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Software Engineer - iOS (Technical Leadership)
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San Francisco•On-site•Salary•12+ Yrs•1 hour ago
Job description
iOSTechnical LeadershipAI IntegrationCross-Functional Teams
Overview
Meta is seeking talented principal engineers to join teams in building cutting-edge products that connect billions of people around the world. Leads complex technical problems, builds new features, and improves existing products across various platforms.
Responsibilities
- Drive the team's goals and technical direction
- Effectively communicate complex features and systems in detail
- Understand industry & company-wide trends to help assess & develop new technologies
- Partner & collaborate with organization leaders to improve performance of the team & organization
- Identify new opportunities for the larger organization & influence people for staffing/prioritizing these new ideas
- Lead long term technical vision and roadmap for large cross-company efforts
- Suggest, collect and synthesize requirements and create an effective feature roadmap
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Qualifications
- Experience communicating and working across functions to drive solutions
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
- Experience driving large cross-functional/industry-wide engineering efforts
- Experience mentoring/influencing executive stakeholders across organizations
- 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Nice to have
- Experience developing iOS media infrastructure and platforms
- 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
Benefits
- Bonus
- Equity
- Benefits