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Principal Engineer Capacity/Compute

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Principal Engineer Capacity/Compute in USA

  • Anthropic
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Build planning and allocation systems for cross-region and cross-provider capacity placement, queueing, guardrails, and occupancy KPIs.
  • Drive efficiency programs covering stranding, rightsizing, unused-capacity recovery, job-level utilization, benchmarking, and per-configuration baselines.
  • Own compute cost attribution and forecasting by reconciling provider billing, telemetry, internal systems, demand signals, and research roadmaps.
  • Build data pipelines that ingest occupancy, utilization, and cost data into BigQuery while owning completeness, latency SLOs, and gap detection.
  • Operate Kubernetes-native collection, labeling, reservation, taint, and scheduling systems at scale.
  • Gather requirements, define schema contracts, design consumer-facing data products, and support on-call and SLOs.

Requirements

  • Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
  • 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 with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
  • Experience with Prometheus, PromQL, Grafana, recording rules, and production monitoring.
  • Ability to gather requirements and work across organizational boundaries in ambiguous environments with limited direction.
  • Preferred: experience with capacity planning, resource management, cost attribution, scheduling, packing efficiency, or large-scale distributed workload optimization.
  • Preferred: multi-cloud ingestion and billing normalization, total-cost-of-ownership analysis, forecasting, accelerator infrastructure, machine learning systems, internal data products, or exabyte-scale storage lifecycle programs.

Benefits

  • Annual salary range of $320,000—$485,000 USD.
  • Visa sponsorship is offered with reasonable efforts made after an offer, though sponsorship cannot be successfully provided for every role or candidate.
  • Hybrid policy requiring staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
  • Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.

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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