Fractile is a UK AI hardware startup building next-generation inference chips and systems for frontier AI.
<div class="p-rich_text_section"> <div class="layout-content"> <div class="notion-selectable notion-page-block" data-block-id="14b2905b-d614-8006-a80f-dc58ff451e32"> <p><span style="font-size: 12pt;">At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved?</span></p> <p><span style="font-size: 12pt;">We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our <strong>Bristol office or London,</strong> the choice is yours.</span></p> <p><span style="font-size: 12pt;"><strong>Why Fractile: </strong>We're building something that doesn't exist yet.</span></p> <p><span style="font-size: 12pt;">Fractile isn't another AI startup gluing together frameworks. We are designing a full-stack execution engine: hardware, compiler, runtime, to build the world's largest language models 100 x faster than today's systems. That ambition forces us to rethink everything from first principles.</span></p> <p><span style="font-size: 12pt;">For compiler engineers, this is a rare moment: the architecture is still being shaped. The IR, the lowering strategy, the optimisation passes, the execution model - you get to define its future.</span></p> <p><span style="font-size: 12pt;"><strong>In this role, you will:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop the machine learning compiler stack for Fractile’s innovative AI acceleration hardware</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Enable industry-leading performance of the latest LLMs on Fractile’s accelerators</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology</span></li> </ul> <p><span style="font-size: 12pt;"><strong>It would be great if you have:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Up-to-date knowledge of machine learning techniques and technologies</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">A good understanding of computer architecture and performance optimisation techniques</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Excellent C/C++ skills and solid experience of industry standard development tools and technologies</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience</span></li> </ul> <p><span style="font-size: 12pt;"><strong>You may also have:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Previous experience in a startup or small team environment</span></li> </ul> </div> </div> </div>