Senior Staff Software Engineer, Agentic AI for XR

Google•San Jose, CA

22h•$262,000 - $364,000

About The Position

Google is seeking a Senior Staff Software Engineer to help build the next generation of wearable conversational AI. The team develops multimodal, agentic AI solutions across XR devices, using Gemini to create proactive and trusted experiences. The work combines on-device intelligence with cloud-scale reasoning to deliver natural conversational and agentic capabilities on mobile devices and smart glasses while meeting real-world system constraints. The role provides technical leadership and sets organization-wide direction for integrating, co-designing, and optimizing on-device large language and multimodal models across Android and iOS. It includes defining end-to-end strategies for data curation, automated evaluation, System Instructions, agent configuration, model quantization and adaptation, and post-training, balancing task quality with latency, memory, and battery efficiency. Google software engineers develop technologies and products used at massive scale. Engineers are expected to demonstrate leadership, versatility, and enthusiasm for solving problems across the full stack, with opportunities to work on projects critical to Google's needs.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy and ML design, and optimizing end-to-end machine learning, including model deployment, evaluation, data processing, debugging, and fine-tuning.
5 years of experience with on-device models (LLMs and multimodal models) and/or multimodal AI agents, including architecting solutions for mobile and wearable constraints such as memory/RAM, thermal envelopes, battery/power budgets, real-time latency, and Android/iOS background execution lifecycles.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
Expertise in mobile and on-device ML runtimes, compilers, and frameworks such as LiteRT/TFLite, AICore, MediaPipe, CoreML, hardware accelerators/NPUs, or cross-platform C++ runtimes.
Track record directing organization-wide model and agent hillclimbing, including model co-design, distillation, quantization, LoRA, prompt/System Instruction architecture, synthetic data ecosystems, and systematic AI quality and performance improvements.
Ability to align multi-year technical strategy and execution across executive leadership in mobile platforms (Android/iOS), research (GDM), silicon/hardware, infrastructure, and product management.

Responsibilities

Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
Set organization-wide technical direction and architectural standards for integrating, co-designing, and optimizing on-device LLMs and multimodal models across Android and iOS.
Define and execute end-to-end strategies for data curation, automated evaluation, System Instructions, agent configuration, model quantization and adaptation, and post-training of Gemini and on-device models for mobile and smart glasses use cases.
Jointly optimize task quality and system efficiency, including latency, memory, and battery usage.