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AIML - Software Device Engineering Manager, Machine Learning Platform & Infrastructure

Apple

Apple

Software Engineering, Other Engineering
Santa Clara, CA, USA
Posted on Nov 5, 2024

Summary

Posted:
Weekly Hours: 40
Role Number:200576251
High-quality software and Machine Learning requires large-scale infrastructure to validate and train software prototypes and models. The team at Apple on the forefront of building this infrastructure using Apple hardware is looking for an engineering leader! This exciting role will bring best practices, knowledge and experience from traditional datacenter operations, and apply those ideas to data centers with thousands of Apple devices. In this role, you’ll have the opportunity to design, implement, and operate large scale automation and monitoring tools and processes. You’ll have a team of software engineers to develop new solutions. You’ll work closely with the SRE team to deploy and operate the solutions you develop. And you’ll have the opportunity to influence the design of Apple hardware to ensure it’s fully compatible in high-density deployments and automation. If you’re interested in Apple devices, and you have a background in data center infrastructure, this role will give you an exciting opportunity to apply your skills to an entirely new problem space.

Description

We are looking for a motivated and service oriented individual who loves working on innovative infrastructure. You must enjoy working on multiple concurrent projects in a fast-paced environment that nurtures growth, collaboration and innovation. Some of your Responsibilities May Include: -Operating and innovating a geographically distributed device cloud infrastructure, enabling large scale machine learning workflows across Apple - Supervising and mentoring automation engineers; responsible for their management, evaluation, and career development - Applying your strong technical expertise to allow you to work at the micro or macro level Software configuration management where required tooling is consistently and optimally deployed across the fleet of machines - Solving problems and resolving issues in live production environments and implementing strategies to eliminate them - Advocating for automation, trusting it plays a meaningful role in software development and sustenance - Being willing to get into the details; be hands on with hosts and devices to understand and improve reliability

Minimum Qualifications

  • Significant experience developing and/or testing large scale enterprise systems with sophisticated distributed integrations
  • Experience leading software / automation engineers
  • Excellent leadership, communication, prioritization, collaboration, and problem-solving skills
  • Experience with developing and implementing monitoring solutions
  • Solid interpersonal skills are a requirement due to the high level of interaction with engineering teams, management, and other organizations within Apple
  • Ability to act as a technical leader to: increase infrastructure reliability and device availability through process and automation, reduce customer-impacting defects and improve early fault detection
  • You are upbeat, adaptable, and results oriented with a positive attitude

Key Qualifications

Preferred Qualifications

  • B.S. in Computer Science or equivalent experience/expertise.
  • Experience with common data center infrastructure (HVAC, power distribution, copper and fiber cabling, rack types and capacities etc…) Experience with macOS and iOS is a plus
  • Experience with large scale mobile device deployment (mobile phones, wearables, tablets, etc.)
  • Understanding of standard networking protocols and components such as: HTTP, DNS, TCP/IP, Subnetting
  • Knowledge of Puppet, Ansible or other configuration management tools
  • Familiarity with Git or other source control systems

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.