Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Agentic AI Systems, Cloud Security Senior Software Engineer role focused on building agentic AI systems for Google Cloud Security. The role involves developing and launching next-generation agentic features, creating a foundational AI platform for security agents, and scaling products to defend enterprises. Requires experience in software development, ML infrastructure, and state-of-the-art GenAI techniques. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Public Sector and Education, Google Cloud Lead a team of AI/ML engineers focused on deploying bespoke agentic solutions within customer environments for Google Cloud's Public Sector and Education clients. This role involves technical mentorship, strategic alignment with sales and product leadership, and resolving production-level obstacles to achieve enterprise-grade AI maturity. The team leverages Google's frontier AI models and Vertex AI platform to solve complex business problems. |
| Agent |
| 8 |
| Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Senior Applied ML Engineer focused on Graph Neural Networks within the Graph Flow platform, bridging pioneering models with enterprise solutions. The role involves defining new features, technical leadership, literature reviews, experimentation, efficient implementation on target hardware, and productionizing components. It also includes mentoring and collaborating with clients and research partners, with a focus on applied research and engineering. | ServePost-train | 8 |
| AI Research Software Engineer, Code Search AI Research Software Engineer focused on empowering agents and engineers with efficient and intelligent code exploration capabilities. This role involves partnering with agent teams to create sub-agents, tools, and RAG solutions, researching new techniques for code exploration, integrating LLMs and RAG for natural language code search and chat agents, and improving the scalability of the Code Search platform. | AgentServe | 8 |
| Software Engineer, ML Quality, Google Labs Software Engineer focused on ML Quality within Google Labs, incubating early-stage AI efforts. The role involves leading quality initiatives for agentic systems, optimizing prompts, building evaluation frameworks, implementing instrumentation, and translating data insights into product improvements. This is a 'zero-to-one' full-stack AI application development role. | AgentEval Gate | 8 |
| Senior Data Cloud Blackbelt Manager, Data and AI Senior Manager to lead a new team focused on incubating generative AI solutions for enterprise customers. The role involves architecting and deploying AI agents on Google's data cloud services, acting as a technical liaison with customer executives, and influencing product roadmaps based on customer needs and technical challenges. | Agent | 8 |
| Senior Staff Software Engineer, TPU Performance Senior Staff Software Engineer focused on optimizing ML training and serving performance on Google's TPUs. This role involves identifying and maintaining benchmarks, driving performance improvements through compiler/runtime optimizations and algorithmic innovations, and co-designing TPU-friendly models. Experience with ML infrastructure, speech/audio, or reinforcement learning is required. | ServePost-train | 8 |
| Senior TPU RTL Design Engineer, Networking, Inter-Chip Interconnects Senior engineer to design and develop RTL for Google's next-generation Tensor Processing Units (TPUs), focusing on inter-chip interconnects for AI and networking accelerators. This role involves microarchitecture, RTL design, implementation, and collaboration with system architects and verification teams to ensure high-performance, power-efficient silicon solutions for AI workloads. | Serve | 8 |
| Emerging Impacts Manager, DeepMind This role focuses on leading ethics and safety reviews for AI projects at DeepMind, assessing downstream societal implications and governance considerations. The manager will collaborate with safety communities to inform model policy, prepare for emerging AI capabilities, and refine assessment frameworks by monitoring real-world impact. They will also design engagement models, develop best practices, and support the responsibility and safety council by presenting project assessments to executive stakeholders. The role requires experience in AI ethics and safety within a governance, policy, legal, or research capacity, with a focus on leading end-to-end assessments of ethical and societal questions related to technology development. | Eval Gate | 8 |
| Senior Research Software Engineer, Google Research Research Software Engineer at Google Research focused on developing and deploying vision models for Auto HD Mapping to improve autonomous driving capabilities. The role involves the full ML lifecycle from literature review and data collection to model training, tuning, evaluation, and deployment, leveraging existing Google models and technologies. | Post-train | 8 |
| RTL Design Engineer, Machine Learning Accelerators This role focuses on the RTL design of Machine Learning Accelerators (TPUs) for Google's AI/ML applications. The engineer will design and verify complex digital designs with a focus on TPU architecture and its integration within AI/ML-driven systems, contributing to custom silicon solutions. | Serve | 8 |
