Staff Software Engineer, Mobile and On-Device Agentic AI, XR

Google•San Jose, CA

22h•$207,000 - $300,000

About The Position

Google’s software engineers develop technologies that help billions of users connect, explore, and interact with information. This role is on a team building next-generation wearable conversational AI: multimodal, agentic AI experiences across XR devices, using Gemini to combine on-device intelligence with cloud-scale reasoning. The goal is to deliver instant, natural, proactive, and trusted intelligence through smart glasses, headsets, and paired mobile devices while operating within real-world system constraints. The Staff Software Engineer will define technical direction and lead architecture, development, and production deployment of low-latency agentic AI systems across XR devices paired with Android and iOS. The role focuses on evolving the wearable AI and agentic technology stack, integrating and optimizing on-device language and multimodal models, and building device-native capabilities and OS/app integrations for always-on audio, video, and mobile context. The engineer will serve as a principal technical bridge across XR, Android and iOS, On-Device ML, and GDM teams.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
Experience integrating generative AI tools or LLM interfaces into workflows.
5 years of experience with software engineering and large-scale or mobile/embedded ML/AI system architecture and development in C++, Kotlin/Java, Swift/Objective-C, or Python.
5 years of experience with mobile and on-device ML runtimes and frameworks (e.g., LiteRT/TFLite, AICore, MediaPipe, CoreML, or cross-platform C++ runtimes) and hybrid on-device/cloud orchestration.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Exceptional cross-organizational influence and communication skills, with a proven ability to align technical strategy and execution across mobile platform (Android/iOS), research (GDM), infrastructure, product management, and hardware/device engineering teams.
Proven track record leading model and agent hillclimbing (e.g., SFT, RL, LoRA, quantization, prompt/System Instruction tuning, synthetic data generation) and systematic AI quality and performance hillclimbing, including automated evaluation frameworks, autoraters, on-device latency/power benchmarks, and end-to-end loss analysis pipelines.
Demonstrated technical leadership setting technical strategy, architecting foundational systems, and leading multiple engineers or cross-functional teams to deliver complex, ambiguous mobile AI, on-device ML, or agentic initiatives from conception to large-scale production across Android or iOS.

Responsibilities

Define the long-term technical solution and lead the architecture, development, and production deployment of scalable, low-latency, multi-turn agentic AI systems across XR devices paired to Android and iOS.
Drive the foundational evolution of the wearable AI and agentic technology stack.
Establish technical direction and lead the architecture for integrating and optimizing on-device LLMs and multimodal models across Android and iOS platforms.
Pioneer, prototype, and 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.
Serve as the principal technical point of contact and bridge across XR, Mobile (Android and iOS), On-Device ML (ODML), and GDM teams.