Silicon Infrastructure Engineer
Hybrid (London)Posted 3mo ago
About the role
Silicon Infrastructure Engineer role at Fractile in London, focusing on tooling, silicon verification, physical design workflows, and infrastructure to enable high-throughput AI inference through optimized hardware and software integration.
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
Qualifications
- 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)
Skills
Required:PythonBuild systems
Nice to have:Silicon EDA toolingWorkload managementContainerizationInfrastructure as codeMonitoring / observability
Benefits
- 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.
Last updated Jul 23, 2026. Interested? Apply on the company site.
About Fractile
Radically Accelerate Frontier Model Inference
Fractile is designing AI compute systems that will enable the next generation of AI scaling: frontier model inference, 25x faster, at 1/10th the cost.
frontier model inferenceAI computecompute systemsAI scalinginference hardwareprocessor innovation
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