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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.
We are seeking an Infrastructure Engineer (Linux) to help build and maintain the compute, storage, and networking foundations that support our silicon development workloads, supporting an on-premise compute environment used for computationally-intensive engineering work, while growing your skills across Linux systems administration, HPC-style cluster management, networking, storage, and performance tuning. This is a great opportunity for someone with 2-3+ years of solid Linux experience who picks up new technical areas quickly, works methodically, and is comfortable operating independently, and who wants to develop deeper expertise in infrastructure, high-performance computing, and large-scale systems engineering.
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Exposure to or knowledge of HPC (High Performance Computing) environments or cluster compute concepts.
Familiarity with infrastructure-as-code tools (e.g. Ansible, Terraform).
Linux certifications (e.g. RHCSA, LFCS, or similar).
Experience working in a data centre environment.
Knowledge of server hardware (e.g. installation, diagnostics, component replacement).
Silicon industry background.
Ownership and execution: you will have full agency to drive your work forward
Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is
UK private semiconductor startup building AI inference chips and systems for companies running frontier models.
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Entry · 2+ years experience
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