principal software engineering Principal Engineer tech_leadership 8+ yrs Bachelor's
$188,000 – $275,000
USD per year

About this role

CoreWeave is hiring a principal-level Principal Engineer in the software engineering function based in Livingston, NJ | New York City, NY | Sunnyvale, CA | Bellevue, WA. The posting calls out experience with Rust, C, Spring, Kubernetes and roughly 8+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $188,000–$275,000 per year.

Role
Principal Engineer
Function
software engineering
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Livingston, NJ | New York City, NY | Sunnyvale, CA | Bellevue, WA
Experience
8+ years
Education
Bachelor's degree
Department
Technology
AI Summary
Design and implement distributed storage solutions for AI workloads, including exabyte-scale S3-compatible object storage. Optimize performance using RDMA, GPU Direct Storage, and distributed filesystems. Lead reliability, durability, security improvements and mentor engineers on high-performance distributed systems.

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Job description

from CoreWeave careers
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave’s managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world’s most demanding AI workloads.

About the role:

  • Design and Implement distributed storage solutions to support scaling data intensive AI workloads.
  • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
  • Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.
  • Lead efforts to improve the reliability, durability, security, and observability of our storage stack.
  • This is an excerpt. Read the full job description on CoreWeave careers →
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