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Software Engineer, Android

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer, Android Developer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Meta is seeking talented experienced engineers to join our teams in building cutting‑edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally.

If you're interested in joining a world‑class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
  • Demonstrated experience driving change within an organization and leading complex technical projects
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
  • Shipped at least one large-scale product to production, supporting millions of active users
  • Experience with multithreading programming and mobile memory management
  • Experience building maintainable and testable code bases, including API design and unit testing techniques
  • 2+ years experience building Android applications in Java using Android SDK
  • 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
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