Summary 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.

Required Skills Software Engineer, Wearables Interfaces Engineering Responsibilities

Drive platform software architecture for wearable devices, ensuring coherent integration across Core OS interfaces, frameworks, middleware, and application layers

Lead system-level initiatives that span OS-to-application boundaries, optimizing frameworks, system services, and applications for performance, reliability, and power efficiency

Own resolution of the most complex, ambiguous technical problems that span multiple components—OS interfaces, drivers, frameworks, and application software—identifying root causes and driving fixes across teams

Analyze and optimize platform-level performance, latency, memory usage, and power consumption across the full stack, setting org-wide standards and tooling for measurement

Partner with the Core OS team to define platform requirements, influence OS roadmaps, and ensure platform needs are met by underlying system capabilities

Establish metrics, monitoring, and reliability frameworks to maintain system health for platform software across the wearables portfolio

Collaborate cross-functionally with Core OS, hardware, firmware,



connectivity, multimedia, and product teams to align technical strategies and unblock dependencies

Communicate platform architecture decisions, integration strategies, and technical trade-offs clearly to stakeholders at all levels, driving alignment on direction and priorities

Leverage AI tools and workflows to accelerate development, improve system analysis, and scale your impact across the organization

Minimum Qualifications Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

10+ 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

Preferred Qualifications Preferred Qualifications:

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

Public Compensation $183,997/year to $257,000/year + bonus + equity + benefits

Industry Internet

Equal Chance Meta is proud to be an Equal Employment Opportunity and Aff… (Full paragraph as provided)

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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📌 Software Engineer, Wearables Interfaces Engineering (Redmond)
🏢 Meta
📍 Redmond