Design and roll out the next-generation multimodal and encoder architecture across workhorse models, integrating frame-level video embeddings in partnership with Google DeepMind.
Lead the evolution of Content Safety’s teacher stack by migrating to next-generation Gemini models and establishing In-Context Learning Video.
Lead the design of Policy enforcement RAG (PeRAG), a low-latency, high-precision retrieval system backed by a unified Long-Term Memory service.
Lead the design of a greenfield Model Debug and Gap Mitigation Agent to automatically diagnose teacher-student distillation gaps.
Provide technical leadership on high-impact projects.
Requirements
Bachelor’s degree or equivalent practical experience
Serve as the technical authority driving the convergence of Artificial Intelligence, silicon/hardware design analysis, and systems engineering
Architect and build generative AI tools, foundation model skills, and agentic workflows by leveraging complex ASIC architectural specifications, system schematics, software contracts, and historical test execution telemetry
Transform how hardware diagnostic software is created, optimized, and deployed across Google’s next-generation compute, accelerator (TPU/GPU), network, and storage infrastructure
Empower Diagnostic Software Engineers to achieve comprehensive test coverage across all hardware components, interfaces, and functional blocks
Optimize test execution time and pinpoint optimal repair actions using advanced artificial intelligence systems
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Master’s degree in Computer Science
Nice to have: Master’s degree in Electrical/Computer Engineering
Nice to have: Master’s degree in Artificial Intelligence
Nice to have: Master’s degree in Computer Science
Senior Staff AI Engineer, Multimodal Agentic AI for Glasses
Architect and scale multi-turn, goal-oriented agentic workflows for real-world task assistance
Serve as a primary technical leader driving the architecture, strategy, and execution of groundbreaking multimodal agentic AI solutions for smart glasses
Define the technical direction and lead cross-organizational efforts to architect and ship trusted, real-time conversational experiences that seamlessly blend voice, streaming vision, and physical-world context
Lead complex, high-impact AI initiatives from research to production launch
Own the technical strategy, system architecture, and end-to-end quality across multiple core pillars
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Master’s degree or PhD in Engineering, Computer Science, or related field
Develop next-generation technologies for how billions of users connect, explore, and interact with information, focusing on Search AI and leveraging models like Gemini.
Responsibilities
Design, develop, and evolve the major components of next-generation Search Serving Infrastructure
Own critical areas of the platform to ensure scalability, reliability, and latency of Google Search
Work collaboratively with Associate Team Leads (ATLs), other engineers, and cross-functional teams
Lead and mentor junior engineers within the team
Uphold and maintain a high bar for code quality and robustness of production systems
Requirements
Bachelor’s degree or equivalent practical experience
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
Senior Staff Software Engineer, AI Mode and AI Overviews Helpfulness
Staff Software Engineer, AI/ML, Generative AI, Ads SafetyNewGoogle · Mountain View, US