Staff Software Engineer, Node Infra

• Join the Node Infra team, which owns the full lifecycle of accelerator capacity at Anthropic — from ingestion and provisioning to health, diagnostics, and automated repair. • Work across compute from all major cloud providers and custom-built datacentres, standing up and scaling the clusters behind one of the industry's largest AI compute fleets. • Build the automation that keeps every GPU, TPU, and Trainium node usable and ready to power frontier AI research. • Directly impact how quickly new models are trained, how reliably safety experiments run, and how effectively Claude scales to millions of users.

• Have deep expertise in distributed systems, reliability, and cloud platforms such as Kubernetes, IaC, and AWS/GCP/Azure. • Be strongly proficient in at least one systems language such as Rust, Go, or Python, with IaC proficiency in Terraform. • Have hands-on experience with machine learning accelerators such as GPUs, TPUs, or Trainium. • Have a track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems. • Build alignment across senior stakeholders and communicate effectively at all levels.

• Have 7+ years of software engineering experience, including time as a technical lead setting direction for a team. • Have experience managing large-scale compute infrastructure at hyperscale (10k+ nodes), including capacity management and efficiency. • Have depth in Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines. • Have low-level systems experience with kernel, virtualisation, device drivers, firmware, or hardware health/diagnostics daemons. • Be familiar with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. • Have demonstrated ownership of production reliability for high-throughput, latency-sensitive systems. • Have contributions to relevant open-source projects such as Kubernetes, Linux kernel, or container runtimes. • Be skilled at quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems.

• Own the technical strategy and roadmap for node lifecycle management covering ingestion, bring-up, health checking, and automated repair. • Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families. • Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimising stranded capacity. • Define infrastructure architecture, ensuring the hardest problems get solved whether by you directly or by working through others. • Work closely with cloud providers and internal research, inference, and product teams to shape long-term compute, data, and infrastructure strategy. • Establish and evolve operational excellence practices including incident response, postmortem culture, and on-call. • Support the growth of engineers around you through technical mentorship and coaching.

• Receive an annual salary of £325k–£485k GBP. • Work from the London office with a hybrid policy requiring at least 25% office time. • Receive visa sponsorship with every reasonable effort made and an immigration lawyer retained to help. • Receive competitive compensation and benefits with optional equity donation matching. • Receive generous vacation and parental leave. • Enjoy flexible working hours.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is a public benefit corporation headquartered in San Francisco with offices in London.