Silicon Infrastructure Engineer

Silicon Infrastructure Engineer

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.

 Key Responsibilities:

• Create and support Python tooling and silicon verification and physical design workflows centred around silicon EDA tooling, which will require coding and build-system knowledge to assist with tasks faced by different teams.
• Bazel build system support for new silicon EDA tools required for throughout the chip lifecycle
• Create and improve Python developer tools across frontend and backend silicon teams
• Improve existing workflows to make them cacheable and reproducible
• Work with the engineering team to build and optimise their workloads

It would be great if you have:

• Experience of silicon EDA tooling
• Experience working with build systems tooling, such as Bazel.
• Experience working with workload management tools, such as Slurm.
• Experience working with container orchestration tools, such as Docker, and Kubernetes.
• Experience working with infrastructure as code, such as Ansible, or Terraform and maintaining compute infrastructure
• Experience of setup and monitor observation tooling for resource utilisation, machine failures, and more (e.g. Prometheus/Zabbix)

Preferred Qualifications:

• Proficient in modern software development language(s) especially Python
• Proficient dealing with modern build systems e.g. Bazel, Pants