| Software Engineer, AI i18n and Evaluations Software Engineer focused on AI internationalization and evaluations for Pixel and Android. Responsibilities include leading R&D for AI feature expansion, quality evaluations, and rater quality using on-device and server-based models. Tasks involve creating auto-raters, ensuring metric consistency, establishing benchmarks, and collaborating with AI feature teams. The role also involves identifying opportunities and leading roadmaps to scale language capabilities and improve model evaluation processes. | Eval GatePost-train | 8 |
| ML Engineer, GenAI Ads, Search Personalization ML Engineer role focused on Generative AI for Search Ads Personalization, involving modeling user preferences, building inference infrastructure, and deploying recommendation systems. | Ship | 8 |
| Senior Staff Tech Lead, YouTube Shorts Discovery Tech lead for AI/ML software engineers focused on YouTube Shorts discovery models, aiming to align recommendations with user interests. This involves building large-scale AI/ML systems using techniques like LLMs, generative retrieval, and long-sequence modeling for personalized retrieval and early-stage ranking. The role requires defining technical strategy, leading high-impact projects, and partnering with cross-functional teams. | AgentServe | 8 |
| Staff Software Engineer, Content Safety, Infrastructure Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization. | AgentServe | 8 |
| Staff Software Engineering, YouTube ML Efficiency Staff Software Engineer focused on ML efficiency for YouTube's recommendation systems, working on optimizing models for next-gen TPUs, enabling new architectures and training procedures, and reducing complexity in the ML training and serving ecosystem through automation. | ServeData | 8 |
| Software Engineering Manager II, AI/ML GenAI, Google Cloud Software Engineering Manager II for Google Cloud's AI/ML GenAI team, focusing on leading teams to deliver AI and Infrastructure at scale. The role involves setting team priorities, developing technical vision and roadmaps, guiding system designs, and leading the design of GenAI solutions, optimizing ML infrastructure, and guiding data preparation and model optimization strategies. Requires significant experience in software development, ML infrastructure optimization, technical leadership, and GenAI techniques. | ServePost-train | 8 |
| Staff Research Scientist, App and Ecosystem Trust Research Scientist role focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, and using machine learning for malware detection and evasion technique neutralization. | Agent | 8 |
| Group Product Manager, Cloud AI, Agent Platforms and Deployment Product Manager for Google Cloud's Agent Platforms and Deployment, focusing on the strategy and real-world deployment of AI agents. This role bridges business requirements and technical architectures, working directly with customers to build solutions using Google's AI stack and scaling the Gemini Enterprise platform. Responsibilities include owning technical delivery, extracting signals for platform improvement, translating business needs to data representation, developing agent handholding frameworks and guardrails, and informing the core platform roadmap. | Agent | 8 |
| Senior Software Developer, AI/ML, Conversational Insights Senior Software Developer role focused on building and implementing AI/ML solutions for conversational insights and AI Agents within Google Cloud's Applied AI division. The role involves developing investigative tools, recommendation systems, and skill matching capabilities for AI Agents, with a focus on Gemini Enterprise and Vertex AI Search. | AgentServe | 8 |
| Fullstack Software Engineer, GenAI, DeepMind Software Engineer role focused on building and testing AI agents within a robotics context, integrating hardware and software systems for agent evaluation and deployment on robots. | AgentServe | 8 |
| Forward Deployed Engineer V, GenAI, Google Cloud Forward Deployed Engineer for GenAI on Google Cloud, focusing on building and deploying agentic AI solutions within customer environments. This role involves coding, debugging, and shipping bespoke agentic workflows, bridging the gap between AI products and enterprise infrastructure, and providing feedback to product roadmaps. | AgentServe | 8 |
| Forward Deployed Engineer, Google Cloud Forward Deployed Architect for Google Cloud's Generative AI team, focused on building and deploying reference agentic solutions for enterprise customers. This role involves integrating AI models with customer infrastructure, addressing data readiness and state management, and developing evaluation and observability frameworks. The position also acts as a feedback loop to the product roadmap. | AgentServe | 8 |
| Senior Software Engineer, Generative AI Senior Software Engineer role focused on implementing and deploying Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, involving design, development, testing, and maintenance of AI solutions. | AgentServe | 8 |
| Senior Software Engineer, Recommendations, Rankings, Predictions, Search Discover Google is seeking a Senior Software Engineer to work on its AI-driven personalization and recommendation engine for Search and Discover. The role involves developing and testing new ranking algorithms and model features, analyzing experiment results, and designing/implementing recommendation systems models. The engineer will leverage ML infrastructure and contribute to architecture design, influencing what millions of users see daily. | ShipAgent | 8 |
