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Anthropic

Staff Engineer, Datacenter Server Lifecycle

Anthropic

Published 11 May 2026
San Francisco, CA, USA
320K - 405K USD Annual
Hybrid

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Role Highlights

Languages used

Python
Rust
GO
Java

Key skills

Computer Science
Cloud Infrastructure
IAC
Staff Engineer
AI
Server
Deployment
Security
Automation
Servers
TroubleShooting
Operations
Research
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

FirmWare
Kubernetes
AWS
GCP
GPUs
A100
H100
HTTP

Description

The role involves managing the end-to-end operational lifecycle of datacenter servers, from initial provisioning and deployment to maintenance and decommissioning. The individual will define processes, tooling, and operational standards for hardware management at scale. A significant focus is placed on integrating security measures to ensure trusted compute standards across the server fleet. The position requires partnering with infrastructure and networking teams to maintain connectivity and machine health. Additionally, the role involves building automation to support large-scale datacenter operations.

Required Qualifications and Skills

Candidates must possess hands-on experience with server hardware and a comprehensive understanding of the hardware lifecycle. Proficiency in at least one programming language and knowledge of modern cloud infrastructure are required. The role necessitates the ability to communicate clearly and navigate complex, cross-functional problems. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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