OverviewAnthropic’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 roleOur 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.As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.Strong candidates may also have experience withImplementing and deploying machine learning systems at scaleLoad balancing, request routing, or traffic management systemsLLM inference optimization, batching, and caching strategiesKubernetes and cloud infrastructure (AWS, GCP)Python or RustYou may be a good fit if youHave significant software engineering experience, particularly with distributed systemsAre results-oriented, with a bias towards flexibility and impactPick up slack, even if it goes outside your job descriptionWant to learn more about machine learning systems and infrastructureThrive in environments where technical excellence directly drives both business results and research breakthroughsCare about the societal impacts of your workRepresentative projects across the orgDesigning intelligent routing algorithms that optimize request distribution across thousands of acceleratorsAutoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloadsBuilding production-grade deployment pipelines for releasing new models to millions of usersIntegrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantageContributing to new inference features (e.g., structured sampling, prompt caching)Analyzing observability data to tune performance based on real-world production workloadsManaging multi-region deployments and geographic routing for global customersDeadline to apply: None. Applications will be reviewed on a rolling basis.LogisticsEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in offices.Visa sponsorship: We do sponsor visas. If we make you an offer, we will make reasonable efforts to assist with visa processes with support from an immigration lawyer.We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification as listed. We think AI systems like the ones we’re building have enormous social and ethical implications, and we strive to include diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If unsure, visit the Careers page at anthropic.com/careers for confirmed openings.Why AnthropicWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts, valuing impact and steerable, trustworthy AI over smaller tasks. We are highly collaborative and prioritize communication skills alongside technical excellence.Come work with usAnthropic 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 collaborative office environment.
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