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 |
|---|---|---|
| Staff Software Engineer, BigQuery Agentic AI Staff Software Engineer at Google BigQuery focused on building agentic AI solutions for data processing. The role involves designing and developing systems that integrate LLMs with BigQuery, architecting agents for reasoning over large datasets, optimizing pipelines, and contributing to agentic frameworks with tool use and evaluation. This position is at the intersection of distributed systems and generative AI. | Agent | 9 |
| Senior Software Engineer, DeepMind Senior Software Engineer at Google DeepMind focused on building and enhancing serving solutions for Gemini models, developing new infrastructure for advanced capabilities like streaming and audio logic, and ensuring model quality in production. The role involves driving technical vision and roadmap for the team. | Serve |
| 9 |
| Senior Software Machine Learning Engineer, DeepMind Senior Software Machine Learning Engineer at Google DeepMind focused on building and testing advanced AI agents. Responsibilities include creating agentic workflows, engineering runtime infrastructure for LLMs, partnering with researchers, and designing evaluation frameworks. The role involves working with Gemini models, testing on robots, and ensuring production reliability. | Agent | 9 |
| Software Engineer, Applied AI Software Engineer, Applied AI at Google, focusing on deploying and maintaining production-grade AI agents for Gemini Enterprise. Responsibilities include prompt engineering, fine-tuning, CI/CD, and monitoring agent performance. Requires experience with generative AI agents, ML infrastructure, and potentially speech/audio or reinforcement learning. | AgentPost-train | 9 |
| Engineering Manager, ML Performance Engineering Manager for Google's TPU Performance team, focusing on optimizing the speed and efficiency of AI/ML model training and inference on custom TPU hardware. The role involves leading a team to develop and maintain ML benchmarks, identify performance opportunities, drive optimizations (near-term and out-of-the-box), and participate in algorithmic innovations and co-designing TPU-friendly models. This includes work on inference serving, quantization, and compiler optimizations, serving both internal Google teams and external AI companies. | ServePost-train | 9 |
| Research Software Engineer Research Software Engineer role focused on translating DeepMind's AI breakthroughs into AI/ML experiences for Google's Platforms and Devices (P&D) initiatives. The role involves architecting solutions, guiding product teams from concept to launch, and leading the end-to-end development of AI features, with a focus on shipping AI/ML products to billions of users. Requires experience with LLMs, NLP, and ML infrastructure, with a strong emphasis on building scalable ML infrastructure and leading technical architecture. | ShipServe | 9 |
| Research Software Engineer, Multimodal AI This role focuses on developing and enhancing AI agents, particularly in the multimodal domain (audio, vision), for XR devices. The engineer will work on LLMs, agents, and their integration into next-generation computing products, involving algorithm development, production-quality coding, evaluation planning, and shipping AI innovations. The role requires experience in software development, generative AI, ML frameworks, and multimodal learning. | AgentPost-train | 9 |
| Staff Software Developer, AI/ML, Safety and Security This role involves leading AI/ML projects focused on safety and security within Google Workspace. The primary responsibilities include building LLM-based safety and security auto-raters, developing classifiers for prompt injection attacks, and implementing live traffic observability solutions. The role also requires collaboration with Google DeepMind on research-based defense techniques and with various Workspace product teams to protect AI features. The ultimate goal is to ensure the safety and security of AI features across Google's productivity tools. | AgentServe | 9 |
| Forward Deployed Engineer V, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, addressing integration, data readiness, and state-management challenges. Responsibilities include developing complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying field patterns for product feedback, and co-building with pre-sales and product teams. The role requires strong software development experience, experience with production-grade AI solutions, and building data pipelines using vector databases and RAG. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| Staff Software Engineer, Quality, Google Cloud, Applied AI Staff Software Engineer focused on building and improving AI agents, specifically a meta-layer of agents that build, test, and refine other agents. The role involves developing multi-modal customer support agents with complex reasoning capabilities, embedding Gemini and Vertex AI into client-facing infrastructure, and establishing engineering benchmarks for automated optimization and AI quality assurance in production systems. | AgentEval Gate | 9 |
| Staff Software Engineer, AI Infrastructure, Google Cloud, Applied AI Staff Software Engineer focused on building and scaling high-performance, distributed infrastructure for agentic AI workflows in Google Cloud. The role involves transitioning experimental models into robust production services, ensuring low-latency and reliability for multi-agent systems, and iterating on customer needs for enterprise use cases. | AgentServe | 9 |
