Full-Time

Principal Engineer

Updated on 12/3/2024

CoreWeave

CoreWeave

501-1,000 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$275k - $330kAnnually

Senior, Expert

Livingston, NJ, USA + 3 more

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

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Rust
Python
Go
C/C++
Requirements
  • 10+ years of experience in engineering, with at least 5+ years in leadership.
  • Expertise in designing and building large-scale distributed systems, with deep knowledge of containerization, and orchestration.
  • Proficiency in languages such as Go, Python, C++, Rust or similar.
  • Deep understanding of cloud-native architectures, and the challenges of scaling compute-intensive infrastructure.
  • Proven ability to lead teams involving multiple projects, making high-level technical decisions. Experience mentoring and growing individuals across all skill levels.
  • A track record of initiating change by solving complex, high-impact engineering problems. Driving innovation in cloud infrastructure or other relevant technologies.
  • Demonstrated experience engaging with stakeholders at all levels of the organization. Experience presenting technical ideas to non-technical audiences.
Responsibilities
  • Lead the design and architecture of scalable, GPU-accelerated cloud solutions. Work with cross-functional teams to translate business requirements into technical solutions.
  • Drive technical innovation by identifying and implementing new technologies and methodologies that will enhance CoreWeave’s platform. Continuously optimizing for scalability.
  • Provide mentorship and guidance to engineering teams, setting high standards for code quality, system design, and operational excellence. Lead code reviews, foster collaboration, and encourage best practices across teams.
  • Work closely with stakeholders across Infrastructure, Security, Product, and Operation teams to ensure seamless integration of new features and services into the CoreWeave platform. Contribute to strategic decisions that influence the company's technical direction.
  • Solve complex technical challenges related to distributed systems, cloud infrastructure, GPU workloads, Kubernetes, networking, security, and hardware automation.
  • Stay ahead of industry trends in cloud computing, AI, Kubernetes, and other relevant domains. Represent CoreWeave as a thought leader at conferences, industry events, and in technical communities.

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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