Lead the design and development of software features that enable end to end app experiences in Siri Work directly with app teams to identify where intelligence makes their app better, and bring those capabilities to Siri Help define the shape of this layer and bring app partners along as it takes shape Implement code that is well designed, easy to debug, and highly performant Diagnose failures in end-to-end app experiences, and work with the Siri team to turn them into measurable quality improvements Contribute to the shared evaluation and telemetry loop that proves whether a change improved user outcomes Identify and propose key architecture changes to help features scale Proactively look for areas of code to further optimize for performance, and hold on-device latency, memory, and power budgets Leverage agentic coding to enhance engineering productivity, code quality, and efficiency at scale4+ years experience developing and shipping production software Strong proficiency in Swift, Objective-C or C++ Experience building product features on top of large language models - designing tool and function-calling interfaces, constructing context, and validating model output Fluency with agentic coding tools for accelerating engineering productivity, with good judgment about where to apply them and how to verify what they produce Exceptional problem-solving skills, and the ability to drive alignment across teams on shared API surfaces Proven ability to excel in a fast-paced development teamExperience designing and developing systems that are efficient in resource constrained environments - latency, memory, and power budgets on device Experience building the scaffolding around models - tool interfaces, retrieval and context construction, output validation - with strong intuition for model behavior and failure modes Experience building key software components and APIs used cross functionally across different applications and platforms, including versioning and compatibility of interfaces that shipped clients depend on Experience with evaluation, benchmarking, and telemetry for systems whose output is probabilistic rather than deterministic. We bring app intelligence to Siri by working directly with app teams to understand what their apps can do, modeling those capabilities so an assistant can use them well, and building the on-device software that makes the resulting experiences reliable and fast.