger cross-functional team

CoreWeave provides cloud computing services that focus on GPU-accelerated workloads, which are essential for tasks requiring high computational power like Generative AI, Machine Learning, and VFX rendering. Their services allow clients to access powerful computing resources without needing to invest in expensive hardware, operating on a pay-as-you-go model. This flexibility is particularly beneficial for tech companies, film studios, and enterprises that need scalable solutions. CoreWeave's infrastructure utilizes a bare metal serverless Kubernetes platform, which enhances performance while minimizing operational complexity for clients. Unlike many competitors, CoreWeave offers a wide range of NVIDIA GPUs, enabling clients to tailor their computing power to specific needs. The company's goal is to provide efficient and scalable cloud resources that meet the growing demands of industries reliant on high-performance computing.

Company Stage

Private

Total Funding

$1.6B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

53%

1 year growth

174%

2 year growth

828%
Simplify Jobs

Simplify's Take

What believers are saying

  • CoreWeave's partnership with Pure Storage enhances data storage for AI cloud services.
  • Deployment of NVIDIA GB200 NVL72 clusters positions CoreWeave at the forefront of AI infrastructure.
  • Microsoft's planned $10 billion investment indicates strong confidence in CoreWeave's growth potential.

What critics are saying

  • Increased competition from Nebius could impact CoreWeave's market share and pricing strategies.
  • Over-reliance on Pure Storage may limit CoreWeave's flexibility in adopting new technologies.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads for AI, ML, and VFX rendering.
  • Their infrastructure uses bare metal serverless Kubernetes for high performance and reduced DevOps burden.
  • CoreWeave offers a broad selection of NVIDIA GPUs, optimizing performance and cost for clients.

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