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Anthropic· Software Engineering - Infrastructure· Dublin, IE

Senior Software Engineer, Inference

Classified Tasks (14)

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Augment (14)

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Build and maintain critical inference systems that serve Claude to millions of users worldwide

technical

Implement compute-agnostic inference deployments to serve models across diverse hardware

technical

Design and operate the full inference stack, including intelligent request routing and fleet-wide orchestration across AI accelerators

technical

Optimize compute efficiency of the inference fleet to meet customer demand and control costs

analytical

Provide high-performance inference infrastructure to enable research and development of next-generation models

technical

Solve distributed-systems challenges across multiple accelerator families and emerging AI hardware

technical

Design intelligent routing algorithms to optimize request distribution across thousands of accelerators

technical

Implement autoscaling for the compute fleet to dynamically match supply with demand across production, research, and experimental workloads

operational

Build production-grade deployment pipelines to release new models to millions of users

technical

Integrate new AI accelerator platforms into the inference stack to maintain hardware-agnostic deployments

technical

Develop and integrate inference features such as structured sampling and prompt caching

technical

Support inference for new model architectures by adapting pipelines and optimizations

technical

Analyze observability data and tune system performance based on real-world production workloads

analytical

Manage multi-region deployments and implement geographic routing for global customers

operational

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: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you: Have significant software engineering experience, particularly with distributed systems Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org: Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage Contributing to new inference features (e.g., structured sampling, prompt caching) Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €235.000 — €295.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of educa
Source: Anthropic careers · scraped 2026-05-22
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