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 Staff Research Scientist, Google Cloud AI Research Senior Staff Research Scientist at Google Cloud AI Research focusing on fundamental research, new product innovation, and infrastructure goals within AI and Infrastructure. The role involves setting up large-scale tests, deploying ideas, managing deadlines, and applying theories to develop new products and technologies. It also includes contributing to the research community through publications and collaborations. The team works on hyperscale computing, AI models, and infrastructure at a global scale, contributing to products like Vertex AI. Responsibilities include authoring research papers, contributing to research growth, delivering full projects, identifying new research areas, and engaging stakeholders to address undefined problems. | Pretrain | 9 |
| Staff Software Engineer, Model Quality Staff Software Engineer for Google Pics, an AI-powered visual editor, focusing on building and improving automated evaluation systems for generative AI models. The role involves establishing metrics, running evaluations, providing insights for model quality improvement, and creating tools to enhance the evaluation process, with a roadmap towards a 2026 launch. |
| Eval Gate |
| 8 |
| Staff Software Engineer, AI/ML, Search Ads Staff Software Engineer at Google working on AI/ML for Search Ads. The role involves leveraging AI/ML advancements, including LLMs and Agentic AI, to optimize search results and create new ad experiences. Responsibilities include designing, building, and maintaining self-service tools for AI/ML quality evaluation and architecting systems for deploying and serving AI/ML models for data quality assessment. | ShipAgent | 8 |
| Technical Program Manager, Frontier Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Frontier Safety, Alignment, and Collaboration at Google DeepMind. This role focuses on operational strategy and execution for safe and responsible AI development, bridging AI research with product deployment. Responsibilities include managing safety frameworks, implementing unified safety gates, coordinating evaluations for critical capability levels, and managing mitigation plans for model breaches. The role requires strong program management skills and an understanding of ML/AI safety and alignment principles. | Eval GatePost-train | 8 |
| Software Engineer III, Generative AI, Search Health Software Engineer III for Generative AI in Google Search Health, focusing on improving response quality, implementing new features, prompt engineering, and collaborating with the core model team. Responsibilities include building datasets, analyzing behavior, and running A/B experiments. Requires experience with GenAI techniques and ML infrastructure. | Post-trainAgent | 8 |
| Staff Software Engineer, GPU Performance Staff Software Engineer focused on optimizing GPU performance for LLM training and serving within Google Cloud's AI infrastructure. This role involves identifying performance bottlenecks, running benchmarks, and implementing solutions at scale, with a strong emphasis on low-level GPU programming and compiler optimizations. | Serve | 8 |
| Software Engineer III, Recommendations, Rankings, Predictions, Discover Ranking Google is seeking a Software Engineer III for their Discover Ranking team, focusing on AI-driven personalization. The role involves developing and testing new ranking algorithms and model features, analyzing experiment results, and exploring new techniques for content understanding and personalization. The position requires experience in building and deploying recommendation systems models and ML infrastructure, with a focus on deep learning and LLMs. | ShipAgent | 8 |
| AI Application Engineer This role focuses on building AI agents and advanced analytics pipelines to optimize data center hardware and processes, turning complex datasets into actionable insights. The engineer will lead foundational development for these agents, including data pipelines and API creation, and apply AI/ML techniques to solve operational challenges and predict anomalies. The role also involves partnering with stakeholders to drive automation and innovation. | AgentData | 8 |
| Senior Software Engineer, AI Core Capabilities Senior Software Engineer focused on end-to-end delivery and optimization of on-device GenAI capabilities for Android, building developer-facing APIs and optimizing inference for Gemini Nano models. | ServeAgent | 8 |
| Senior Software Engineer, Sensor AI/ML, Watch Software Senior Software Engineer focused on AI/ML for sensor fusion and gesture recognition on Google's Pixel Watch and Fitbit devices. The role involves designing, training, and optimizing AI models for resource-constrained, on-body devices, with a strong emphasis on real-time inference, low-power formats (TFLite Micro), and C/C++ development for embedded systems. This position bridges research and engineering, requiring expertise in model optimization and deployment on edge devices. | ServePost-train | 8 |
