← Все вакансии/Senior/anthropic
SeniorHybridSydney, Australia

Staff Engineer

A
anthropic
Уровень
Senior
Формат
Hybrid
О роли

Описание вакансии

About the company

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities
  • Build automation to support datacenter fleets at scale.
  • Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
  • Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
  • Work closely with our Networking team to ensure end-to-end connectivity across all sites.
  • Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.
Requirements
  • Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
  • End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
  • Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
  • Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
  • Ability to communicate clearly and build consensus with a wide range of stakeholders.
  • Comfort navigating ambiguity and making progress on complex, cross-functional problems.
  • Preferred qualifications: 8+ years of experience in datacenter infrastructure management, or a closely related discipline; hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands; familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS; experience building or contributing to datacenter automation or fleet management platforms; experience building and deploying server operating system distributions across large server fleets; background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider; experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.
Conditions
  • Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship: we do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
Стек и навыки

С чем работаем