| Senior Software Engineer, AI/ML, AI Garage Senior Software Engineer, AI/ML role focused on leading the design, development, and deployment of AI-powered solutions for HR processes within Google's global workforce. The role involves technical leadership, architecting scalable AI/ML systems, driving algorithm development, owning the MLOps lifecycle, and collaborating with cross-functional partners to translate business needs into AI-driven roadmaps. | Serve | 8 |
| Senior Software Engineer, Generative AI, Google Ads Senior Software Engineer role focused on building Generative AI and agentic solutions for the Google Ads Ask Advisor platform. This role involves leveraging LLM orchestration, multimodal streaming, and Ads data signals to create autonomous AI capabilities for advertiser support. The work is high-visibility, involves collaboration with Google DeepMind, and aims to scale AI solutions directly to advertisers and the Google Ads Sales organization. | Agent | 8 |
| Forward Deployed Engineer, Gen AI, Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. Acts as a feedback loop to product roadmap and deploys AI systems. | AgentEval Gate | 8 |
| Gameplay Programmer, Games, Inception, DeepMind Gameplay Programmer and Prototyper role focused on building interactive experiences that integrate generative models and agentic workflows as core game mechanics. The role involves creating 0-to-1 prototypes, building tools for designers and researchers, integrating streaming models into game environments, and solving technical bottlenecks in early-stage projects. Requires experience in game tech R&D, AI/ML, and architecting new systems. | AgentServe | 8 |
| Software Engineer III, Machine Learning, Search Intelligence Software Engineer III, Machine Learning, Search Intelligence at Google, focused on developing and deploying core ranking and machine learning models for Google Search. The role involves building data pipelines, contributing to model distillation, and maintaining training infrastructure to improve performance for challenging queries, particularly for long-tail query scenarios. The position requires experience in software development, ML infrastructure, and potentially speech/audio, reinforcement learning, or other ML specializations. | Post-trainServe | 8 |
| Group Product Manager, Maps Agentic Capabilities and Experiences Group Product Manager for Google Maps, focusing on driving the product strategy and roadmap for agentic AI capabilities and experiences. The role involves taking complex AI concepts from 0-to-1 launch, defining features that transform user interaction with the physical world through Maps, and building reliable agentic frameworks. Requires strong product management experience, AI fluency, and the ability to ship AI models or applications at scale. | Agent | 8 |
| Software Engineer, AI Software Agents Software Engineer role focused on building and developing AI software agents, partnering with researchers and product teams to create emerging AI capabilities and technologies. The role involves understanding developer pain points, ideating, running experiments, and turning new ideas into finished products, with a strong emphasis on generative AI agents. | Agent | 8 |
| Software Engineering Manager, Organizational Engineering, DeepMind Software Engineering Manager at DeepMind to lead the design and deployment of scalable full-stack solutions and AI-powered platforms for measuring the intelligence of AI agents. Responsibilities include creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. The role requires strong software engineering foundations and leadership experience. | AgentEval Gate | 8 |
| Staff Software Engineer, AI/ML, Google Public Sector Staff Software Engineer at Google Public Sector focused on architecting and deploying large-scale distributed data systems and advanced machine learning pipelines, optimizing inference workloads for specialized hardware accelerators, and leading technical direction for complex production software systems. The role involves managing petabyte-scale data ingestion, optimizing numerical operations, and implementing data life-cycle policies. | ServeAgent | 8 |
| Senior Staff Software Engineer, AI/ML, Security Senior Staff Software Engineer focused on AI/ML Security for Google Cloud, specifically on securing LLMs against threats like prompt injection and data exfiltration. The role involves defining technical strategy, designing and implementing scalable systems, influencing security roadmaps across Google, and resolving technical disagreements. It requires experience in ML infrastructure, AI model security, and delivering enterprise-grade security products. | AgentEval Gate | 8 |
| Software Engineering Manager II, Chrome AI Software Engineering Manager II for Chrome AI at Google, responsible for leading a team to integrate Generative AI (Gemini) into the Chrome browser to enhance quality and user experience. The role involves technical leadership, team management, defining roadmaps, and partnering with cross-functional teams to productionize AI systems at scale. | Ship | 8 |
| Forward Deployed Architect, Generative AI, Google Cloud The Generative AI Forward Deployed Architect will act as an embedded builder for Google Cloud, developing and providing reference agentic solutions for enterprise customers. This role involves bridging the gap between frontier AI and customer infrastructure, addressing integration, data readiness, and state-management issues. Responsibilities include architecting and developing reference prototypes, building evaluation pipelines and observability frameworks for agentic systems, and translating field insights into product feature requests. The role requires experience with production-grade solutions, data pipelines, RAG, vector databases, and ensuring data sovereignty and model governance. | AgentServe | 8 |
