SW Specialist - Wearables Interfaces Engineering

About the job

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.

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