CoreWeave
Senior Specialist Field Engineer - Storage
$182K–$242K
San Francisco, CA / Sunnyvale, CA / Bellevue, WA +3 · Senior · Full-time · Posted May 16, 2025
- Location
- San Francisco, CA / Sunnyvale, CA / Bellevue, WA
Bellevue, WA
San Francisco, California, United States
Sunnyvale, California, United States - Experience
- 7+ years building or operating large-scale storage systems, as a storage, systems, or software engineer, or in a deeply technical storage-focused field role.
- Education
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- Visa sponsorship
- The role requires access to export-controlled information. Applicants must meet one of the stated U.S. person, export authorization, or eligibility-to-obtain-authorization conditions; CoreWeave may decline to pursue export licensing.
About the job
Design and troubleshoot customer storage architectures for AI workloads, and collaborate with customers and engineering teams to improve CoreWeave’s storage products.
What you'll do
- Design storage architectures for complex customer needs, including failure modes and their impact.
- Troubleshoot storage issues across application I/O, NFS clients, CSI drivers, networks, and storage clusters.
- Identify product gaps, work with engineering on improvements, and lead customer overviews, proofs of concept, and workshops.
What they ask for
- Solid working knowledge of NFS (v3 and v4) and S3-compatible object storage.
- Hands-on experience with a distributed or parallel filesystem such as VAST, WEKA, Lustre, or Spectrum Scale.
- Deep understanding of Kubernetes storage, including CSI drivers, PVs, PVCs, and StorageClasses.
- Experience benchmarking with fio and interpreting results.
Nice to have
- Experience debugging NFS over TCP at scale and diagnosing storage issues caused by networking.
- Experience with storage for AI workloads, large-scale failures, storage source code, or storage open source contributions.
Pay
USD $182,000 - $242,000 base salary
Tools
NFS, S3, VAST, WEKA, Lustre, Spectrum Scale, Kubernetes, fio
AI focus
Supports storage for AI training and inference workloads, including streaming training data, checkpointing, and read caching.
Model-written summary · the original posting is authoritative