SW Engineer Intern, iOS (AI-Assisted Development)

Arlo • Milpitas, CA

19h • Hybrid

About The Position

We ’ re hiring an iOS Engineering Intern to join our team in Milpitas, CA. You ’ ll help build and improve iOS experiences used by customers, working alongside engineers to ship high-quality, production-ready features. This internship may align with multiple product areas including our Growth team, where you’ll work on user-facing experiences that drive adoption, engagement, and product success. This role will actively engage with our AI and agent-driven engineering strategy, contributing to the design, prototyping, and integration of AI-assisted workflows and developer agents that elevate how teams build, test, and ship software. The focus is on using AI not as a product feature, but as a multiplier for engineering speed, quality, and decision-making across the development lifecycle. You’ll work alongside senior engineers in a fast-paced, real-world environment, and experience Silicon Valley engineering culture firsthand.

Requirements

• Currently enrolled in Computer Science, Software Engineering, or related program
• Experience with Swift and/or Objective-C
• Understanding of iOS fundamentals (UIKit, networking, app lifecycle)
• Strong debugging and problem-solving skills
• Strong communication skills and ability to collaborate in a team environment

Nice To Haves

• Experience with Combine
• Familiarity with REST APIs, JSON, authentication flows
• Experience with unit testing / UI testing on iOS
• Prior mobile projects, internships, or apps published to the App Store
• Interest in developer productivity tooling, automation, or AI/agent-based workflows

Responsibilities

• Develop and ship features in an iOS app
• Collaborate with product and design to build polished user experiences
• Improve app performance, reliability, and maintainability
• Write clean, testable code and participate in code reviews
• Debug issues and help improve the overall mobile development workflow
• Support Growth initiatives, improving onboarding, retention, and user engagement
• Contribute to AI-assisted workflows and internal tooling that help teams ship faster with higher quality

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed