Назад
9 месяцев назад

Software Engineer, AI Reliability (AI)

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

Текст:
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TL;DR
Software Engineer, AI Reliability (AI): Improving reliability across critical AI serving paths from SDK through network, API layers, serving infrastructure, and accelerators, with an accent on designing and implementing monitoring, high-availability infrastructure, and leading incident response for large language model systems. Focus on systematic improvements, understanding system composition, and ensuring Claude's reliability for users.

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid attendance is required at least 25% of the time.

Annual salary: $325,000–$485,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems with a focus on AI safety and societal benefit.

What you will do

  • Develop Service Level Objectives for large language model serving systems, balancing availability, latency, and development velocity.
  • Design and implement monitoring and observability across the token-serving path.
  • Build high-availability serving infrastructure across multiple regions and cloud providers.
  • Lead incident response for critical AI services, including recovery, incident reviews, and systematic improvements.
  • Improve the reliability of safeguard model serving in support of site reliability and AI safety.

Requirements

  • Strong background in distributed systems, infrastructure, reliability engineering, or SRE.
  • Ability to investigate unfamiliar systems during incidents and drive resolution.
  • Holistic understanding of system composition, interfaces, and failure points.
  • Strong communication, collaboration, ownership, and cross-team relationship-building skills.
  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.
  • Ability to work from one of the listed US offices with at least 25% in-office attendance.

Nice to have

  • Experience as an SRE, Production Engineer, or in a similar reliability-focused role on large-scale systems.
  • Experience operating model serving or training infrastructure with more than 1,000 GPUs.
  • Experience with GPUs, TPUs, or Trainium, and with RDMA or InfiniBand.
  • Expertise in AI observability, chaos engineering, resilience testing, or open-source infrastructure and ML tooling.

Culture & Benefits

  • Collaborative work across research, engineering, policy, and business teams.
  • Flexible working hours and an office environment designed for collaboration.
  • Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
  • Visa sponsorship is available, subject to role and candidate eligibility.

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