Senior Engineer, CoreWeave
Storage
$143-210k
Offers discretionary bonus and equity awards
The essential cloud for AI
Open for applications
The essential cloud for AI
1001+ employees
Open for applications
$143-210k
Offers discretionary bonus and equity awards
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, Master’s, or PhD degree in Computer Science, Engineering, or a related field
- 8–10+ years of experience working in storage systems engineering or infrastructure
- Strong hands-on experience with object storage or distributed filesystems in production environments
- Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar
- Proficiency in a systems programming language such as Go, C, or Rust
- Proficiency leveraging AI tools to augment software development
- Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)
- Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures
- 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
- You love to grow and push the boundaries of your expertise
- You’re curious about distributed storage and the demands AI/ML workloads
- You’re an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems
What the job involves
- 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
- 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
- Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments
- Set the bar for developing metrics and dashboards to provide visibility into storage performance and health
- Analyze telemetry and system data to drive improvements in throughput, latency, and resilience
- Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack
- Share your knowledge and mentor other engineers on best practices in 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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