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Luma AI Logo Luma AI · IT - Software Development

Software Engineer - iOS

United States, Palo Alto 170000.00 - 360000.00 USD / Year · Job Posted January 13, 2026
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Job Description

As an iOS Engineer, you will architect and build the next generation of the Dream Machine app, transforming it into a fast, responsive, and magical creative companion. This is a foundational role with significant ownership. You will work from the ground up, collaborating closely with our product, design, and research teams to reimagine what a generative video product feels like in your pocket.

Job Responsibility

  • Architect and build the next generation of the Dream Machine app
  • Lead the design and development of core architectural components for the Dream Machine app
  • Collaborate with designers and researchers to translate a powerful product vision into elegant, intuitive, and user-focused mobile experiences
  • Build and optimize features for advanced video workflows, including real-time processing, playback, and editing
  • Dive deep into performance, memory management, and power optimization
  • Mentor other engineers, drive technical strategy, and establish best practices for mobile engineering at Luma

Requirements

  • 5+ years of experience building and shipping high-quality iOS applications
  • Strong proficiency in Swift, SwiftUI, and UIKit
  • Proven track record of shipping polished, consumer-facing apps that have scaled to real users
  • Deep understanding of iOS architectural patterns and ability to optimize performance, memory, and power
  • Strong product and design sensibility
  • experience influencing UX decisions and partnering closely with designers
  • Strong communicator
  • thrive in a collaborative, fast-paced environment where you can take ownership

Nice to have

  • Deep experience with AVFoundation, Metal, or other frameworks for video processing, camera workflows, or real-time media
  • Background in building creative, media-rich, or camera-based applications (e.g., video editors, design tools)
  • Familiarity with integrating on-device ML models using CoreML or similar frameworks
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