Senior Full-Stack Engineer, ML Compute Capacity

Apple Inc.; Santa Clara (CA); On-site; USD 184,700 - 324,800; Full time

Benefits offered by this job

Apple benefits

Stock programs

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. is seeking a senior Full Stack Software Engineer for ML Compute Capacity in Santa Clara, CA.

You will design, build, and operate production systems that optimize compute resources across Apple’s accelerator fleet, spanning data pipelines, APIs, dashboards, and forecasting tooling. You will work across the stack with autonomy to improve efficiency, scale, and cost management, collaborating with finance, data center ops, and ML teams.

Qualifications

• 5+ years of experience in relevant areas.
• Proficiency in Python for production backend and data engineering work
• Experience building data pipelines and queries over large-scale data (Trino, PostgreSQL, Elasticsearch)
• Experience designing and building RESTful APIs and working with cloud storage technologies
• Experience with React
• Experience with observability tools (Prometheus, Grafana) or equivalent monitoring systems
• Bachelor's degree or higher in Engineering, Mathematics, Economics, or a related quantitative field

Responsibilities

• Build and operate demand and capacity planning systems
• Build data pipelines and telemetry systems that ingest, normalize, and serve fleet-wide utilization and cost data across multi-tenant and heterogeneous fleets
• Develop observability infrastructure — monitoring, alerting, and dashboards — that surfaces real-time fleet health and efficiency signals
• Drive innovation in forecasting, optimization, and supply chain management tooling that works at scale
• Build end-to-end tooling — from data models and APIs to interactive dashboards — that distills complex data into actionable insights for leadership
• Build self-service platforms with well-defined schema contracts and APIs, enabling ML teams, infrastructure engineers, and finance to balance usability, utilization, and costs
• Engage cross-functionally with finance analysts, supply chain managers, data center operations, compute infrastructure engineers, and more
• Support the team through code reviews and knowledge sharing

Skills

Python

Data pipelines

RESTful APIs

React

Observability tools

SQL queries

Trino

PostgreSQL

Elasticsearch

Education

Bachelor's degree in Engineering/Mathematics/Economics

Tools

Kubernetes

Job description

Apple Inc. is seeking a senior Full Stack Software Engineer for ML Compute Capacity in Santa Clara, CA.

You will design, build, and operate production systems that optimize compute resources across Apple’s accelerator fleet, spanning data pipelines, APIs, dashboards, and forecasting tooling. You will work across the stack with autonomy to improve efficiency, scale, and cost management, collaborating with finance, data center ops, and ML teams.