SW Specialist - Wearables Interfaces Engineering

As a SW Specialist on the Wearables Interfaces Engineering team, you will serve as a technical leader responsible for optimizing and integrating platform-level software that runs atop Meta's wearable device stack. Working closely with the Core OS team, you will bridge the gap between operating system capabilities and the application/experience layers. This position requires a holistic view across firmware, OS interfaces, frameworks, middleware, and applications to ensure seamless platform integration and optimal device performance. You will drive cross-functional system design decisions, resolve complex multi-component issues, and set the technical direction for how platform software leverages Core OS to deliver immersive user experiences.

Responsibilities

Platform Architecture & Integration: Drive platform software architecture for wearable devices, ensuring coherent integration across Core OS interfaces, frameworks, middleware, and application layers
Cross-Stack Technical Leadership: Lead system-level initiatives that span OS-to-application boundaries, optimizing frameworks, system services, and applications for performance, reliability, and power efficiency
End-to-End System Debugging: Own resolution of complex, ambiguous issues that span multiple components—OS interfaces, drivers, frameworks, and application software—identifying root causes and driving fixes across teams including Core OS
System Performance & Optimization: Analyze and optimize platform-level performance, latency, memory usage, and power consumption across the framework and application stack
Core OS Partnership: Collaborate with the Core OS team to define platform requirements, influence OS roadmaps, and ensure platform needs are met by underlying OS capabilities
System Health & Reliability: Establish metrics, monitoring, and frameworks to maintain overall system health and reliability for platform software across the wearables portfolio
Cross-Functional Collaboration: Work closely with Core OS, hardware, firmware, connectivity, multimedia, and product teams to align technical strategies and resolve dependencies
Mentorship & Technical Excellence: Mentor engineers across disciplines, fostering systems thinking and best practices for cross-stack development
Documentation & Communication: Communicate platform architecture decisions, integration strategies, and technical trade-offs to stakeholders at all levels clearly and concisely

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Expert-level understanding of platform architecture, including interactions between OS (Linux/Android), system services, frameworks, and application software
Proven track record of leading complex platform integration efforts across OS, frameworks, and application teams
Strong experience with system-level debugging tools and methodologies (system traces, performance profilers, memory analyzers)
Strong programming skills in C/C++ and/or Java/Kotlin with experience debugging across multiple layers of the stack
Familiarity with hardware interfaces and how they surface through OS/driver layers to platform software
Deep understanding of power management, thermal constraints, and performance optimization at the platform level
Experience applying analytical and problem-solving approaches to complex systems issues and communicating technical decisions to technical and non-technical stakeholders
Experience leading cross-functional teams to ship consumer electronics or embedded devices at scale
10+ years of experience in systems engineering, platform software, or embedded systems development with increasing levels of system-level responsibility Experience with wearable devices, AR/VR systems, or mobile device platforms
Background in sensor systems, connectivity (BT/WiFi/Cellular), multimedia, or neural interfaces at the platform layer
Experience working with Core OS teams to define requirements and influence OS capabilities
Familiarity with hardware interfaces and how they surface through OS/driver layers to platform software
Experience with Android platform internals, system services, or framework-level software
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Proficiency in scripting languages (Python, Shell) for system automation and analysis
Experience using AI-powered tools to optimize engineering workflows and drive measurable efficiency gains
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Track record of leading large-scale projects from concept through mass production