Назад
6 месяцев назад

Staff Software Engineer (AI Infrastructure)

325 000 - 485 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Software Engineer (AI Infrastructure): Building and scaling compute infrastructure for AI models with an accent on node lifecycle management, automated hardware repair, and cluster orchestration. Focus on optimizing accelerator capacity (GPU/TPU), designing high-availability distributed systems, and scaling infrastructure to hundreds of thousands of hosts.

Location: London, UK. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office presence.

Annual salary: £325,000–£485,000 GBP

Company

Anthropic develops reliable, interpretable, and steerable AI systems focused on safety and societal benefit.

What you will do

  • Own the technical strategy and roadmap for accelerator node lifecycle management, including ingestion, provisioning, health checks, and automated repair.
  • Build and scale AI compute clusters across multiple cloud providers and accelerator families.
  • Design systems that detect, isolate, and remediate unhealthy hardware while improving fleet reliability and reducing stranded capacity.
  • Define infrastructure architecture and solve complex technical problems directly or through technical leadership.
  • Collaborate with cloud providers and research, inference, and product teams on compute, data, and infrastructure strategy.
  • Establish incident response, postmortem, on-call, mentoring, and technical coaching practices.

Requirements

  • Deep expertise in distributed systems, reliability, and cloud platforms such as Kubernetes, infrastructure as code, AWS, GCP, or Azure.
  • Strong proficiency in Rust, Go, Python, or another systems language, plus Terraform infrastructure-as-code experience.
  • Hands-on experience with machine learning accelerators, including GPUs, TPUs, or Trainium.
  • Experience leading complex, multi-quarter initiatives across multiple teams or systems and aligning senior stakeholders.
  • Bachelor’s degree or an equivalent combination of education, training, and relevant experience.
  • Preferred experience includes 7+ years in software engineering, hyperscale compute infrastructure, Kubernetes internals, low-level systems, high-performance networking, and production reliability.

Culture & Benefits

  • Collaborative research environment focused on large-scale AI safety and trustworthy AI.
  • Flexible working hours and office-based collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation and benefits with optional equity donation matching.
  • Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.

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