Simplify Logo

Full-Time

Engineer – Data Platforms

Confirmed live in the last 24 hours

CoreWeave

CoreWeave

201-500 employees

Cloud service for GPU-accelerated workloads

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$160k - $185kAnnually

Junior, Mid

Livingston, NJ, USA + 2 more

Category
Data Engineering
Data & Analytics
Required Skills
CockroachDB
Apache Kafka
Linux/Unix
Requirements
  • two or more years of experience in a software or infrastructure engineering industry
  • experience operating services in production and at scale
  • versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design
  • understand data consistency and concurrency models
  • familiar with distributed datastores such as Cockroachdb, TiDB, Cassandra and/or stream processing tools such as NATS or Kafka
  • experience in managing and operating services in a Kubernetes centric environment
  • interested in using Kubernetes for event-driven and/or stateful orchestration using a pattern like the operator pattern
  • know your way around a Linux distro, shell scripting, and/or the Linux storage and networking stacks
Responsibilities
  • Identify and develop applications for the organization's data
  • Implement the platform to deliver data to teams with a focus on providing managed solutions
  • Participate in operations and scaling of relational data platforms
  • Develop a stream processing architecture and solve for scalability and reliability
  • Improve the performance, security, reliability, and scalability of our data platforms, and related services and participate in the teams on-call rotation
  • Establish guidelines, guard rails for data access and storage for stakeholder teams
  • Ensure compliance with standards for data protection regulation

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

62%

1 year growth

134%

2 year growth

719%
Simplify Jobs

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.