Staff Software Engineer, CoreWeave
Storage
$207-303k
+ Discretionary bonus, equity awards (all based on eligibility) & Ability to Participate in Employee Stock Purchase Program
The essential cloud for AI
Be an early applicant
The essential cloud for AI
1001+ employees
Be an early applicant
$207-303k
+ Discretionary bonus, equity awards (all based on eligibility) & Ability to Participate in Employee Stock Purchase Program
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 in Computer Science, Engineering, or a related field, or equivalent experience
- 10+ years in storage systems engineering or infrastructure
- Hands-on production experience with distributed file systems or block storage
- Storage protocols (e.g. NFS, S3) and file systems such as Ceph, Lustre, DAOS, or similar
- Proficiency in a systems programming language such as Rust, C++, or Go
- Cloud-native infrastructure, Kubernetes, and scalable system architecture
- Storage observability and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)
- Strong debugging in distributed, high-performance environments, and clear communication across teams
- 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
- To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
What the job involves
- We're looking for a Staff Storage Engineer to design, build, and operate the file and block storage behind our high-performance AI storage platform
- . You'll build reliable, scalable, high-throughput systems that power some of the largest and most innovative AI workloads in the world, working closely with infrastructure, compute and platform teams
- Design and implement highly scalable multi-tenant file and block storage, from the data path through the control plane
- Build distributed file storage and durable block volumes, and integrate dedicated storage clusters into customer environments
- Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize performance
- Improve reliability, durability, and observability across the storage stack using telemetry, metrics, and dashboards
- Partner with platform, product, and infrastructure teams to deliver storage capabilities across the stack
- Mentor other engineers on building distributed, high-performance systems
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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