Software Engineer - Generative UI, Input Experience

🏢 About Apple

Apple is a global technology company known for designing category-defining consumer devices, software ecosystems, and native developer platforms. From macOS and iOS to Apple Vision Pro, the company focuses on exceptional product craft, privacy, and seamless human-computer interaction across billions of active devices.

🎯 The Role

As a foundational software engineer on a newly formed Generative UI and Input Experience team, you will help invent how dynamic interfaces are composed on the fly. Rather than shipping static screens designed months in advance, you will build the systems that generate bespoke UI at runtime in response to user intent while preserving Apple's standards for design fidelity, responsiveness, and security.

🛠️ Tech Stack

• Swift & SwiftUI
• Declarative UI Architectures
• Language Runtimes & Interpreters
• Sandboxing & Security Boundaries
• LLM Tooling, Structured Outputs & Prompt Engineering
• Automated Evaluation & Golden Sets

💼 What You'll Do

• Collaborate with Apple design studios and AI teams to explore and productize generative UI paradigms.
• Design and implement the UI frameworks, schemas, and domain-specific languages that models generate against.
• Harden the execution runtime, sandboxing untrusted code and enforcing strict access controls.
• Build robust evaluation pipelines, automated judges, and golden sets to benchmark generative interface quality.
• Shape team culture, mentor engineers, and set technical architecture for input experiences at scale.

✅ What You'll Need

• 6+ years of software engineering experience with a Bachelor's degree in CS or equivalent practical experience.
• Expert-level Swift programming skills with deep production experience in SwiftUI or declarative UI systems.
• Proven track record owning application or framework architectures end-to-end, including public API design.
• Direct experience developing user-facing products with generative models or ML integrations.
• Strong technical leadership, cross-functional communication, and mentoring skills.

🌟 Nice to Have

• Experience building language runtimes, interpreters, or virtual machines.
• Background in sandboxing untrusted code and mitigating prompt injection vulnerabilities.
• Experience designing DSLs or structured schemas consumed by generative models.
• Track record shipping production ML-backed applications at large scale.