Назад
6 дней назад

Staff+ Software Engineer (Distributed Systems)

320 000 - 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
Staff+ Software Engineer (Distributed Systems) (AI/Safeguards): Building monitoring, enforcement, and sandboxed runtime systems for AI agents across multiple cloud environments with an accent on distributed infrastructure, isolation, observability, and data residency. Focus on designing secure agent execution platforms, managing large-scale capacity and service-level objectives, and detecting unwanted model behavior.

Location: New York City, NY or San Francisco, CA; hybrid policy requires staff to be in an office at least 25% of the time

Annual salary: $320,000–$485,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Develop monitoring systems that detect unwanted model behavior and support automated enforcement and analyst review.
  • Deploy monitoring systems across multiple clouds and provider environments using shared pipelines, smoke tests, observability, and alerting.
  • Design and harden sandboxed runtimes for AI agents, including isolation, network egress controls, least-privilege access, audit logging, and insider-risk controls.
  • Manage cost and capacity for large volumes of long-running agent workloads while meeting service-level objectives.
  • Partner with engineers, researchers, security, privacy, and legal teams to ship trusted detection capabilities.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or comparable experience.
  • Proficiency in Python, distributed systems, and infrastructure as code.
  • Experience with multiple cloud providers or provider-agnostic infrastructure.
  • Experience building and operating large-scale distributed infrastructure such as data platforms, control planes, or job schedulers.
  • Experience with sandboxing and isolation technologies, including containers, microVMs, or network policy, or with a systems language such as Rust.
  • Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Nice to have

  • 8+ years of software engineering experience.
  • Experience handling sensitive or regulated data with access control, auditability, retention, and data residency requirements.
  • Experience running LLM-based agents in production.
  • Experience with integrity, spam, fraud, or abuse detection and mitigation.

Culture & Benefits

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

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