Staff Software Engineer, CoreWeave
Storage
$188-275k
Office located in Sunnyvale, CA
The essential cloud for AI
Posted today
The essential cloud for AI
1001+ employees
Posted today
$188-275k
Office located in Sunnyvale, CA
1001+ employees
Company mission
To manage the complexities of AI growth to make supercomputing accessible and push the limits of what's possible.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Engineering or a related field
- 10+ years of experience in storage systems, database internals or infrastructure engineering
- A track record of building storage or database systems others rely on: a founding or lead engineer on a shipped storage product, published systems work, or equivalent depth
- Strong production experience with distributed file systems, block storage or storage engines, including protocols such as NFS or S3 and systems such as Ceph, Lustre or similar
- Depth in the storage data path: IO performance, caching, crash consistency and resilience under load
- Expert in a systems programming language: Rust, C++ or Go
- Experience building on Kubernetes: controllers, operators, CRDs and CSI
- Strong debugging and problem-solving skills in distributed, high-performance environments
- Clear communicator, able to work collaboratively across teams and share technical insights effectively
- Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
- You love owning a system from whiteboard to production
- You're curious about what storage looks like when it lives next to the GPUs
- You're an expert in making distributed systems fast, durable and simple to operate
What the job involves
- CoreWeave's Storage team builds the file, block and object storage that the world's largest AI training and inference workloads run on
- As a Staff Software Engineer you will own whole storage subsystems end to end, from the data path to the multi-tenant control plane, on distributed systems built in Go, Rust and C++ and delivered through Kubernetes
- Storage at CoreWeave sits next to the GPUs, so your work directly determines how fast the largest AI clusters in the world train
- You will set technical direction for foundational storage services built from scratch: high-performance file storage, durable block volumes and the control plane that governs tenancy, provisioning and data protection at exabyte scale
- Own the architecture and delivery of multi-tenant file and block storage services, data path through control plane, running on CoreWeave's own hardware fleet
- Design for the IO patterns AI pipelines create: small-file and metadata-heavy workloads, IOPS at scale and the sustained throughput that keeps GPUs fed
- Ship storage as a first-class Kubernetes citizen: CSI drivers, dynamic provisioning, snapshots, resize and RWO block volumes backed by public SLOs
- Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK and distributed filesystems to raise storage performance and efficiency
- Drive reliability, durability and observability across the storage stack using telemetry, metrics and dashboards
- Set the technical bar: lead design reviews, mentor senior engineers and shape how storage is built across the organization
Our take
As AI continues to dominate the tech landscape, the demand for faster, more efficient cloud infrastructure is only intensifying. Traditional cloud providers often struggle with the sheer speed and scale required to power advanced AI models, leaving a gap for more specialized players. And that's where CoreWeave comes in, a company purpose-built to handle the heavy computational lift that the AI era demands.
CoreWeave's story is an interesting one too. What began in 2017 as a small crypto mining venture has evolved into one of the leading AI-focused cloud providers in the world. Its data centers are packed with high-end GPUs optimized for machine learning and generative AI, serving major clients like Microsoft and OpenAI. By designing its infrastructure around the needs of modern AI workloads rather than retrofitting older systems, CoreWeave has carved out a distinct and highly valuable niche in the market.
That focus in paying off in a big way too. Analyst project CoreWeave's revenue to soar from $5.3B in 2025 to the mid-$20Bs by 2028, up from just $16M in 2022. While there is competition from tech giants like Amazon and Google, CoreWeave's speed, specialization, and bold investment strategy put in in a very powerful position to keep riding (and helping shape) the AI boom.
Steph
Company Specialist at Welcome to the Jungle
Insights
194% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company HQ
Civic Center, New York, NY
Leadership
Michael Intrator
(Co-Founder & CEO)Previously, Michael was a Principal Portfolio Manager at Natsource Asset Management for over 15 years. He also served as the CEO of Hudson Ridge Asset Management before co-founding CoreWeave in 2018.
Brian Venturo
(Co-Founder & CSO)Brian spent nearly 6 years at Natsource Asset Management as a Portfolio Manager before becoming a Partner at Hudson Ridge Asset Management. After co-founding CoreWeave he served as the CTO until 2024 when he moved into his current role of Chief Strategy Officer.
Brannin McBee
(Co-Founder & CDO)Brannin has a history in Proprietary Trading, having previously worked at Windy Bay Power and Active Power Investments. He also served as a VP at Fourth Floor Coastal and as an Associate at Elustria Capital PArtners.
Peter Salanki
(Co-Founder & CTO)Peter Previously served as a Director of Americas at Sandvine. Prior to that, he spent 11 years at Procera Networks as a Solutions Architect, Lead Architect, and Principal Solutions Architect.
Nitin Agrawal
(CFO)Nitin joined CoreWeave in 2024 as CFO. Prior to this, he was the VP of Finance at Google Cloud and CFO at Mapbox. He also spent nearly 5 years at AWS as CFO of Compute Services and 7 years at Microsoft as Group Manager of Finance.
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