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 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 architectures and edge device constraints, and influencing research and engineering teams for robust solutions. Requires deep knowledge of inference techniques across GPU, TPU, and CPU architectures. | ServeAgent | 9 |
| Technical Program Manager, Agents Innovation, DeepMind Technical Program Manager at Google DeepMind focused on driving the execution of agentic capabilities from research to production, specifically for Gemini and other Google products. This role involves managing the lifecycle of agentic innovations, building pathways between research and product teams, and understanding the AI model development lifecycle. |
| 9 |
| Research Scientist, Visual Data and Generative Research Research Scientist focused on visual data and generative models, specifically for creating high-quality synthetic training data for foundation models. This involves designing data acquisition strategies, optimizing hardware, implementing fine-tuning methods, developing automated labeling pipelines, and creating evaluation datasets for visual quality issues. | DataPost-train | 9 |
| Research Scientist, Robotics, Embodied AI, DeepMind Research Scientist role focused on developing Vision Language Action (VLA) models and agentic systems for physical robots, enabling them to perceive, plan, think, use tools, and act in real-world environments. The role involves training embodied reasoning VLMs, working with simulators and real robots, and advancing areas like general-purpose robotics, human-robot interaction, and continual learning. | AgentPost-train | 9 |
| Research Engineer, Gemini Latent Thinking, DeepMind Research Engineer at Google DeepMind focused on architecting, scaling, and landing latent thinking in Large Language Models (LLMs) and reasoning. The role involves developing novel algorithms, formulating research hypotheses, designing and implementing ML experiments, and partnering with teams to integrate scientific breakthroughs into frontier models. Experience in LLM training (pre-training or post-training) and publishing research is preferred. | PretrainPost-train | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves creating novel evaluations, red-teaming, implementing robust defenses, and monitoring risks, with a strong emphasis on agentic AI systems and adversarial robustness. | AgentEval Gate | 9 |
| Senior Product Manager, Gemini Agentic Capabilities, DeepMind Product Manager for Gemini's agentic capabilities, focusing on defining excellence, scaling evaluation frameworks, and driving research. The role involves bridging model research and ecosystem needs through data-driven methods, synthetic data generation, and loss analysis, with a specific emphasis on tool use and agentic evaluations. | AgentEval Gate | 9 |
| Power and Performance Architect, TPU This role focuses on defining and driving the power architecture roadmap for Google's next-generation TPUs, which are AI/ML hardware accelerators. The architect will bridge the gap between high-level concepts and silicon execution, optimizing for performance-per-watt for ML workloads and ensuring successful implementation of power management features. This involves collaboration with various teams, including SOC implementation, hardware/software validation, and data center operations, to align silicon capabilities with system-level power constraints. The role requires deep expertise in computer chip design, performance analysis, and power analysis, with a strong emphasis on machine learning accelerator architecture and workload characterization for power optimization. | Serve | 9 |
| Staff Software Engineer, Gemini App Personalization, DeepMind Staff Software Engineer on the Gemini App Personalization team, building next-generation personal AI assistants using Gemini models. Responsibilities include developing personalization capabilities, model post-training, evaluation, data handling, serving, and production deployment. Also involves creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. | AgentPost-train | 9 |
| Software Engineer, AI System Hacker, GenAI, DeepMind Software Engineer role at Google DeepMind focused on building and testing AI agents. Responsibilities include developing agent testing systems, creating test problems in simulators, visualizing results, building leaderboards, and testing algorithms on robots. The role involves working on both frontend and backend infrastructure for AI tools, improving LLMs, and integrating AI into Google products. Requires strong software engineering skills and experience with Generative AI Agents. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI (GenMedia), Google Cloud Forward Deployed Engineer for Generative AI in the Media & Entertainment sector on Google Cloud. This role involves building, debugging, and shipping bespoke agentic solutions directly within customer environments, bridging the gap between frontier AI products and production reality. Responsibilities include developing complex AI applications, architecting integrations, building evaluation pipelines, and providing feedback to product teams. Requires experience in production-grade AI solutions, cloud platforms, data pipelines with vector databases and RAG, and leading technical discovery. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI Go-To-Market organization, focusing on building and deploying end-to-end GenAI solutions for customers. This role involves rapid prototyping, integrating AI/ML with the broader cloud stack, and translating customer needs into scalable assets. | AgentServe | 9 |
| Staff Software Engineer, On-Device Hybrid Multimodal AI Staff Software Engineer role focused on developing and optimizing on-device and hybrid multimodal AI models (LLMs, agents, vision, audio) for XR devices. Responsibilities include leading development, creating evaluation plans, implementing innovations in agent architectures and multimodality, rapid prototyping, and collaborating with research and product teams. Requires strong software development experience with C++, Python, and Generative AI, along with ML/AI experience. | AgentServe | 9 |
