SW Specialist - Wearables Interfaces Engineering
Meta AI · Redmond, WA
CHECKED 14H AGO
Big Tech AIonsitestaff$184k–$257k
At a glance
Highlights
- Build platform software bridging Core OS to apps on next-gen wearables.
- Drive system design for immersive experiences across Meta wearables portfolio.
- Optimize full-stack performance, power and reliability for wearable devices.
What they offer
- bonus
- equity
- benefits
Ideal candidate
Veteran systems thinker who thrives leading ambiguous, cross-org platform initiatives and cares deeply about performance, reliability and immersive wearable experiences.
Requirements
- 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
- 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
Lab profile
About Meta AI
Meta's AI lab advancing foundation models, generative and multimodal AI for consumer and enterprise products.
What they build
- Foundation models and AI tools
- Business AI agents
- AI-powered consumer experiences
Known for
- Large language models
- Generative models
- Computer vision
- Multimodal AI