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Principal Engineer Capacity/Compute

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Principal Engineer Capacity/Compute in USA

  • Anthropic
  • Full time
  • Email
  • Seattle, WA

Responsibilities

  • Build planning and allocation systems for cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs, and scheduler enforcement.
  • Drive compute-efficiency programs involving rightsizing, unused-capacity recovery, utilization measurement, benchmarking, and per-configuration baselines.
  • Own attribution and forecasting by reconciling provider billing, telemetry, and internal systems and connecting compute demand to workloads, teams, and research roadmaps.
  • Build data pipelines ingesting occupancy, utilization, and cost data into BigQuery with ownership of completeness, latency SLOs, and gap detection.
  • Operate Kubernetes-native collection, labeling, taint, reservation, and scheduling systems at scale.
  • Gather requirements, define schema contracts, design data products for technical and finance consumers, and support on-call and SLO obligations.

Requirements

  • Strong track record building and operating production systems in a hands-on engineering role with a DevOps flavor.
  • Production-quality Python and SQL experience, including BigQuery SQL, table-valued functions, and views.
  • Deep experience operating at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
  • Experience with Prometheus, PromQL, and Grafana, including recording rules and dependable monitoring systems.
  • Ability to independently gather requirements and work across organizational boundaries in ambiguous environments with limited direction.
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field as demonstrated through coursework, training, or professional experience.
  • Preferred experience with capacity planning, resource management, cost attribution, scheduling and packing efficiency, distributed workload optimization, multi-cloud billing ingestion, forecasting, accelerator infrastructure, machine learning training or inference systems, internal data products, and exabyte-scale storage lifecycle programs.

Benefits

  • Annual base salary range of $320,000–$485,000 USD.
  • Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space.
  • Hybrid work policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
  • Anthropic sponsors visas but cannot successfully sponsor every role and candidate; if an offer is made, it will make every reasonable effort to obtain a visa with immigration-lawyer support.

Salary: $320k - $485k/yr

Anthropic

Anthropic builds AI systems that are reliable, interpretable, and steerable, with a commitment to ensuring their safety and benefit to users and society. Our work is driven by a dedicated team of researchers, engineers, and policy experts focused on the development of beneficial AI solutions.

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