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Fractile is seeking a Rust Software Engineer to build a reference AI inference stack in Rust, tuned to Fractile’s custom hardware, and to write a Linux kernel driver. You will develop cloud-based tooling for data centre deployments and explore cutting-edge AI inference ideas in collaboration with hardware engineers.
You will shape architecture and engineering culture while working from Bristol or London, contributing to a truly iterative, co-design environment focused on performance and scale.
Fractile was founded in 2022 on the bet that, eventually, the world’s most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re‑invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts.
The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems.
Developer Experience sits within the Software organisation at Fractile, which is responsible for developing a full software stack for our groundbreaking AI inference systems. That’s everything from ML compilers, device drivers and systems firmware, application level runtime and ecosystem integrations, ML and compute libraries, great developer tooling and a full portfolio of simulators, through to datacenter scale workload deployment solutions. At Fractile, we know that a fantastic software stack is a critical and central part of any AI inference solution and it sits at the heart of everything we’re doing.
We are building a new Rust engineering team from scratch — greenfield software, with real scope to influence architecture, engineering practices, and direction from day one. The team works in a genuinely interdisciplinary environment where software engineers shape hardware decisions and vice versa.
As a Rust Engineer you will 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, and develop cloud‑based tooling for data centre deployments. You will research the state of the art in AI inference, bring new ideas into the codebase, and collaborate closely with hardware engineers in a true co‑design loop. You will help shape the architecture, direction, and engineering culture of a new team from the ground up.
You are energised by unfamiliar problems. You research the state of the art, form your own views, and implement them. You may be a senior engineer coming from a systems language background who has built genuine Rust proficiency through open‑source or personal projects, or you may have deep experience serving AI workloads at scale. Either way, you are comfortable making sense of a problem for the first time and working autonomously in areas of ambiguity. You have a solid computer science foundation and the ability to read unfamiliar code quickly, understand it, and identify where things can be better.
Fractile is seeking to increase the clock speed of global progress, one chip at a time. We’ve recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us!
Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We’ll be transparent about this throughout the hiring process.