Member of Technical Staff - Distributed Systems

Gimlet is building the first multi-silicon neocloud for fast, efficient AI inference. The platform intelligently partitions and routes workloads across heterogeneous hardware, enabling performance and efficiency improvements. Customers deploy through production-grade APIs without managing hardware. The role involves designing and operating distributed systems that schedule, route, and coordinate AI workloads across thousands of nodes and diverse hardware architectures. In the first 12-18 months,

Strong software engineering fundamentals. Experience building or operating distributed systems in production environments. Comfort reasoning about concurrency, failure modes, and tradeoffs in large-scale systems. Bachelor's degree in a relevant field, or an equivalent combination of education, training, and professional experience. Preferred: Experience with Kubernetes or Kubernetes-adjacent systems, service-oriented architectures using RPC or asynchronous messaging, scheduling or resource