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Apple Platform Engineer (Mid-Level)

$75/hour
Spatial System (Vision Pro + iPad Operator Console)
Pittsburgh, PA (Hybrid / Remote)

Overview

We are seeking an Apple Platform Engineer to join a team developing a multi-device spatial computing system. This role involves building a native Swift/visionOS implementation for Vision Pro and an iPad operator console used for monitoring system telemetry and controlling the environment. Both applications integrate with rack-based infrastructure via telemetry and control APIs.

Key Responsibilities

Apple Platform Application Development

Design and implement native Apple platform applications using modern frameworks including Swift, SwiftUI, visionOS, RealityKit, and AVFoundation.

Vision Pro Development

Develop the native spatial UI for system visualization, video stream rendering, diagnostics overlays, and spatial interaction controls.

iPad Development

Develop the iPad operator console, including telemetry dashboards, per-stream diagnostics views, operator control interfaces, and system health indicators.

System Integration

Integrate both applications with existing telemetry and control APIs by consuming REST APIs from rack-based infrastructure and implementing networking layers using Swift concurrency.

Real-Time State Management

Develop robust application state models to handle live telemetry updates, operator control actions, and synchronization across multiple devices while maintaining system stability.

Collaboration

Work closely with the Senior engineer on integration and system design, focusing on spatial UI interaction and visualization.

Required Skills

  • Swift development for Apple platforms.
  • SwiftUI application architecture.
  • Integrating REST APIs into client applications.
  • Asynchronous networking and data handling.
  • Building data-driven UI applications.
  • Debugging integration issues across distributed systems.

Preferred Skills

  • visionOS, RealityKit, or 3D scene frameworks.
  • AVFoundation or media playback systems.
  • Building telemetry dashboards or monitoring interfaces.
  • Working with Python-based services or Linux systems.
  • Integrating applications with hardware or edge system infrastructure.

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