Arlo
SW Engineer Intern, iOS (AI-Assisted Development)
Milpitas, CA · Intern · Internship
Sponsorship not specifiedDetected 31 days ago
SwiftiOSObjective-CCode ReviewRESTComputer VisionCommunicationProblem Solving
About the role
- 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
Responsibilities
- Develop and ship features in an iOS app
- Collaborate with product and design to build polished user experiences
- Support Growth initiatives, improving onboarding, retention, and user engagement
- 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.
Requirements
- Experience with Swift and/or Objective-C
Nice to have
- 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
- We're committed to inclusivity and selecting the strongest candidate-no matter their background.
- Even if you don't meet every listed qualification, we encourage you to apply.
- Arlo is proud to be an Equal Opportunity Employer.
Skills
- Strong debugging and problem-solving skills
Compensation
- The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD $4,000 - $6,900/month.
Company info
- You'll help build and improve iOS experiences used by customers, working alongside engineers to ship high-quality, production-ready features.
This listing is sourced directly from Arlo's careers page and normalized into a canonical job model.