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Senior ML Compiler Engineer

Fractile· Compiler
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Hybrid (London)Posted 3mo ago

About the role

Senior ML Compiler Engineer role focused on developing the machine learning compiler stack for Fractile’s AI acceleration hardware, enabling industry-leading performance of latest LLMs, in a hardware-software co-design environment. Based in Bristol or London.

Responsibilities

  • Develop the machine learning compiler stack for Fractile’s innovative AI acceleration hardware
  • Enable industry-leading performance of the latest LLMs on Fractile’s accelerators
  • Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology

Qualifications

  • Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM
  • Up-to-date knowledge of machine learning techniques and technologies
  • A good understanding of computer architecture and performance optimisation techniques
  • Excellent C/C++ skills and solid experience of industry standard development tools and technologies
  • An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment
  • Computer Science, Electronic Engineering, Maths, Physics, or related degree and 4+ years of industry experience

Skills

Required:ML compiler developmentMLIR or TVMC/C++
Nice to have:Computer architectureHardware-software co-design

Benefits

  • Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role.
  • Equity & Ownership: meaningful equity so everyone shares in the value creation
  • Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Fractile

Radically Accelerate Frontier Model Inference

Fractile is designing AI compute systems that will enable the next generation of AI scaling: frontier model inference, 25x faster, at 1/10th the cost.

frontier model inferenceAI computecompute systemsAI scalinginference hardwareprocessor innovation
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