Silicon Infrastructure Engineer (Python & EDA Tools)

Fractile Ltd.; Greater London; Híbrido; GBP 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Private Medical

Dental and Vision

Contributory Pension

25 Days holiday

Life/Critical Illness Insurance

Resumo da oferta

Fractile Ltd. is hiring for a role focused on building Python tooling and pipelines to support silicon verification and physical design workflows.

The candidate will work with silicon EDA tooling, Bazel, and modern workload management and container orchestration stacks to optimise throughput across the chip lifecycle. Strong experience with Python development, build systems, and infrastructure as code is essential.

Qualificações

• Experience with silicon EDA tooling.
• Experience with build systems tooling (Bazel).
• Experience with workload management tools (Slurm).
• Experience with container orchestration tools (Docker, Kubernetes).
• Experience with infrastructure as code (Ansible or Terraform).
• Experience with monitoring/observability tooling (Prometheus or Zabbix).

Responsabilidades

• Create and support Python tooling and silicon verification and physical design workflows centred around silicon EDA tooling.
• 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

Conhecimentos

Python

Ferramentas

Bazel

Slurm

Docker

Kubernetes

Ansible

Terraform

Prometheus

Zabbix

Descrição da oferta de emprego

Fractile Ltd. is hiring for a role focused on building Python tooling and pipelines to support silicon verification and physical design workflows.

The candidate will work with silicon EDA tooling, Bazel, and modern workload management and container orchestration stacks to optimise throughput across the chip lifecycle. Strong experience with Python development, build systems, and infrastructure as code is essential.