Meta is seeking talented experienced engineers to join their teams in building cutting-edge products that connect billions of people around the world. The Software Engineer, iOS will collaborate with cross-functional teams to build innovative application experiences, implement custom user interfaces, and architect efficient systems for complex applications.
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