Staff Engineer, Datacenter Server Lifecycle

SignalAI; New York (NY); Hybrid; USD 320,000 - 405,000; Full time

Job summary

Anthropic is seeking a Staff Engineer to own the end-to-end operational journey of every machine in our datacenters, from provisioning to decommissioning. You will shape services, tooling, standards, and AI-native workflows to drive efficiency, performance, and reliability, with a strong emphasis on trusted compute and fleet management.

You will collaborate with Infrastructure Security and Networking teams to implement secure, scalable datacenter operations while maintaining hardware health and

Qualifications

• Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and failure modes at scale.
• End-to-end hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, 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.
• Willingness to travel occasionally to datacenter sites across North America.

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.
• 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.

Skills

Server hardware

Hardware lifecycle

Cloud infra

Programming languages

Stakeholder comms

Travel readiness

Security concepts

Education

Bachelor's degree

Tools

LinuxBoot

NixOS

Kubernetes

Job description

About Anthropic 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.

About The Role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.

This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Key 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.

Minimum Qualifications

• 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.
• Willingness to travel occasionally to datacenter sites across North America.

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.

The annual compensation range for this role is listed below.

Annual Salary USD

$320,000 - $405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you\'re interested in this work. We think AI systems like the ones we\'re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.