Full-Time

Capacity Planner

Posted on 9/27/2024

CoreWeave

CoreWeave

501-1,000 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$110k - $135kAnnually

Mid

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 offers cloud computing services that specialize in GPU-accelerated workloads, which are crucial for tasks like artificial intelligence, machine learning, and visual effects rendering. Their infrastructure uses a bare metal serverless Kubernetes platform, allowing clients to efficiently manage applications while accessing powerful computing resources on a pay-as-you-go basis. CoreWeave stands out by providing a wide range of NVIDIA GPUs, enabling clients to optimize performance and cost for their specific needs. The company's goal is to deliver flexible and scalable computing resources to meet the demands of high-performance computing industries.

Company Stage

Private

Total Funding

$1.6B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

35%

1 year growth

146%

2 year growth

828%
Simplify Jobs

Simplify's Take

What believers are saying

  • CoreWeave secured $600M for a new data center, boosting AI cloud market expansion.
  • Strategic partnership with Dell enhances infrastructure with Blackwell-powered racks.
  • Planned $23 billion public listing indicates strong investor confidence and growth potential.

What critics are saying

  • Increased competition from Vultr, backed by AMD, challenges CoreWeave's market position.
  • Over-reliance on Dell's technology may limit flexibility in adopting new advancements.
  • Rapid expansion plans may strain resources and operational capabilities if not managed well.

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 efficiency.
  • CoreWeave offers a broad selection of NVIDIA GPUs for optimized performance and cost.

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