| Staff Software Engineer, AI/ML, YouTube Ads Staff Software Engineer at Google, YouTube Ads, focusing on developing and scaling AI/ML models (deep learning, reinforcement learning, generative AI) for ad creative composition, personalization, and optimization. The role involves end-to-end development from concept to production, building ML pipelines, integrating generative models, and contributing to service architecture for high-throughput ad serving systems. | ShipPost-train | 8 |
| Software Engineer III, Generative AI Software Engineer III, Generative AI at Google Cloud AI Research. This role focuses on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The team works on research topics with real-world impact, aiming to push the state-of-the-art in AI and collaborate with product teams. The role requires experience with GenAI techniques like LLMs and Large Vision Models. | ShipServe | 8 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud Staff Software Engineer at Google Cloud focused on designing, developing, and deploying large-scale GenAI solutions. The role involves leading ML infrastructure optimization, guiding data preparation and model optimization strategies, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models. Requires significant experience in software development, ML infrastructure, and GenAI. | ServePost-train | 8 |
| Senior Business Data Scientist, AI/ML, Google Cloud Senior Business Data Scientist focused on AI/ML for Google Cloud customer support. The role involves developing and deploying predictive, personalized, and proactive solutions using LLMs and intelligent autonomous agents. Key responsibilities include end-to-end development, implementing evaluation frameworks for LLMs and agents, monitoring production systems, and identifying AI/ML opportunities through stakeholder collaboration. The role emphasizes translating business needs into technical requirements and integrating advancements in generative AI and agent architectures. | AgentEval Gate | 8 |
| Field Solutions Architect III, Generative AI, Google Public Sector Field Solutions Architect for Google Public Sector, focusing on building rapid prototype generative AI applications for public sector customers. This role involves leveraging generative AI technologies, collaborating with product teams, and disseminating lessons learned. Responsibilities include designing end-to-end genAI solutions, demonstrating Google Cloud capabilities, building repeatable technical assets, and influencing product direction. Requires experience in applied AI with foundation models, prompt engineering, fine-tuning, RAG, and orchestrating model interactions, along with cloud platform experience and a security clearance. | AgentPost-train | 8 |
| Lead GenAI Forward Deployed Engineer, YouTube Google is seeking a Lead GenAI Forward Deployed Engineer for their YouTube AI Accelerator team. This role focuses on driving AI transformation for YouTube's business operations by redesigning workflows and deploying applied AI solutions. The engineer will build GenAI PoCs, lead the delivery of complex AI applications from prototype to production, and act as a trusted engineering partner. Responsibilities include authoring technical designs, writing code, building front-ends, and developing high-performance eval pipelines and observability frameworks to address AI bottlenecks. | AgentEval Gate | 8 |
| ML Software Engineer, GenAI for Youth ML Software Engineer focused on building scalable, responsible AI frameworks for youth-focused products. The role involves developing unified infrastructure, algorithmic steering, and automated validation layers to bridge foundational research with production environments, operating across global product lines and acting as a technical advisor. | Post-trainServe | 8 |
| Software Engineering Manager II, AI/ML, Google Cloud Compute Software Engineering Manager II for Google Cloud Compute, responsible for leading teams, setting technical vision, and overseeing the design and implementation of ML solutions, including ML infrastructure optimization and model development strategies. Requires strong software development and ML experience, with a focus on leadership and people management. | ServeData | 8 |
| Senior Software Engineering Manager, Agentic Platform, Cloud Security Manage a team of engineers building a Security Agentic Platform for Google Cloud Security Operations, enabling security agents and protecting organizations worldwide. The role involves technical leadership, team management, and overseeing the end-to-end development lifecycle of AI-driven agentic security solutions. | Agent | 8 |
