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Full-time
Equity, Competitive Salary, Modern Offices
Posted 5d ago
~40 hrs/week
Responsibilities
Design and build tooling, workflows, and interfaces that enable customers to optimize and monitor large language models on Fractile hardware. Act as the bridge between external developers and internal engineering teams to shape APIs and roadmap priorities.
Requirements
Requires strong software engineering fundamentals with experience building developer-facing tools and at least one year of experience with CUDA or ROCm. Candidates should understand modern ML workloads and the practical challenges of deploying LLMs to production.
Full job description
Member of Technical Staff - Developer Experience
Location: Bristol / London - 3 days in the office, 2 days WFH
About Fractile
Fractile was founded in 2022 on the bet that, eventually, the world’s most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts.
The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems.
About the Software organisation at Fractile
Developer Experience sits within the Software organisation at Fractile, which is responsible for developing a full software stack for our groundbreaking AI inference systems. That's everything from ML compilers, device drivers and systems firmware, application level runtime and ecosystem integrations, ML and compute libraries, great developer tooling and a full portfolio of simulators, through to datacenter scale workload deployment solutions. At Fractile, we know that a fantastic software stack is a critical and central part of any AI inference solution and it sits at the heart of everything we're doing.
About the team & role
The Developer Experience team at Fractile helps shape how our customers interact with the Fractile inference accelerator. We work across the company to identify, create, and present information on how the system is being used, as well as providing the tooling to help optimise our customers' usage of the system, while keeping a shallow learning curve.
As a member of the Developer Experience team you will need to understand the current state of development for inference hardware. You will need to be able to identify what will work well for folk wanting to identify potential opportunities for performance improvements, while knowing what tooling will fit into an existing LLM engineers workflow with the minimal amount of disruption and effort.
About you
We’re looking for someone who is self-driven and capable of identifying tooling opportunities, designing those tools, and delivering them in a way which will fit in with an LLM engineers existing toolset. You will have worked in this area before, possibly as an FDE or at a company that provides inference services, using their own models, to others, and have the ability to develop new tools that are designed to be functional and easy to learn and use.
Key Requirements
Experience with inference frameworks such as Jax and/or PyTorch.
Experience of software development in Python, Rust, C/C++, or a similar language.
Experience monitoring and optimizing code written in CUDA, ROCm, OpenCL, or similar.
Experience monitoring and optimising LLM deployments with 50+ billion parameters.
Experience working with stakeholders across multiple teams.
What We Offer
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.
Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment.
Fractile is seeking to increase the clock speed of global progress, one chip at a time. We’ve recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us!
Export controls
Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process.
Fractile is building chips that remove every bottleneck to running large AI models at a global scale
Industry
Artificial Intelligence
Company size
51-200 employees
Founded
2022
Headquarters
London, London
LinkedIn followers
17,282
Total funding
$264M
Fractile is building chips, systems and software to radically improve the speed and cost of running frontier AI inference.
Existing hardware is good for training frontier AI models, but very poorly suited to subsequent inference of the trained model, which is increasingly defining the new era of AI compute workloads.
Fractile’s revolutionary approach to fusing computation with memory eliminates this bottleneck, and can scale to allow running the world’s largest models at a global scale.
We've rearchitected the inference stack from the ground up - silicon to software - to enable generational leaps in capability on the world’s hardest and most important problems.
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