Build a reference implementation of a full AI inference stack in Rust.
•We're building a new Rust engineering team from scratch
•greenfield software, with real scope to influence architecture, engineering practices, and direction from day one.
•Key Responsibilities Build a reference implementation of a full AI inference stack in Rust, tuned to Fractile's custom hardware Write a Linux kernel driver in Rust Develop cloud-based tooling for data centre deployments Research the state of the art in AI inference and bring new ideas into the codebase Collaborate closely with hardware engineers in a true co-design loop Requirements Strong Rust skills
•or senior-level experience in a systems language (C, C++) with demonstrable Rust proficiency via open source or personal projects Experience serving AI workloads (e.g. vLLM, SGLang, or Rust equivalents), OR deep systems-level experience in adjacent areas such as low-latency data movement, paging, caching, or real-time processing A solid background in computer science and the ability to read unfamiliar code, understand it quickly, and identify problem areas Comfort working autonomously in areas of ambiguity
•you’ll often be the person making sense of a problem for the first time