ML Compute & Capacity Engineer

Apple Inc.; Santa Clara, Northern (CA, KY); Hybrid; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. is seeking a seasoned engineer for ML Compute Capacity, designing and operating production systems that optimally distribute compute resources across Apple’s accelerator fleet.

You will work across data pipelines, APIs, and dashboards to deliver real-time fleet health insights and cost optimization. The role emphasizes autonomy in a fast-paced environment, with responsibilities spanning data models, telemetry, forecasting, and cross-functional collaboration to balance usability and

Qualifications

• 7+ years of experience in relevant areas.
• Experience with machine learning infrastructure on GPUs or TPUs.
• Proficiency in Python and/or Go for production backend and data engineering work.
• Experience building data pipelines and crafting robust queries over large-scale data.
• Experience with observability tools (Prometheus, Grafana) or equivalent monitoring systems.
• Bachelor's degree or higher in Engineering, Mathematics, Economics, or related quantitative field.

Responsibilities

• Build and operate demand and capacity planning systems.
• Build data pipelines and telemetry systems ingesting fleet-wide utilization and cost data.
• Develop observability infrastructure—monitoring, alerting, dashboards—for fleet health and efficiency.
• Drive forecasting, optimization, and supply chain tooling at scale.
• Create end-to-end tooling from data models to dashboards for leadership insights.
• Build self-service platforms with schemas and APIs for ML teams, infra engineers, and finance.
• Engage cross-functionally with finance, supply chain, data center ops, and more.
• Support the team through code reviews and knowledge sharing.

Skills

Python

Go

Data pipelines

Observability

Distributed systems

Education

Bachelor's degree or higher in Engineering, Mathematics, Economics, or related quantitative field

Tools

Trino

PostgreSQL

Elasticsearch

Prometheus

Grafana

Kubernetes

React

Job description

Apple Inc. is seeking a seasoned engineer for ML Compute Capacity, designing and operating production systems that optimally distribute compute resources across Apple’s accelerator fleet.

You will work across data pipelines, APIs, and dashboards to deliver real-time fleet health insights and cost optimization. The role emphasizes autonomy in a fast-paced environment, with responsibilities spanning data models, telemetry, forecasting, and cross-functional collaboration to balance usability and