About The Position

Apple's Vision Products Group is looking for a software engineer to turn early ideas for health, wellbeing, and fitness experiences into working, demo-ready prototypes. You will build native experiences across Apple platforms, integrate generative AI capabilities into those experiences, and help keep the build, release, and demo infrastructure fast and reliable. The ideal candidate is an engineer who is equally comfortable shaping an interactive experience, wiring up an LLM-driven feature, and keeping the pipelines and devices running smoothly so prototypes get into people's hands. They move quickly from concept to working software, care about the quality and reliability of what they ship, and thrive on working across the experience and operational layers of prototyping rather than within a single slice of it. This role spans the full prototyping path. You iterate quickly and stay close to the product, taking rough concepts to polished prototypes that are dependable enough to demo at any time. As an idea evolves, you move between the experience itself and the tooling that ships it. You are a practical, hands-on engineer who writes clean, maintainable Swift, understands the systems that build and deliver it, and has enough design sense to take a rough concept to a working prototype without waiting on a full handoff. As the team takes on new platforms and surfaces, and more AI-driven work, your range lets us grow prototyping capacity without splitting the work across more people. If you are curious, energized by ambiguity, and motivated by building software that helps millions of people live healthier, more active lives, we would love to hear from you.

Requirements

  • 5+ years of professional experience shipping production-quality software
  • Proficiency in Swift and experience building native applications with SwiftUI and/or UIKit
  • Demonstrated ability to take concepts to working, polished prototypes
  • Experience with build and release pipelines, device provisioning and configuration, or test automation
  • Ability to collaborate and work in a highly cross-functional environment
  • Comfort working independently and moving quickly through ambiguity in an early-stage, fast-iterating environment
  • Bachelor's degree in Computer Science or a related subject area, or equivalent industry experience

Nice To Haves

  • Experience building across multiple Apple platforms, including spatial computing / visionOS using SwiftUI, RealityKit, or ARKit
  • Experience integrating LLM APIs (e.g., OpenAI, Anthropic, or on-device models) into applications, including prompt design, context window management, and output validation
  • Strong design sensibility, with the ability to move from concept to prototype independently
  • Experience owning CI/CD, device provisioning, or demo/release operations for a fast-moving team
  • Familiarity with AI-assisted development tooling and workflows
  • A track record of building and demoing prototypes for product exploration
  • Advanced degree in Computer Science or a related field

Responsibilities

  • Build native experiences across Apple platforms.
  • Integrate generative AI capabilities into those experiences.
  • Keep the build, release, and demo infrastructure fast and reliable.
  • Shape an interactive experience.
  • Wire up an LLM-driven feature.
  • Keep the pipelines and devices running smoothly so prototypes get into people's hands.
  • Move quickly from concept to working software.
  • Care about the quality and reliability of what they ship.
  • Work across the experience and operational layers of prototyping.
  • Iterate quickly and stay close to the product.
  • Take rough concepts to polished prototypes that are dependable enough to demo at any time.
  • Move between the experience itself and the tooling that ships it.
  • Write clean, maintainable Swift.
  • Understand the systems that build and deliver it.
  • Take a rough concept to a working prototype without waiting on a full handoff.
  • Grow prototyping capacity without splitting the work across more people.
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