Design and build tools for optimizing large language models on Fractile's hardware.
•We're looking for Developer Experience Engineers to design and build the tooling and workflows that companies will use to optimise their large language models on Fractile's next-generation inference hardware.
•Key Responsibilities Design and build the tools customers use to run, optimise, and monitor large language models on Fractile hardware Build interfaces to diagnostic, profiling, and observability tools that help developers understand performance, debug issues, and optimise deployments Write documentation, quickstarts, reference examples, and tutorials that define a developer's first and lasting impression of our platform Requirements Strong software engineering fundamentals and experience building developer-facing tooling, SDKs, APIs, or platforms that other engineers depend on.
•Experience developing for inference hardware and/or GPUs (e.g. one year or more using CUDA or ROCm).
•A good understanding of modern ML workloads and the practical challenges of deploying large language models to production.
•An instinct for reducing the number of steps, surprises, and rough edges between a user and a working results.