Это предложение топ-уровня в одной из ведущих ИИ-лабораторий мира с исключительной оплатой и ролью с огромным влиянием на инфраструктуру ИИ.
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Hirify AI/Оригинал
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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