SW Specialist - Wearables Interfaces Engineering

Meta Careers; Redmond, New York (WA, NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Meta is seeking a Software Engineer for Wearables Interfaces Engineering to bridge Core OS capabilities with app and experience layers on wearable devices.

You will drive cross-functional system design, own complex multi-component challenges, and lead large-scale initiatives across OS, frameworks, and apps.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant field, or equivalent practical experience.
• 10+ years in systems engineering, platform software, or embedded development.
• Experience leading platform integration across OS, frameworks and applications with org-level impact.
• Expert-level understanding of platform architecture including interactions between OS, services, frameworks, and apps.

Responsibilities

• Lead major platform initiatives spanning OS, frameworks, and application teams.
• Drive architectural decisions for wearable device platform software.
• Collaborate across Core OS teams to define requirements and influence capabilities.

Skills

C/C++

Java/Kotlin

Embedded systems

System design

OS/Linux/Android

Debugging tools

AI tools

Sensor systems

Connectivity (BT/WiFi/Cellular)

Power management

Python/Shell scripting

Education

BS in Computer Science/Computer Engineering or related field

BS in Electrical Engineering or related field

Tools

System tracing tools

Performance profilers

Memory analyzers

Job description

Meta is building the next generation of wearable devices that bring people closer together. As a Software Engineer on the Wearables Interfaces Engineering team, you will be responsible for the platform-level software that bridges Core OS capabilities with the application and experience layers on Meta's wearable devices. You will drive cross-functional system design decisions, own the most complex multi-component technical challenges, and help set the technical direction for how platform software leverages Core OS to deliver immersive user experiences. This role requires deep systems thinking across firmware, OS interfaces, frameworks, middleware, and applications—and the ability to lead major initiatives that span organizational boundaries.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience10+ years of experience in systems engineering, platform software, or embedded systems development
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• Experience leading complex platform integration efforts across OS, frameworks, and application teams with demonstrated org-level impact
• Expert-level understanding of platform architecture including interactions between OS (Linux/Android), system services, frameworks, and application software
• Proficiency in C/C++ and/or Java/Kotlin with experience debugging across multiple layers of the stack
• Experience with system-level debugging tools and methodologies (system traces, performance profilers, memory analyzers)
• Track record of solving highly complex technical problems that span multiple systems and teams
• Experience shipping consumer electronics or embedded devices at scale
• Understanding of power management, thermal constraints, and performance optimization at the platform level
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Background in sensor systems, connectivity (BT/WiFi/Cellular), multimedia, or neural interfaces at the platform layer
• Experience using AI-powered tools to optimize engineering workflows and drive measurable efficiency gains
• Experience with Android platform internals, system services, or framework-level software
• Familiarity with hardware interfaces and how they surface through OS/driver layers to platform software
• Track record of leading large-scale projects from concept through mass production
• Experience working with Core OS teams to define requirements and influence OS capabilities
• 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)
• Experience with wearable devices, AR/VR systems, or mobile device platforms
• Proficiency in scripting languages (Python, Shell) for system automation and analysis