CoreWeave

GPU Cloud Infrastructure — Powering AI Workloads at Scale

The consensus on CoreWeave: Choose CoreWeave if you want NVIDIA-backed GPU cloud with equity upside — but culture and processes are still maturing.

2017

Founded

Roseland, NJ

Headquarters

~1,800

Employees

~$50B

Market Cap (CRWV)

Culture Overview

What it's really like to work at CoreWeave

Founded in 2017 by Michael Intrator, Brian Venturo, and Brannin McBee, CoreWeave is a GPU cloud infrastructure company backed by NVIDIA ($2B investment in Jan 2026). The culture is engineering-driven and fast-paced, with teams shipping quickly across 32 data centers housing 250,000+ GPUs. Now public on NASDAQ (CRWV) with stock up 200%+ since IPO, the company offers strong equity upside but expects a many-hats mentality as processes catch up to hypergrowth.

Eng-Driven Ship Fast Equity Many Hats

Glassdoor Ratings

CoreWeave Glassdoor Ratings & Employee Reviews

3.6

Overall Glassdoor Score

Based on ~64 reviews

Culture & Values 3.1

Compensation & Benefits 3.8

Senior Management 3.0

Career Opportunities 3.4

Work-Life Balance 3.2

Overall Rating 3.6

62% Recommend to a Friend

65% CEO Approval (Michael Intrator)

Employee Review Themes

Working at CoreWeave: Pros & Cons

✓ What employees love

✓ GPU cloud infrastructure leader backed by NVIDIA ($2B investment in Jan 2026)
✓ Strong compensation and equity — especially valuable post-IPO (stock up 200%+ since IPO)
✓ Working on genuinely hard distributed systems and GPU infrastructure challenges
✓ Rapid growth means abundant career opportunities and ownership
✓ Cutting-edge hardware — 32 data centers, 250,000+ GPUs

✗ What could be better

✗ Work-life balance can be challenging — some teams report expectations of being available outside normal hours
✗ Culture and values rated 3.1/5 — organizational processes still maturing at this growth pace
✗ Management quality varies across teams (3.0/5) — some teams lack clear structure
✗ Hypergrowth from ~880 to ~1,800 employees in one year creates adjustment challenges

Engineering Culture

How the engineering team works

Tech Stack

Go Python Kubernetes CUDA Terraform

Infrastructure

GPU cloud infrastructure and AI compute platform. 32 data centers with 250,000+ NVIDIA GPUs powering AI/ML inference, training, and rendering workloads.

Platform

Kubernetes-native cloud platform purpose-built for GPU-accelerated workloads. Learn more →

Focus Areas

AI/ML inference and training, large-scale distributed systems, GPU orchestration, cloud-native infrastructure, and high-performance rendering.

Open Positions

Join the CoreWeave team

... open positions.

🌐 Remote

✕ Clear

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