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?
We are looking for Senior ML Runtime Engineers with experience of key ML software ecosystem components to work on inference server integrations and the runtime stack of our ground-breaking AI accelerators. You can be based in either our London office or Bristol, the choice is yours.
In this role, you will:
- Integrate Fractile's innovative AI acceleration hardware with leading open source projects like PyTorch, vLLM, and SGLang
- Develop our underlying high-performance Rust runtime
- Work with hardware, lower-level software, and ML engineers in a highly collaborative hardware-software co-design methodology
It would be great if you have:
- Proven experience of working with major ML software ecosystem projects
- A good understanding of the latest ML workloads and inference deployment challenges
- Excellent Python and Rust skills and solid experience of industry standard development tools and technologies
- A 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 5+ years of industry experience
You may also have:
- Experience of working with GPUs or other machine learning accelerators
- Previous experience in a startup or small team environment
Skills Required
- Experience working with major ML software ecosystem projects
- Excellent skills in Python and Rust
- 5+ years of industry experience
What We Do
Fractile is developing AI chips designed for efficient AI model inference, aiming to radically improve the speed and cost of running frontier AI models by eliminating memory bottlenecks.
