Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Principal Engineer Capacity/Compute

Home > Python programming jobs

Principal Engineer Capacity/Compute in USA

  • Anthropic
  • Full time
  • Email
  • New York, NY

Responsibilities

  • Build planning and allocation systems for cross-region and cross-provider placement, guardrails, queueing, and occupancy KPIs.
  • Drive compute efficiency programs covering stranding, rightsizing, unused capacity recovery, benchmarking, and workload utilization across training, inference, and evaluation systems.
  • Own compute cost attribution and forecasting by reconciling provider billing, telemetry, internal systems, demand signals, and research roadmaps.
  • Build and operate data pipelines ingesting occupancy, utilization, and cost data into BigQuery with ownership of completeness, latency SLOs, and gap detection.
  • Operate Kubernetes-native collection, labeling, reservation, taint, and scheduling systems at scale.
  • Gather requirements, define schema contracts, design self-service data products, and support load-bearing systems with on-call and SLO ownership.

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 operations experience with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
  • Experience with Prometheus, PromQL, and Grafana, including recording rules and monitoring relied upon by engineering teams.
  • Ability to gather requirements, work across organizational boundaries, and operate effectively in ambiguous environments with limited direction.
  • Preferred experience with capacity planning, resource management, cost attribution, scheduling and packing efficiency, or large-scale machine learning infrastructure.
  • Preferred multi-cloud data ingestion experience involving billing exports, reservation APIs, capacity reservations, commitments, and vendor telemetry.
  • Preferred experience with total cost of ownership, forecasting, accelerator infrastructure, internal data products, or exabyte-scale storage efficiency.

Benefits

  • Annual compensation range is $320,000–$485,000 USD.
  • Anthropic sponsors visas and will make every reasonable effort to obtain a visa if an offer is made, although sponsorship is not successful for every role or candidate.
  • Staff are currently expected to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
  • Benefits include 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.

Similar positions

Backend Engineer (Europe)

  • Kalepa
  • Full time
  • Remote
  • 10/26/2026
  • Salary: $80k-$105k
  • Europe

Sr. AI/ML Engineer II

  • MetroStar
  • Full time
  • USA
  • 10/26/2026
  • Salary: $200k - $240k/yr
  • Reston, VA

Staff Security Engineer

  • Quince
  • Full time
  • Others
  • 10/26/2026
  • Bengaluru, India

ChatGPT Performance Engineer

  • OpenAI
  • Full time
  • USA
  • 10/26/2026
  • Salary: $325k-$405k
  • Remote

Junior Backend Engineer (Europe)

  • Kalepa
  • Full time
  • Remote
  • 10/25/2026
  • Salary: $60k-$70k
  • Europe

Listings

by


Job Type

Language

Country

CodingJobBoard.com © 2026