2 months ago
Responsibilities
- Design, build, and operate production systems that distribute compute resources across the company.
- Develop data pipelines, backend services, APIs, and interactive frontends for ML compute capacity management.
- Build telemetry systems, optimization algorithms, policies, and tools to manage demand and improve accelerator-fleet efficiency.
- Create robust queries over large-scale, multi-source data and analyze distributed-system performance.
- Operate highly available services and contribute to capacity planning, cost attribution, and FinOps systems.
- Collaborate in a high-autonomy team through problem solving, performance analysis, and knowledge sharing.
Requirements
- At least 5 years of experience in relevant areas.
- Production proficiency in Python for backend and data-engineering work.
- Experience building data pipelines and querying large-scale, multi-source data using systems such as Trino, PostgreSQL, and Elasticsearch.
- Experience designing and building RESTful APIs and working with cloud storage technologies.
- Experience with modern web frameworks such as React.
- Experience with observability tools such as Prometheus and Grafana or equivalent monitoring systems.
- Strong computer science fundamentals and excellent problem-framing and problem-solving skills.
- Bachelor’s degree or higher in Engineering, Mathematics, Economics, or a related quantitative field.
- Preferred experience operating Kubernetes at production scale, including scheduling, resource management, and cluster debugging.
- Preferred familiarity with accelerator utilization patterns across ML training and inference, plus capacity planning, cost attribution, or FinOps systems.
Tech Stack
Categories
Data EngineeringFull Stack
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.