| Senior Staff Model UX Designer, GeminiApp, DeepMind Senior Staff Model UX Designer for Gemini App at DeepMind, focusing on shaping conversational AI experiences from passive responders to proactive partners. The role involves collaborating with PMs, engineers, and researchers to build end-to-end product experiences, guide prompt engineering, initiate qualitative assessments of model performance, and craft multimodal solutions. Requires deep understanding of model capabilities and the eval process, with a focus on user engagement and product innovation in generative AI. | Agent | 8 |
| Software Engineer, AI/ML, Google Research Software Engineer role at Google Research focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in specialized ML areas like speech/audio, reinforcement learning, or ML infrastructure, with a focus on model deployment, evaluation, optimization, and data processing. | ServeData | 8 |
| Senior Silicon System and Software Integration Engineer, Google Cloud This role focuses on the hardware-software integration and validation of AI/ML accelerators (TPUs) for Google Cloud. The engineer will work on ASIC development, validation, software, tools, and methodologies to ensure the functionality and performance of these custom silicon solutions that power Google's AI/ML applications. | Serve | 8 |
| Surfaces Model UX Designer, GeminiApp, DeepMind This role focuses on designing the user experience for Gemini's mobile assistant, specifically for multimodal and voice interactions. The designer will work with advanced AI models to refine responses, optimize context switching, and ensure intuitive and reliable user interactions. Responsibilities include defining conversational structures, implementing system instructions, and conducting qualitative assessments of model performance. The role requires experience in conversational AI/LLMs and designing for multimodal and voice entry points. | Agent | 8 |
| Director, Product Management, SecOps Detections, Google Cloud Security The Director of Product Management will lead the product vision for Google SecOps detection capabilities, focusing on AI/ML integration to create an autonomous SOC. This role involves collaborating with AI researchers and security engineers to develop dynamic detection models, design automated workflows using Generative AI, and integrate advanced ML capabilities into massive telemetry streams for enterprise customers. | AgentPost-train | 8 |
| Director, Product Management, SecOps Responses, Google Cloud Security Product Management Director for an AI-powered security platform, focusing on autonomous threat remediation and Generative AI-driven response strategies within Google Cloud Security. The role involves leading product vision, harnessing LLMs for incident synthesis and remediation plan generation, and building intelligent orchestration workflows for proactive threat containment. | Agent | 8 |
| Staff Software Engineer, Search Agentic Ecosystem Platform Staff Software Engineer to build the foundational platform for Google Search's Agentic Ecosystem, enabling AI Mode and Gemini to interact with third-party services for task completion. The role involves architecting core infrastructure, building use cases, ensuring cross-platform compatibility, and providing technical leadership. | Agent | 8 |
| Staff Software Engineer, Gemini Enterprise Staff Software Engineer role at Google focused on building the backend infrastructure and services for Gemini Enterprise, an AI platform for enterprise data. The role involves architecting orchestration layers for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver solutions for Cloud customers. Experience with C++, Java, Python, Go, software design, architecture, and integrating Generative AI tools is required. | AgentServe | 8 |
| Senior Staff Software Engineer, Gemini Enterprise Senior Staff Software Engineer role focused on building the core backend infrastructure and services for Gemini Enterprise, an AI platform for generative search, assistant, and agent applications over enterprise data. The role involves architecting orchestration layers and frameworks for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver high-impact solutions for Cloud customers. | AgentServe | 8 |
| Staff Software Engineer, Cloud AI Staff Software Engineer for Google Cloud's Gemini Enterprise, focusing on backend infrastructure, orchestration layers for LLMs and agentic workflows, and platform features. The role involves integrating Generative AI tools and LLM interfaces into enterprise solutions, partnering with cross-functional teams to leverage Google's AI models and GCP technologies for Cloud customers. | AgentServe | 8 |
| Software Engineer, ML Fleet Intelligence Software Engineer, ML Fleet Intelligence at Google, focused on applying AI/ML to predict, detect, and mitigate hardware and software faults across a global fleet of data centers and ML TPUs. This role involves leveraging large-scale data, optimizing ML infrastructure, and building automated systems to ensure reliability and uptime. | AgentServe | 8 |
