Warp Sciences
Member of Technical Staff - Infrastructure
South San Francisco · On-site · Staff · Full-time · Posted Oct 21, 2026
About the job
Build and operate scalable infrastructure, data systems, and runtimes for production AI training and inference workloads.
What you'll do
- Design and operate infrastructure and data systems for AI training and inference.
- Optimize compute, data storage, performance, reliability, and infrastructure cost.
- Own production reliability and improve deployment, orchestration, and developer tooling.
What they ask for
- Track record designing, shipping, and operating production systems at scale, with ownership beyond launch.
- Strong fundamentals in distributed systems, Linux, networking, storage, concurrency, and performance engineering.
- Experience with cloud infrastructure, container orchestration, infrastructure as code, and data infrastructure.
- Hands-on experience supporting and optimizing AI training and inference, including GPU infrastructure and distributed execution.
Nice to have
- Experience with reinforcement learning infrastructure or model-serving and inference optimization.
- Experience with GPU scheduling, high-performance networking, heterogeneous compute, or robotics.
AI focus
Build and optimize infrastructure for AI training and inference; work with AI teams and use AI tools in engineering workflows.
Model-written summary · the original posting is authoritative