Principal Engineer Capacity/Compute

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.