Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Generative AI has the potential to unlock new experiences that were never possible before. At AIML Special Projects group we want to make great products that empower people and improve their lives. Simulation is a critical tool to realize that mission. Some examples of projects that you would work on include, but are not limited to, creating a scalable, robust, and high-performance cloud orchestration framework. This team has a strong focus on shipping AIML-based features and products. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations. Moreover, we value team members who can collaborate effectively with cross-functional teams across the organization. As a member of this team, you will use your background to (but not be limited to): * Create scalable, robust and high-performance cloud execution framework for simulation and other tools * Manage release process across multiple platforms (Mac, Linux) * Build internal and external tooling to introspect simulation results * Integrate and maintain sim based regression tests for both the Simulation team and customers Experience with large-scale simulation systems Experience with SQL and setting up and maintaining databases Experience with C++ Experience with building microservices, data processing pipelines and RESTful APIs in Python Experience with Docker and KubernetesArray