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Developer Engineer

Job in Bristol, Washington County, Virginia, 24202, USA
Listing for: Fractile
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Developer Experience Engineer

At Fractile, we're taking a revolutionary approach to computing to run the world's largest language models lding silicon, systems and software that redefine the frontier of AI only matters if developers can actually get their models running on it quickly and predictably, which is where you come in.

We're looking for Developer Experience Engineers to build the tooling and workflows that companies will use to optimise their large language models onto our next-generation inference hardware.

In this role, you will:
  • Design and build the tools that customers use to run, optimise, and monitor large language models on Fractile hardware.
  • Build the interfaces to existing diagnostic, profiling, and observability tools that let developers understand performance profiles, debug issues, and optimise their deployments.
  • Write the documentation, quick starts, 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 — turning real deployment pain into roadmap priorities.
  • Work in a tight hardware-software co-design loop with ML compiler, runtime, systems software, and silicon engineers to shape APIs and abstractions before they ossify.
It would be great if you have:
  • Strong software engineering fundamentals and experience building developer-facing tooling, SDKs, APIs, or platforms that other engineers depend on.
  • Excellent Python skills, with solid experience of one or more systems languages such as Rust, C++, or Go.
  • A good understanding of modern ML workloads and the practical challenges of deploying large language models to production.
  • Empathy for the developer experience — you instinctively reduce the number of steps, surprises, and footguns between a user and a working result.
  • A creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment.
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