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Full-Time

Senior Engineer

App Platform

Posted on 12/12/2023

CoreWeave

CoreWeave

201-500 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$170k - $210kAnnually

Senior

Livingston, NJ, USA + 1 more

More locations: Brooklyn, NY, USA

Requires onsite presence in Roseland, NJ or Brooklyn, NY for onboarding training and quarterly travel. Candidates within a 30-mile radius of New Jersey, New York, or Philadelphia offices are expected to be in the office at least three times a week.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Python
Linux/Unix
Requirements
  • Five or more years of experience in a software or infrastructure engineering industry
  • Experience automating and operating services in production and at scale
  • Familiarity with 'app store' or 'marketplace' designs
  • Experience using Kubernetes and Kubernetes deployment tools such as Helm
  • Knowledge of Linux distro, shell scripting, and Linux storage and networking stacks
  • Interest in reliability engineering concepts
  • Ability to transform problems in elastic architectures and decompose them into achievable tasks
  • Comfortable with a primary programming language (GO or Python)
  • Excitement about being part of a diverse team
Responsibilities
  • Design and integrate a scalable Kubernetes-native marketplace solution
  • Test, package, and orchestrate marketplace applications
  • Develop automated CI/CD pipelines with Kubernetes ecosystem tools
  • Build monitoring strategies for marketplace application performance
  • Partner with cloud team and security team for integration and security of marketplace applications
  • Create solutions for license management of marketplace applications
  • Participate in on-call rotation and invest in automated detection and remediation
  • Collaborate with teammates and contribute to team growth and success

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 is built on a bare metal serverless Kubernetes platform, allowing clients to access powerful computing resources without the need for expensive hardware. CoreWeave's pay-as-you-go pricing model provides flexibility and scalability, making it appealing to tech companies, film studios, and enterprises. The company's goal is to deliver high-performance computing resources that meet the increasing demands of various industries.

Company Stage

Series B

Total Funding

$12B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

61%

1 year growth

192%

2 year growth

867%
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Simplify's Take

What believers are saying

  • Securing $1.1 billion in funding positions CoreWeave for aggressive growth and innovation in the AI and HPC sectors.
  • The appointment of former AWS executive Chetan Kapoor as Chief Product Officer brings valuable expertise and leadership to drive product strategy during a hypergrowth phase.
  • CoreWeave's $2.2 billion investment in European data centers demonstrates their commitment to expanding global reach and meeting surging demand for AI infrastructure.

What critics are saying

  • The competitive landscape with giants like AWS launching high-core instances could pressure CoreWeave to continuously innovate to maintain its edge.
  • Rapid expansion, including significant investments in new data centers, could strain resources and operational capabilities.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads, setting it apart from general cloud service providers like AWS and Azure.
  • Their fully managed, bare metal serverless Kubernetes platform offers high performance with reduced operational burden, a unique selling point in the cloud computing market.
  • CoreWeave's strategic partnerships, such as with Bloom Energy for on-site power generation, enhance their infrastructure's reliability and sustainability.

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