Member of Technical Staff, Data Infrastructure
Fireworks AI · San Mateo
Infrastructureremotesenior$175k–$220k
At a glance
Highlights
- Build a unified, high-performance data layer spanning multiple clouds for GPUs.
- Make training start with no staging step and inference cold-start without waits.
- Solve data placement, replication and movement automatically at GPU scale.
What they offer
- Equity
Ideal candidate
A depth-first storage or caching builder who loves low-level performance and operating petabyte-scale systems, eager to apply that craft to AI infrastructure at GPU scale.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent practical experience
- 5+ years designing, building and operating storage, caching or data infrastructure in production at scale
- Strong software development in C/C++, Rust or Go with performance-critical data path code
- Deep understanding of distributed storage fundamentals including consistency, replication, consensus, metadata scaling and failure recovery
- Hands-on Kubernetes including CSI to mount high-performance volumes into ephemeral GPU pods
- Experience deploying and operating storage clusters across clouds with Terraform or Pulumi
- Proficiency with benchmarking and profiling tools like fio, iperf3, perf and eBPF
Lab profile
About Fireworks AI
Platform for specialized intelligence to build, train, and serve tailored AI models.
What they build
- Platform to build, train, and serve tailored AI models
- Hundreds of open models for production AI
- Text, image, embedding, audio, and multimodal models
Known for
- Founded by team behind PyTorch
- Specialized intelligence tailored to customer data and workflows
- Production-grade AI for text, image, audio, and multimodal workloads
Key facts
- Backed by AMD, NVIDIA, Sequoia Capital, Benchmark Capital, Index Ventures, Lightspeed, TCV, and Atreides
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