| Senior Software Engineer, Google Cloud, Applied AI Senior Software Engineer at Google Cloud focused on developing and deploying agentic AI solutions for enterprise use cases, leveraging Gemini Enterprise. The role involves algorithmic innovations for multi-agent systems, reinforcement learning, multimodal reasoning, and improving LLM reliability and tool use. | Agent | 9 |
| Senior Research Engineer, On-Device Inference, Robotics, DeepMind Senior Research Engineer focused on optimizing Gemini Robotics models for low-latency on-device inference, driving alignment between model and hardware architectures, and influencing future model designs for resource-constrained environments. | ServeAgent | 9 |
| Senior Software Engineer Senior Software Engineer at Google DeepMind focused on building and improving agentic AI features using Gemini models. The role involves developing quantitative evaluations of agent performance, triaging production issues, and contributing to the technical vision and roadmap. Requires a PhD in a related field and experience in software development, algorithm design, systems architecture, Python for ML, and software testing. | AgentEval Gate | 9 |
| Senior Software Engineer Senior Software Engineer role focused on building and enhancing serving solutions for Gemini models, developing new infrastructure for advanced capabilities like large-scale streaming and audio logic, and ensuring the quality of models in production. The role involves collaborating with peers, driving technical vision, and requires experience in C++, algorithm design, debugging ML systems, and productionizing LLMs/multimodal models. | ServeAgent | 9 |
| Software Engineer III, Multimodal Agentic AI, XR This role focuses on designing, developing, and deploying multimodal agentic AI solutions for smart glasses, leveraging Gemini Live and Astra. It involves enhancing multimodal tools, defining strategies for data, evaluation, and post-tuning of Gemini models, and optimizing agent architecture for inference cost. The role emphasizes AI quality for production systems, including evaluation frameworks and model improvements, with a focus on multimodal conversational quality, tool use, and goal-oriented reasoning. | AgentPost-train | 9 |
| Staff Engineer, TPU Co-Design Staff Engineer focused on co-designing TPU hardware for AI/ML applications, bridging model architecture innovation with next-generation hardware design. Responsibilities include optimizing the hardware/software stack for ML model training and serving, developing simulators, and conducting system-level performance analysis. | ServePost-train | 9 |
| Senior Staff Engineer, TPU Co-Design Senior Staff Engineer focused on co-designing TPU hardware for AI/ML training and serving. The role involves defining the hardware/software roadmap, bridging AI research with hardware design, and optimizing performance for large ML models. This position operates at the intersection of AI research and infrastructure engineering, aiming to deliver high-performance, power-efficient accelerators. | ServePretrain | 9 |
| Forward Deployed Engineer III, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will integrate Google's AI products with customer infrastructure, address integration complexities, data readiness, and state management issues. They will also build evaluation pipelines and observability frameworks, and act as a feedback loop to product teams. The role requires strong software development skills, experience with cloud platforms, and building production-grade AI solutions, including RAG and multi-agent systems. | AgentEval Gate | 9 |
| Staff Software Engineer, Generative AI, Search Developer Tools Staff Software Engineer focused on Generative AI for Search Developer Tools, specifically leveraging agentic development to improve product velocity for AI Overviews and AI Mode. The role involves leading the architecture, design, and development of scalable agentic solutions, improving human-AI collaboration, and integrating tools and skills within the Google ecosystem. | Agent | 9 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud Applications AI Staff Software Engineer role at Google Cloud AI Research focusing on designing, developing, and deploying large-scale GenAI solutions. The role involves technical leadership, optimizing ML infrastructure, guiding data preparation and model optimization, and working with LLMs, Multi-Modal, and Large Vision Models. Experience with ML design, infrastructure, and GenAI techniques is required. | ServePost-train | 9 |
| Staff Software Engineer, Machine Learning, Google Chat Staff Software Engineer, Machine Learning for Google Chat, focusing on building and scaling AI infrastructure for enterprise collaboration. The role involves architecting agents, developing GenAI capabilities like RAG and personalized assistants, and optimizing inference costs. Key responsibilities include leading AI-scaled evaluation loops, owning the RAG roadmap, automating NLU bug resolution, and optimizing the AI stack for performance and cost efficiency, with a strong emphasis on bridging AI research and production systems. | AgentServe | 9 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud AI Staff Software Engineer at Google Cloud AI Research focused on designing, developing, and deploying GenAI solutions. This role involves leading the design of GenAI solutions, optimizing ML infrastructure, and guiding the development of data preparation and model optimization strategies. Requires significant experience in software development, ML infrastructure optimization, and state-of-the-art GenAI techniques. | ServePost-train | 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 |
| 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 |
| 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 |