SW Specialist - Wearables Interfaces Engineering
Meta AI · Redmond, WA
CHECKED 13H AGO
Big Tech AIonsitesenior$219k–$301k
At a glance
Highlights
- Lead platform software architecture for Meta wearable devices end to end.
- Bridge Core OS capabilities to application and experience layers.
- Optimize system performance, power and reliability across wearables portfolio.
What they offer
- bonus
- equity
- benefits
Ideal candidate
A seasoned systems leader who thrives on ambiguous cross-stack challenges and shaping platform direction for wearables to deliver immersive experiences.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering or relevant technical field or equivalent practical experience
- Expert-level understanding of platform architecture across OS, system services, frameworks and applications
- Proven track record leading complex platform integration across OS, frameworks and application teams
- Strong experience with system-level debugging tools and methodologies
- Strong programming skills in C/C++ and/or Java/Kotlin with cross-layer debugging experience
- Familiarity with hardware interfaces surfacing through OS/driver layers to platform software
- Deep understanding of power management, thermal constraints and platform performance optimization
- Experience solving complex systems issues and communicating decisions to technical and non-technical stakeholders
- Experience leading cross-functional teams to ship consumer electronics or embedded devices at scale
- 10+ years experience in systems engineering, platform software or embedded systems development
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