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IT Support Engineer
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…
Technical Program Manager, Hardware Systems
Owns the end-to-end hardware program for AI accelerator systems, coordinating ODMs, silicon teams, and datacenter ops to turn custom boards and racks into fleet-ready platforms.
Technical Program Manager, Silicon
Own the end-to-end silicon program for Anthropic’s custom hardware powering Claude, coordinating ASIC design, foundry, and post-silicon bring-up while building lightweight execution systems.
Hardware Lab Manager
Own and scale Anthropic’s hardware labs: rack-and-stack servers, manage power/cooling, and ensure bare-metal machines are ready for engineers to SSH into.
Technical Recruiter, Infrastructure
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…
Manager, Infrastructure Capex Accounting
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…
Director, Infrastructure Supply Chain Accounting
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…
Hardware Systems Architect
Designs and owns the system-level architecture for AI compute infrastructure, including power, cooling, interconnect, and datacenter integration, while collaborating with ML and vendor teams.
Staff + Senior Software Engineer, Inference
Build and scale the distributed systems that serve Anthropic’s Claude AI to millions of users, optimizing performance across thousands of AI accelerators and cloud platforms.
Director, Compute Infrastructure Procurement Operations
Leads procurement operations for AI compute infrastructure, negotiating multi-billion-dollar deals with hardware vendors and standing up international procurement entities while ensuring compliance and cost optimization.
Support Engineer
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…
Applied AI Security Architect
Senior pre-sales role advising EMEA enterprises on securely deploying Anthropic’s AI models. Day-to-day: lead security architecture reviews, explain GDPR/EU AI Act compliance, and design solutions for regulated industries like finance and insurance.
Senior Data Center Capacity Delivery Manager, AUS
Oversee end-to-end delivery of leased and partnered data centers for AI infrastructure, coordinating contractors, landlords, and internal teams to accelerate construction while meeting safety and technical requirements.
Staff+ Software Engineer, Platform
Builds and scales the foundational infrastructure that powers Anthropic’s AI products, including service mesh, cloud-agnostic tooling, billing systems, and secure execution environments for developers.
Staff+ Software Engineer, Product Sandboxing
Staff+ engineer building and scaling the secure execution environment behind Claude's agentic capabilities (code execution, web browsing, computer use) at the intersection of systems engineering and security, using containerized workloads and cloud infrastructure.
Staff+ Software Engineer, Platform Distribution
Builds and deploys the Claude AI platform as a cloud-native, enterprise-ready product across AWS/GCP/Azure, focusing on scalability, security, and compliance for regulated customers.
Staff+ Software Engineer, Platform Portability
Build portable infrastructure and deploy Claude across multiple clouds, designing provider-agnostic abstractions and tooling so engineers can run workloads anywhere without cloud-specific expertise.