Provide technical leadership on high-impact projects
Manage project priorities, deadlines, and deliverables
Drive technical project strategy and oversee large-scale ML infrastructure optimization
Set organization-wide technical direction and architectural standards for on-device LLMs and multimodal models
Define and execute end-to-end strategy for data curation, automated evaluation, system instructions, agent configuration, model quantization/adaptation, and post-training of Gemini and on-device models
Requirements
Bachelor’s degree in Computer Science or related field
Nice to have: Master’s degree or PhD in Engineering, Computer Science, or related field
Nice to have: Data structures and algorithms
Nice to have: Mobile and on-device ML runtimes
Nice to have: Compilers and frameworks (LiteRT/TFLite, AICore, MediaPipe, CoreML, cross-platform C++ runtimes)
Define long‑term technical solution and lead architecture, development, and production deployment of scalable, low‑latency, multi‑turn agentic AI systems across XR devices paired to Android and iOS
Drive foundational evolution of wearable AI and agentic tech stack
Establish technical direction and lead architecture for integrating and optimizing on‑device LLMs and multimodal models across Android and iOS platforms
Prototype, productionize multimodal AI, agentic reasoning, device‑native tool use, and OS/app integrations tailored to always‑on streaming audio, video, and mobile context under strict latency and compute constraints
Senior Staff Software Engineer, Agentic AI for XRNewGoogle · San Jose, US+1 more