Senior Staff+ Software Engineer, Node Infra at Anthropic

Hybrid - San Francisco, CA; New York City, NY; Seattle, WA

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Anthropic is building reliable, interpretable, and steerable AI systems. This role is within the Infrastructure organization, responsible for owning the full lifecycle of accelerator capacity, provisioning compute, scaling clusters, and building health and repair automation for GPU, TPU, and Trainium nodes. The position focuses on technical strategy, cross‑team initiatives, systems design for automated hardware remediation, and operational excellence, while mentoring engineers and collaborating with cloud providers and internal teams.

Salary

R$ 405,000 - 485,000

Requirements

Skills

  • Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
  • Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform
  • Hands‑on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
  • Track record of leading complex, multi‑quarter technical initiatives that span multiple teams or systems
  • Ability to build alignment across senior stakeholders and communicate effectively at all levels
  • 12+ years of software engineering experience, including time as a technical lead setting direction for a team
  • Experience managing large‑scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
  • Depth in Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
  • Low‑level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
  • Familiarity with high‑performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads
  • Demonstrated ownership of production reliability for high‑throughput, latency‑sensitive systems
  • Contributions to relevant open‑source projects (Kubernetes, Linux kernel, container runtimes, etc.)
  • Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience

Responsibilities

  • Own the technical strategy and roadmap for node lifecycle management – 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 minimizing 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/product teams to shape long‑term compute, data, and infrastructure strategy
  • Establish and evolve operational excellence practices (incident response, postmortem culture, on‑call)
  • Support the growth of engineers around you through technical mentorship and coaching

Technologies

KubernetesInfrastructure as Code (IaC)AWSGCPAzureTerraformRustGoPythonGPUsTPUsTrainiumKernelVirtualizationDevice driversFirmwareHardware health/diagnostics daemonsEFARDMAInfiniBandMesosBorgKarpenterCluster orchestration systems

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