Member of Technical Staff - Distributed Systems

Mission Gimlet Labs is seeking a Member of Technical Staff focused on distributed systems. In this role, you will build the core platform that schedules, routes, and operates AI workloads reliably at production scale. You will work on systems that coordinate execution across thousands of nodes, expose stable production APIs, and ensure workloads run predictably under real-world load and failure conditions. This role is well‑suited for engineers who enjoy building foundational infrastructure, understanding systems end‑to‑end, and operating at scale. Responsibilities Design and build distributed systems that orchestrate and operate AI workloads at large scale Develop scheduling, routing, and resource management components that coordinate execution across many nodes and services Build production-grade APIs and control planes for deploying and managing workloads Implement mechanisms for reliability, availability, and fault tolerance in distributed environments Instrument systems for observability and debugging at scale Work closely with compilers, runtimes, and hardware to ensure end‑to‑end system correctness and performance Qualifications 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 Preferred Qualifications Experience with Kubernetes or Kubernetes‑adjacent systems beyond basic usage Experience designing service‑oriented architectures using RPC or asynchronous messaging Familiarity with scheduling, queues, or resource management systems Experience building reliable APIs and operating systems under high load Software development experience in languages commonly used for systems development (e.g., Go, C++, Python) Compensation Range: $150K - $350K #J-18808-Ljbffr