AIML – Software Device Engineering Manager, Machine Learning Platform & Full-time

Summary
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