Drimva

Meta

Software Engineer, AI Specialist - Wearables AI (Technical Leadership)

$219K–$301K

Burlingame, CA · Full-time · Posted Jul 9, 2026

Experience
12+ years of software engineering experience focused on AI, LLM systems, or applied AI in production environments.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Leads the technical direction and development of large-scale AI systems and experiences for Meta wearables, including smart glasses and future wearable platforms.

What you'll do

  • Architect and deliver multimodal wearable AI systems, including an omni LLM, with attention to power, latency, reliability, and real-time performance.
  • Set technical foundations, standards, and the multi-year roadmap for wearable AI development, evaluation, and deployment.
  • Lead cross-functional initiatives, translate AI research into production systems, mentor engineers, and advance AI-driven engineering workflows.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 12+ years of software engineering experience focused on AI, LLM systems, or applied AI in production environments.
  • Experience architecting and delivering large-scale AI, leading multi-team technical initiatives, and resolving systemic engineering issues.
  • Experience communicating complex AI designs and technical trade-offs to technical and non-technical audiences.

Nice to have

  • Peer-reviewed AI research contributions or a track record of translating research advances into production AI systems.
  • Experience with large-scale Omni LLM training optimization, distributed training, inference efficiency, conversational AI, vision understanding, or wearables AI.

Pay

$219,000/year to $301,000/year USD base salary; bonus and equity amounts not stated

Tools

Omni LLM, distributed training frameworks, quantization, distillation, speculative decoding

AI focus

Build and lead multimodal wearable AI, including omni LLMs, conversational assistants, vision, audio, agentic capabilities, and AI tooling and automation for engineering workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)