| Silicon System and Software Integration Engineer, TPU Cloud This role focuses on the integration and validation of AI/ML hardware accelerators (TPUs) for Google's cloud infrastructure. The engineer will work on ASIC development, firmware, RTL, and software integration to ensure the functionality and performance of these chips, which power Google's AI/ML applications and services. | Serve | 8 |
| Software Engineer III, AI/ML, Proxybidder ML Software Engineer III on the Proxybidder ML team at Google, responsible for the full machine learning model lifecycle including design, training, deployment, and serving in production for Google Ads. The role involves innovating on model design, analyzing experiments, enhancing model health, and collaborating with research and infrastructure teams. Requires experience with Python, C++, mathematical modeling, and ML infrastructure, with a focus on low-latency production systems. | ServePost-train | 8 |
| Forward Deployed Engineer, DeepMind This role embeds with strategic partners to architect, optimize, and build production-grade GenAI applications, driving joint evaluations and benchmarking to influence model development. It involves guiding partners on advanced implementation techniques like RAG and multimodal integrations, and building feedback loop tooling. | AgentEval Gate | 8 |
| Senior Software Engineering Manager, Agent Registry and AppHub Senior Software Engineering Manager at Google Cloud responsible for the Agent Registry and AppHub. This role focuses on building foundational infrastructure for an AI-native agentic cloud, managing teams, and driving best practices for distributed systems and AI/LLM adoption. Key responsibilities include owning multi-year roadmaps, transforming AppHub into a central registry for AI Agents, and delivering infrastructure for agentic observability and regulatory reporting. | Agent | 8 |
| Software Engineering Manager II, Agentic Planning and Memory Software Engineering Manager II for the Agentic Planning and Memory team, focused on building next-generation agentic capabilities for Google Workspace. The role involves developing advanced general function-calling approaches for autonomous workflow execution and an agentic memory layer for improved context retention, accuracy, personalization, and latency. The manager will lead teams, define technical roadmaps, and collaborate on integrating these capabilities into core Workspace products, impacting billions of users. | Agent | 8 |
| Senior Software Engineer, AI/ML, Geo and Gemini App Senior Software Engineer role focused on building AI/ML features for Google Geo products, involving agentic workflows, evaluation frameworks, and serving infrastructure enhancement. Requires experience with LLMs, RAG, and model quality optimization. | AgentEval Gate | 8 |
| Senior Engineering Manager AI Inference Platform, Distributed Cloud Senior Engineering Manager for AI Inference Platform, Distributed Cloud. Role focuses on architecting and optimizing the serving stack for models like Gemini in an on-prem cloud environment, improving speed, efficiency, and cost-effectiveness. Responsibilities include leading a team, defining technical vision for the LLM serving stack, overseeing performance analysis and benchmarking, and driving the design/implementation of advanced serving architectures. | Serve | 8 |
| Principal Consultant, AI/ML, Mandiant, Google Cloud This role focuses on architecting and building intelligent agents and tooling to automate cyber defense operations. The consultant will translate complex security workflows into AI systems, integrate them with enterprise platforms, and ensure their operational readiness and security. The role requires experience with AI platforms, Generative AI agents, Python, and integrating distributed systems, with a preference for cybersecurity operations and AI evaluation frameworks. | Agent | 8 |
| Research Engineer, Robotics Applications, DeepMind Research Engineer at Google DeepMind focused on applying AI, specifically LLMs/VLMs, to robotics applications. The role involves benchmarking models on robot hardware, building demo tasks, and serving as a technical point-of-contact for testers, feeding insights back to the research team. This position bridges the gap between core AI research and real-world product deployment in robotics. | ShipAgent | 8 |
| Senior Software Engineer, AI/ML, Creative Intelligence Senior Software Engineer at Google focused on developing and productionizing advanced ML models for optimizing Ad creative composition and delivery. The role involves driving technical strategy, building scalable ML pipelines, and mentoring engineers in the intersection of GenAI, ML, and large-scale distributed systems within the advertising product space. | ShipPost-train | 8 |
