Staff Engineer, Datacenter Server Lifecycle (AI)

Location: Sydney, Australia (Hybrid - minimum 25% office attendance)

Company

Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

• Build automation to support and manage datacenters containing tens of thousands of servers.
• Define and own the end-to-end system lifecycle strategy, from provisioning and deployment to decommissioning.
• Partner with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
• Collaborate with the Networking team to ensure seamless end-to-end connectivity across all sites.
• Develop and maintain tooling to track machine health, configuration, and operational status across the fleet.

Requirements

• Hands-on experience with server hardware, rack deployment, cabling, and troubleshooting at scale.
• Deep understanding of hardware lifecycle management, including asset tracking and provisioning workflows.
• Proficiency in at least one programming language such as Python, Rust, Go, or Java.
• Working knowledge of Kubernetes and large-scale cloud providers (AWS, Azure, GCP).
• Must be based in Sydney, Australia to comply with the hybrid office policy.
• Willingness to travel occasionally to datacenter sites across North America.

Nice to have

• 8+ years of experience in datacenter infrastructure management or related disciplines.
• Experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs).
• Familiarity with LinuxBoot, NixOS, or similar modern provisioning and OS tooling.
• Background in large-scale capacity planning and hardware refresh at a hyperscaler.
• Expertise in hardware security concepts like Secure Boot, TPM, and hardware attestation.

Culture & Benefits

• Competitive compensation and benefits with optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and high-quality collaborative office spaces.
• Visa sponsorship available for qualified candidates.
• Strongly collaborative environment focused on high-impact AI research.