Software Engineer, iOS

Meta builds technologies that help people connect, find communities, and grow businesses. The Software Engineer, iOS role focuses on building innovative mobile application experiences, implementing user interfaces, architecting scalable systems, optimizing performance, and providing technical leadership and mentorship.

Responsibilities:

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Demonstrated experience driving change within an organization and leading complex technical projects
• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
• Experience building maintainable and testable code bases, including API design and unit testing techniques
• Shipped at least one large-scale product to production, supporting millions of active users
• 2+ years of experience building complex applications for the iPhone or iPad using Objective-C/C++/Swift with the iOS SDK and other frameworks
• Experience with multithreading programming and mobile memory management
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies