Responsibilities
Lead and set direction in how Meta develops its future capabilities to deliver high-quality Wearables devices
• Develop APIs in the system-level framework layer that allow other layers of the stack to implement compelling and performant use cases
• Collaborate with cross-functional teams of partners, product managers, and engineers to build an end-to-end solution
• Work with Application and Platform teams to debug functional, performance, and stability issues across the stack
• Build on OS internals. Set technical direction for significant improvements
• Uplift coding and design skills on the team through reviews and the introduction of best practices. Model behaviors through clean readable code, upfront debug-ability and testability when implementing complex components
• Work closely with product management, application software engineers and partners to understand requirements, specify interfaces for new software frameworks, and enhance existing frameworks
• Participate in design reviews and code reviews for the team
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years of Software development experience or PhD with 2+ years of experience
• 3+ years of experience in developing any of the following: Operating Systems, Android internals, lower-level frameworks for mobile apps, Experience coding in either C++ or Java
Preferred Qualifications
• 1+ years of experience developing software for mobile platforms (Android/iOS)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 3+ years experience with any of the following: Android internals, AOSP, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development
• Device constraints - power, thermal, memory, latency - in the domains of low power devices, app frameworks and perception
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with Android UI frameworks and services
• Experience with Android performance tools and security models
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
