The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it! The Video Engineering group is looking for a Software Engineer with a strong emphasis on framework development and data pipeline development. This position will require collaboration with multiple teams (hardware, machine learning, and user studies). We work on multiple, related projects requiring creativity and ingenuity. You will be able to demonstrate your skills and expertise as we work together to innovate. You'll be working on targeted automation projects and initiatives that span hardware and software. You'll have an opportunity to own a domain of expertise, produce tools that directly contribute towards supporting testing the quality of next-generation Apple products, and continuously grow through facing new challenges.

Description

Our team plays a pivotal role in bridging critical gaps between Algorithm, Quality Assurance (QA), and User Studies teams, driving innovation in video engineering. You will be instrumental in designing and developing robust, end-to-end software systems that efficiently handle and process video data. This includes architecting scalable frameworks and developing high-performance data pipelines, ensuring solutions are high-quality, reliable, scalable, and testable. Close collaboration with cross-functional teams (including hardware, machine learning, and user studies) is essential to achieve comprehensive test coverage and deliver a flawless end-user experience for next-generation Apple products.

Minimum Qualifications

BS and a minimum of 3 years of relevant industry experience 2+ Years of Python 1+ Years of software framework design and development 1+ Years of experience with a major cloud platform, e.g., AWS Comfortable with Git, REST API's, SQL, and NoSQL databases Experience designing and deploying automated systems Solid understanding of the software development lifecycle, industrial automation terminology, and processes

Preferred Qualifications

Familiarity with robot kinematics, dynamics, digital control, and signal processing Thrive in uncertain, rapid project schedules, being able to quickly shift priorities and maximize testing/development time Strive to innovate and try new things, incorporating continuous improvement of testing and data collection methods Good verbal and written communication skills Good engineering fundamentals and practices