Fireworks AI
Member of Technical Staff, Data Infrastructure
$175K–$220K
San Mateo · Hybrid · Staff · Full-time · Posted Nov 5, 2026
- Experience
- 5+ years; no alternatives stated.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
About the job
Build and operate a high-performance data infrastructure layer that stores, caches, and moves data across clouds to support GPU training and inference workloads.
What you'll do
- Build a unified data layer spanning parallel file systems, object storage, distributed caches, and key-value stores.
- Automate data placement, replication, and movement for datasets, checkpoints, model weights, and KV cache.
- Deploy, operate, benchmark, and tune storage infrastructure for production GPU workloads.
What they ask for
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years designing, building, and operating production storage, caching, or data infrastructure at scale.
- Strong C/C++, Rust, or Go skills, including performance-critical data path code; Python or Go for automation.
- Hands-on Kubernetes experience, including CSI, plus experience operating storage clusters across clouds using infrastructure-as-code tools.
Nice to have
- Core contributor or owner of a storage, caching, or KV system.
- Experience with high-performance computing or large-scale AI clusters and AI I/O patterns.
Pay
$175K – $220K USD base salary
Tools
C/C++, Rust, Go, Python, Kubernetes, CSI, Terraform, Pulumi
AI focus
Enable AI training and inference by ensuring datasets, checkpoints, model weights, and KV cache are available to GPU workloads at the right time and scale.
Model-written summary · the original posting is authoritative