Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Overview

Apple is hiring a Lead Cloud Engineer to manage demand and capacity planning for their ML and Gen AI platforms. You'll work with AWS, Azure, and Kubernetes to optimize infrastructure for machine learning. This role requires deep expertise in capacity planning and demand forecasting.

Job Description

Who you are

You have a strong background in cloud infrastructure management, with at least 5 years of experience in capacity planning and demand forecasting for large-scale environments. Your expertise in machine learning and data analysis allows you to effectively optimize compute resources to meet the needs of internal developers.

You are a strategic thinker who can develop long-range capacity models and drive infrastructure optimization initiatives. Your leadership skills enable you to build and manage a team of capacity planners, ensuring that Apple's ML and Gen AI infrastructure is prepared for current and future demands.

You possess excellent communication skills, allowing you to collaborate effectively with cross-functional teams and stakeholders. Your ability to analyze data and make informed decisions is crucial in this role, as you will be responsible for ensuring efficient resource allocation.

Desirable

Experience with cloud platforms such as AWS and Azure is highly desirable, as is familiarity with Kubernetes for container orchestration. Knowledge of Python for scripting and automation will also be beneficial in this role.

What you'll do

In this role, you will lead the capacity planning efforts for Apple's ML Training and Gen AI platforms, ensuring that the infrastructure meets the demands of internal developers. You will develop and implement long-range capacity models that align with the company's strategic goals.

You will drive initiatives for infrastructure optimization, focusing on scalability and efficiency. Collaborating with engineering teams, you will ensure that the compute resources are effectively utilized throughout the machine learning lifecycle, from model experimentation to deployment.

Your responsibilities will include analyzing demand forecasts and adjusting capacity plans accordingly. You will also be involved in contingency development to prepare for unexpected changes in demand.

As a leader, you will mentor and guide your team of capacity planners, fostering a collaborative environment that encourages innovation and continuous improvement. You will work closely with other departments to align infrastructure capabilities with business needs.

What we offer

Apple offers a dynamic work environment where creativity and collaboration are valued. You will have the opportunity to work on cutting-edge technologies and contribute to projects that impact millions of users worldwide. Competitive compensation and benefits packages are provided, along with opportunities for professional growth and development.

Join us at Apple, where your contributions will help shape the future of technology and enhance the experiences of our customers. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Interested in this role?

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