Fractile · London or Bristol · Full-time · Hybrid
About Fractile
Fractile is building silicon, systems, and software that redefine the frontier of AI — running the world's largest language models at radically higher speed and lower cost. Founded in 2022, our 100+ person team spans hardware and software, and we're growing fast.
But revolutionary hardware only matters if developers can get their models running on it quickly and predictably. That's where you come in.
The Role
We're looking for Developer Experience Engineers to design and build the tooling and workflows that companies will use to optimise their large language models on Fractile's next-generation inference hardware.
This is a role that sits at the intersection of deep systems knowledge and genuine empathy for developers. You'll shape how the outside world experiences Fractile — from a customer's first quickstart guide through to advanced performance profiling. You'll also be the voice of that external developer inside the company, turning real deployment pain into roadmap priorities.
You'll work in a tight hardware-software co-design loop alongside ML compiler, runtime, systems software, and silicon engineers — influencing APIs and abstractions before they're set in stone.
What You'll Do
- Design and build the tools customers use to run, optimise, and monitor large language models on Fractile hardware
- Build interfaces to diagnostic, profiling, and observability tools that help developers understand performance, debug issues, and optimise deployments
- Write documentation, quickstarts, reference examples, and tutorials that define a developer's first and lasting impression of our platform
- Act as the voice of the external developer inside Fractile — translating real deployment pain into roadmap priorities
- Collaborate with ML compiler, runtime, systems software, and silicon teams to shape APIs and abstractions early in the design process
What We're Looking For
We care about depth of knowledge, empathy for developers, and a genuine drive to make complex things feel simple. You'll be a strong fit if you have:
- Strong software engineering fundamentals and experience building developer-facing tooling, SDKs, APIs, or platforms that other engineers depend on.
- Experience developing for inference hardware and/or GPUs (e.g. one year or more using CUDA or ROCm).
- A good understanding of modern ML workloads and the practical challenges of deploying large language models to production.
- An instinct for reducing the number of steps, surprises, and rough edges between a user and a working results.
Bonus Points
These aren't requirements, but they'd make you stand out:
- Experience with inference serving stacks (vLLM, SGLang, TensorRT-LLM, Triton).
- A track record of contributing to or maintaining open source developer tools and ML ecosystem projects
- Experience writing technical documentation and developer education content.
How We Work
- Ownership and autonomy — you'll have real agency to drive your work forward
- Rapid iteration — we work directly with leadership to move from idea to product on fast-moving timelines
- Full-stack collaboration — hardware, software, silicon, and modelling teams work closely together
- Hybrid working: 3 days onsite (London or Bristol), 2 days remote — we're open to discussing flexibility where it works for the role
- A team-first mindset — the best idea gets shipped, regardless of where it comes from
Why Fractile
- Shape how the world's developers experience next-generation AI hardware
- A collaborative culture built on curiosity, initiative, and technical depth
- Modern offices in London and Bristol — choose your base
- Competitive salary and equity in a fast-growing company
Export Control & Security Clearance
Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.
Fractile is committed to building a diverse and inclusive team. We welcome applications from people of all backgrounds and actively encourage candidates from underrepresented groups to apply.
Ready to apply? Send us your CV and a brief note on what excites you about this role.
Skills Required
- Strong software engineering fundamentals and experience building developer-facing tooling, SDKs, APIs, or platforms
- Experience developing for inference hardware and/or GPUs (e.g., one year or more using CUDA or ROCm)
- Good understanding of modern ML workloads and practical challenges of deploying large language models to production
- Instinct for reducing steps, surprises, and rough edges between a user and a working result (developer empathy)
- Experience with inference serving stacks (vLLM, SGLang, TensorRT-LLM, Triton)
- Track record contributing to or maintaining open source developer tools and ML ecosystem projects
- Experience writing technical documentation and developer education content
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.
