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Fractile

Specialized AI inference chips and software

Senior Linux Kernel Driver Engineer

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • You have shipped and maintained Linux kernel device drivers in production.
  • Experience with PCIe-attached devices and custom hardware interfaces is ideal.
  • You have strong systems and performance instincts, and can reason about computer architecture, concurrency, and where the time goes.
  • You have excellent C and/or Rust skills and a pragmatic approach to building high-quality, maintainable, and secure kernel code.
  • You enjoy hard kernel and system-level problems and take them end-to-end until the measurements move.
  • A degree in Computer Science, Electronic Engineering, Maths, Physics, or a related field, and 3+ years of industry experience are required.

Responsibilities

  • Design, develop, and maintain the Linux kernel driver for Fractile’s AI accelerator.
  • Build performance-critical kernel-space paths for PCIe device management, DMA, memory handling, interrupt handling, and robust recovery.
  • Define and evolve the userspace interface on which the runtime depends, focusing on stability, debuggability, and performance.
  • Work in a close co-design loop with hardware, firmware, runtime, and machine learning engineers to validate assumptions, iterate on behaviour, and close gaps early.
  • Improve tooling and workflows so the team can move quickly without breaking things.

Desired Qualifications

  • Experience with GPUs, machine learning accelerators, or high-throughput I/O such as NICs, RDMA, or storage.
  • Hardware bring-up or pre-silicon simulation experience.
  • Performance experience with profiling, tracing, benchmarking, or regression tracking.

About the Company

Fractile

Specialized AI inference chips and software

Fractile designs specialised AI inference chips, systems, and software to run very large AI models. Its approach packs DRAM directly on top of logic to boost memory bandwidth and capacity, offering an alternative to HBM and SRAM-based designs. The company operates full-stack across research, hardware, software, and systems, delivering an integrated hardware-software stack. Its goal is to enable scalable, high-performance model inference by meeting demanding memory needs with a complete solution.

Company size
51-200
Company stage
Series C
Total funding
$984.1M
Headquarters
London, United Kingdom
Founded
2022

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