Staff Engineer, Datacenter Server Lifecycle

About Anthropic

Anthropics 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 expanding beyond cloud infrastructure 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 global facilities 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 datacenters containing tens of thousands of servers.
• 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.

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 tens of thousands of hosts.
• 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.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.