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[Pipeline] Senior Software Engineer, Infrastructure Systems

AnthropicSan Francisco, CA | New York City, NY | Seattle, WA
On-site Full-time $405K/yr - $485K/yr

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Experience Level

Senior

Qualifications

ResponsibilitiesLead the technical strategy and roadmap for your domain, transforming team-level objectives into actionable plans. Drive initiatives that span multiple teams to build and scale AI clusters, ranging from thousands to hundreds of thousands of machines. Define infrastructure architecture, ensuring complex challenges are addressed, either personally or through collaboration. Collaborate with cloud providers and internal teams to shape the overarching strategy for compute, data, and infrastructure. Establish and enhance operational excellence practices, including incident response and postmortem culture. You may be a good fit if you:Possess over 10 years of software engineering experience. Have successfully led intricate, multi-quarter technical initiatives across various teams or systems. Can set the technical direction for your team and not just execute tasks. Bring deep expertise in distributed systems, reliability, and cloud platforms such as Kubernetes, Infrastructure as Code (IaC), AWS, or GCP. Are proficient in at least one systems programming language (Python, Rust, Go, Java). Have a natural ability to elevate the skills of your peers and redirect efforts effectively when necessary. Can foster alignment among senior stakeholders and communicate complex ideas clearly.

About the job

About Anthropic

At Anthropic, our mission is to develop AI systems that are reliable, interpretable, and steerable. We are committed to ensuring that AI technology is safe and beneficial for our users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy experts, and business leaders, all working collaboratively to create beneficial AI solutions.

About the Role

The Infrastructure organization at Anthropic plays a critical role in our mission to create reliable AI systems. The systems we develop are essential for accelerating the training of new models, conducting safety experiments effectively, and scaling our AI technology, Claude, to serve millions of users. We strive to demonstrate that robust infrastructure and cutting-edge capabilities can work together harmoniously.

The Systems engineering team is responsible for ensuring compute uptime and resilience at scale, building the clusters, automation, and observability that enable safe and effective frontier AI research and deployment.

Team Matching: After the interview process, team assignments are based on interview performance, individual interests, and business needs. Candidates may be considered for various Infrastructure teams.

About Anthropic

Anthropic is at the forefront of AI development, focusing on creating systems that prioritize safety, interpretability, and user control. Our team is a diverse mix of experts dedicated to fostering the responsible use of AI technology.

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