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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это хорошо очерченная инфраструктурная роль в финансируемом AI hardware-стартапе с работой над специализированными процессами проектирования чипов; основные компромиссы - офисный формат в Великобритании и условия стартапа.
На переднем крае AI
Серьёзное финансирование
Современный стек
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Текст:
Hirify AI/Оригинал
TL;DR
Silicon Infrastructure Engineer (Python/Bazel): Building and supporting Python tooling, Bazel build workflows, and reproducible infrastructure for silicon verification, physical design, and EDA workloads with an accent on chip-development tooling, grid computing, and resource utilisation. Focus on integrating EDA tools across the chip lifecycle, diagnosing infrastructure bottlenecks, and optimising containerised and distributed workloads.
Location: London - JJ Mack or Bristol - The Crescent, United Kingdom
Employment: Full time
Company
hirify.global develops chips and systems for high-speed inference of frontier AI models, targeting thousands of tokens per second and long-context workloads.
What you will do
Create and support Python tooling for silicon verification and physical design workflows centred on silicon EDA tools.
Support Bazel builds and integrate new silicon EDA tools throughout the chip lifecycle.
Create and improve Python developer tools for frontend and backend silicon teams.
Make existing workflows cacheable and reproducible.
Work with engineering teams to build and optimise workloads.
Requirements
Experience with silicon EDA tooling.
Experience with build-system tooling such as Bazel or Pants.
Proficiency in modern software development languages, especially Python.
Experience with workload management and grid compute systems such as Slurm, LSF, or SGE.
Experience with containerisation frameworks such as Docker or Singularity, and container orchestration tools such as Kubernetes.
Experience with infrastructure as code, such as Ansible or Terraform, and maintaining compute infrastructure.
Experience setting up and monitoring observability tooling for resource utilisation, machine failures, and related infrastructure metrics, such as Prometheus or Zabbix.
Experience diagnosing and resolving network, storage, CPU, and RAM bottlenecks across complex workloads.
Culture & Benefits
Competitive salary reflecting experience and the specialist nature of the role.
Meaningful equity and ownership.
Private medical, dental, and vision coverage.
Contributory pension, 25 days of holiday plus bank holidays, and life or critical illness insurance.
Diverse and inclusive office environment with a commitment to Equal Employment Opportunity.
Hiring process
Certain roles may require additional eligibility checks because the work is subject to UK, US, and other international export control regulations.
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