Senior / Staff Software Engineer, Product Infrastructure

**About Prometheus** Prometheus is building AI systems for engineering in the physical world. Behind them sits a platform that runs large, long\-lived computational workloads: fleets of agents and numerical solvers, very large binary artifacts, and results that have to be correct because real hardware depends on them. **The role** You will build the infrastructure this platform runs on. It is a small set of hard, coupled systems, and you will own one or more of them end to end: design, implementation, operations, and on\-call. * **Durable orchestration.** Workloads run for days across thousands of tasks. They must survive failure, checkpoint, resume, and stay steerable by humans and agents mid\-flight. * **Versioned artifact storage.** Git\-style semantics (branch, diff, merge) over large binary artifacts, on content\-addressed storage with aggressive deduplication, at terabyte\-to\-petabyte scale. * **CI and validation pipelines.** Merge queues where the gates are expensive computed checks, not just unit tests, and a change is validated by actually running it. * **Compute execution fabric.** Scheduling heterogeneous workloads, many on GPUs, across cloud fleets: batching, prioritization, budget enforcement, and streaming results back in real time. * **Agent harness.** Sandboxed, reproducible, observable execution for long\-running autonomous agents that write code, run tools, and spend real compute. **You might be a fit if** * You have 5\+ years building and operating distributed systems in production; for the Staff level, 10\+ years and a system you are known for. * You have seen real scale and carry the scars: at a database, streaming, or orchestration company; a multiplayer game backend; internet\-scale media storage; a simulation or GPU\-compute platform; or a build/CI system serving thousands of engineers. * You have gone deep in at least one of: durable workflow engines, storage engines or content\-addressed storage, high\-throughput schedulers, or build/merge systems. * You write production systems code (Go, Rust, or C\+\+) and are effective in Python. * You have carried a pager for stateful systems in production. * You want your work to matter in the physical world. **Strong pluses** * GPU scheduling or HPC job orchestration (Slurm, Ray, Kubernetes batch). * Deterministic simulation testing or serious correctness culture (FoundationDB, TigerBeetle, Jepsen lineage). * Exposure to scientific or geometric computing. Not required; we will teach you the domain. * Experience building infrastructure for AI agents: sandboxing, session persistence, tool execution.