| Senior Staff Software Engineer, Search Discover Feed Recommendation Infrastructure Senior Staff Software Engineer role focused on leading the architectural work for integrating GenAI capabilities into Google Search's Discover Feed recommendation infrastructure. The role involves evolving the platform into an intelligent, GenAI-powered engine for deep personalization, supporting both offline generation and real-time inference, and optimizing serving latency and infrastructure capacity for billions of users. | ShipServe | 8 |
| Software Engineering Manager II, AI/ML GenAI, Google Cloud Compute Software Engineering Manager II for Google Cloud Compute, focusing on AI/ML GenAI. This role involves technical leadership, team management, and guiding the design and optimization of GenAI solutions, ML infrastructure, and data/model strategies. The position requires significant experience in software development, ML infrastructure optimization, technical leadership, and GenAI techniques. | ServePost-train | 8 |
| Staff Software Engineer, Knowledge Catalog, AI Staff Software Engineer role focused on empowering AI agents within Google Cloud's data ecosystems. The role involves tackling challenges in context engineering, metadata enrichment, search, personalization, conversational analytics, and catalog infrastructure, with a focus on rapid prototyping, experimentation, and integration with products like Gemini Enterprise. The engineer will drive technical goals, influence across boundaries, shape strategy, and lead junior engineers, with a minimum of 8 years of software development experience and 5 years of experience in ML infrastructure and GenAI techniques. | AgentServe | 8 |
| Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo Senior Staff Engineering Analyst Manager for Gemini, NanoBanana, and Veo, focusing on AI model mitigations and post-training. This role involves leading a team, pioneering safety technologies, driving cross-functional alignment, directing launch strategies for foundational models, and applying data science to audit model safety and uncover vulnerabilities. | Post-train | 8 |
| Engineering Manager, GenAI, Google Maps Immersive Navigation Engineering Manager for GenAI in Google Maps Immersive Navigation. This role involves leading a team to build and scale a 3D navigation map using sensor data, large ML models, and AI techniques to create new geospatial data and user experiences. The manager will own the conversion of complex data into precise geometries, set team priorities, develop technical roadmaps, and guide system designs. | ShipData | 8 |
| ML Chip/IP Architect, DeepMind This role focuses on defining the top-level SoC architecture and chiplet strategy for next-generation Machine Learning (ML) accelerators. The individual will lead the architecture and design of the chip top-level, manage interfaces, clocking, power, and integration of IP blocks, and architect specific accelerator components. Collaboration with micro-architecture, physical design, systems, and software teams is crucial to ensure a feasible and optimal design meeting product requirements. | Serve | 8 |
| Staff Software Engineer, Roads Data Quality, Geo Staff Software Engineer role focused on designing and building a 3D navigation map using sensor data, large ML models, and vision transformers. The role involves leading ML model development, data curation, evaluation, and deploying GenAI solutions. It requires technical leadership and collaboration across multiple teams. | AgentData | 8 |
| Senior Software Engineering Manager, Ecosystems and Integrations Databases Senior Software Engineering Manager to lead a team focused on transforming Cloud databases for agentic AI. The role involves managing engineers, contributing to product strategy, and overseeing the deployment of large-scale projects. The team's mission is to build common platforms and frameworks to support agents on all databases, enabling them to use enterprise data effectively. This requires balancing research in AI and databases with shipping products. | Agent | 8 |
| Senior Product Manager, Science AI, Google Research Product Manager for Science AI at Google Research, focusing on leading the development of GenAI tools to accelerate scientific discovery and drive a flagship AI coding product. The role involves defining product strategy, working cross-functionally with engineering and UX, and launching AI-enabled scientific innovations. | Ship | 8 |
| Product Manager, Gemini API Models, DeepMind Product Manager for Gemini API Models at Google DeepMind, focusing on the end-to-end lifecycle of AI models from early access to general availability. The role involves advocating for developers, defining release parameters, influencing API design, establishing feedback loops, and shaping model roadmaps to ensure successful adoption and impact of Gemini models for millions of developers. | ShipPost-train | 8 |