| Senior Software Engineer, Gmail Abuse and Safety Protections Senior Software Engineer role focused on protecting Gmail users from abuse, particularly leveraging GenAI and ML techniques. The role involves assessing threats from new technologies like GenAI, designing safeguards, driving improvements through ML algorithms and systems, and building production-ready ML systems. It requires experience with ML infrastructure, GenAI techniques, and data analysis, with a focus on applied machine learning in user-facing products and safety/abuse fighting. | Post-trainServe | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Performance Software Engineer III role focused on implementing GenAI solutions within Google Cloud, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts and text, image, video, or audio generation. | Serve | 8 |
| Senior Staff Tech Lead, YouTube Shorts Quality Senior Staff Tech Lead for YouTube Shorts Quality, focusing on optimizing the feed and user satisfaction through large-scale recommendation systems. This role involves defining technical strategies, leading teams in designing and deploying recommendation models, and partnering with cross-functional teams to drive growth in the Shorts ecosystem. | ShipServe | 8 |
| Machine Learning SoC Architect, Google Cloud Silicon This role focuses on the architecture of Machine Learning System-on-Chips (SoCs), specifically TPUs, for AI/ML hardware acceleration. The individual will shape the future of AI/ML hardware, drive edge-AI product development, and work on distributed inference technology for real-time systems. Responsibilities include developing architectural specifications, owning IP architecture, collaborating with algorithm teams, performing architecture studies, and leading architectural blocks through the product lifecycle. | Serve | 8 |
| Software Engineer III, Full Stack, Cloud AI Software Engineer III role focused on building AI-powered conversational agents using Gemini and the Agent Development Kit (ADK) for emerging markets. The role involves designing and implementing agentic workflows to provide intuitive access to public services, with a focus on voice-enabled interfaces and low-connectivity environments. This position contributes to national-scale digital transformation by creating interoperable systems for various sectors. | Agent | 8 |
| Senior Forward Deployed Developer, Generative AI, Google Cloud Senior Forward Deployed Developer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. It acts as a bridge between frontier AI and production reality, providing feedback to the product roadmap. | AgentEval Gate | 8 |
| Staff Software Engineer, AI Engines 3P TPU Inference Staff Software Engineer focused on AI Engines 3P TPU Inference, working on ML infrastructure, compilers, and runtimes for Google's AI models. The role involves developing and optimizing ML software infrastructure, partnering with research, and ensuring high performance and scalability for inference. | Serve | 8 |
| Senior Staff Software Engineer, Google Product Studio Senior Staff Software Engineer to lead design and development of AI-powered content creative generative experiences for small and medium businesses, leveraging multimodal AI (image, text, video) to democratize marketing. | ShipPost-train | 8 |
| Research Engineer, Security and Privacy, DeepMind Research Engineer at Google DeepMind focused on building security and privacy solutions for AI agents, specifically addressing prompt injections and contextual security vulnerabilities. The role involves developing classifiers and policy engines, and working with product teams to integrate these solutions. The position emphasizes research, publication, and contributing to the broader AI community. | AgentEval Gate | 8 |
| Staff Software Engineer, AI/ML, Google Cloud AI Staff Software Engineer at Google Cloud AI, focusing on developing and deploying large-scale AI/ML solutions for customer experience applications powered by Gemini Enterprise. The role involves technical leadership, optimizing ML infrastructure, and guiding model optimization and data processing strategies. | ServeData | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish) Forward Deployed Engineer III for Google Cloud, focusing on building and deploying production-grade generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Requires strong software development skills, experience with AI systems on cloud platforms, RAG, and vector databases. | AgentServe | 8 |
| Forward Deployed Engineer I, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers on Google Cloud. This role involves architecting, coding, and optimizing AI systems, including multi-agent systems and RAG, while also building evaluation pipelines and observability frameworks. | AgentEval Gate | 8 |
| Forward Deployed Engineer IV, Applied AI, Google Cloud Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions, owning the end-to-end engineering lifecycle for customers' critical AI initiatives. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and co-building with customer engineering teams to instill best practices. The role requires experience with software development, ML operations, cloud infrastructure, and deploying resources via tools like Terraform. | AgentServe | 8 |