| Staff Research Engineer, Gemini Audio, DeepMind Staff Research Engineer focused on Gemini Audio at DeepMind, developing multimodal models (audio/audio-visual) and driving end-to-end development from pretraining to production systems, utilizing RL frameworks for training infrastructure and model training. | Post-trainServe | 9 |
| Research Engineer, Frontier Safety Loss of Control, DeepMind Research Engineer focused on developing monitoring and control systems for potentially misaligned AI agents to mitigate risks of extreme harms. This involves designing, building, and testing monitors, implementing response policies, and conducting adversarial testing. The role aims to prepare for the internal use of potentially misaligned AI systems by building defense-in-depth against AI that might persistently pursue unintended goals. | AgentEval Gate | 9 |
| Staff Software Developer, AI/ML, Safety and Security Staff Software Developer on the GAWSS team responsible for building and implementing AI/ML-based safety and security mitigations for Google Workspace products. This includes developing LLM-based auto-raters, classifiers for prompt injection attacks, and live traffic observability solutions. The role involves collaboration with Google DeepMind on research and with various product teams to protect AI features across Workspace applications. | AgentServe | 9 |
| Audio Algorithm Architect, Applied Research Applied Research role focused on foundational audio algorithms for Pixel and Buds, specifically Superhuman Hearing and Open Ear ANC. The role involves exploratory, non-timeline-based research in a high-velocity, startup-style team, aiming for massive user differentiation and defining agentic audio experiences. | Post-train | 9 |
| Senior Staff Research Engineer, DeepMind Senior Staff Research Engineer at Google DeepMind focused on Agent Evals and Quality for GenAI model improvement and product development. The role involves developing, evaluating, and optimizing LLM-based agents for complex, multi-step tasks. Responsibilities include constructing quantitative benchmarks and automated evaluation frameworks (e.g., LLM-as-a-judge) to measure agent capabilities in reasoning, planning, and tool use, as well as creating and optimizing data mixes from user feedback for training and fine-tuning agents. The role also requires analyzing agent behavior to identify failure modes and performance bottlenecks. | Eval GateAgent | 9 |
| Staff AI Research Engineer, Large User Models Staff AI Research Engineer focused on architecting the strategy and roadmap for foundation recommender model pre-training. This role involves owning the research agenda, defining and prioritizing experiments for model quality under compute constraints, and partnering with data, ML infrastructure, and engagement teams to shape roadmaps, define training framework requirements, and establish evaluation benchmarks. | PretrainPost-train | 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 |
| Senior Staff Software Engineer, Machine Learning, ML Training Senior Staff Software Engineer focused on building and delivering ML frameworks for training large language models (LLMs) and stable diffusion models for Google Cloud customers. The role involves designing and implementing AI frameworks software for various ML workloads, identifying and resolving software and performance issues, and collaborating with cross-functional teams. Requires extensive experience in software development, ML design, ML infrastructure, and leading technical projects, with a focus on training ML models at scale. | DataServe | 9 |
| Staff Software Engineer, Generative AI, Core ML Staff Software Engineer role focused on architecting and implementing Agentic Reinforcement Learning systems. This involves developing novel RL recipes, reward modeling, and synthetic data for reasoning, planning, and tool use in large-scale AI products. The role bridges frontier research with production, focusing on the "GenAI Engineering Gap" to create self-improving agentic systems. | AgentPost-train | 9 |
| Staff Software Developer, Generative AI, Applied AI, Research Staff Software Developer role focused on developing and deploying agentic AI solutions for enterprise use cases. The role involves inventing, designing, and deploying systems with a focus on algorithmic innovations for sophisticated agentic AI, including multi-agent systems, reinforcement learning, multimodal reasoning, and enhancing LLM reliability and tool use. The position also involves managing and iterating on new platform capabilities and driving technical strategy for a conversational AI platform. | AgentPost-train | 9 |
| Staff AI Research Scientist, Applied AI, Google Cloud Research Scientist role focused on designing, developing, and deploying agentic AI solutions for enterprise use cases within Google Cloud's Applied AI team. The role involves applying AI/ML to conversational problems, working with Gemini Enterprise products, and contributing to the wider research community through publications. Responsibilities include owning AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation. | AgentPost-train | 9 |
| Staff Software Engineer, AI/ML Performance Staff Software Engineer focused on optimizing AI/ML training and serving workloads on TPUs. This role involves identifying performance bottlenecks, driving optimizations through custom kernels, compiler/runtime improvements, and collaborating with partner teams to achieve state-of-the-art performance for foundation model builders and hyperscalers. The position also involves algorithmic innovation and co-designing TPU-friendly models. | ServePost-train | 9 |
| Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI Senior Software Engineering Manager for Google Cloud AI, focusing on GenAI. This role involves leading teams of engineers, setting technical vision and roadmap, overseeing system designs, and driving the strategy for large-scale ML infrastructure optimization and state-of-the-art GenAI solutions. The team addresses AI challenges for various industries, aiming to push AI's state-of-the-art and collaborate with product teams. | ShipServe | 9 |
| Senior Research Scientist, Google Cloud AI Research Research Scientist role focused on fundamental AI research, developing new products, and contributing to the research community. The role involves defining research strategies, designing experiments, and publishing findings, with a focus on machine learning and deep learning. | Pretrain | 9 |
| Staff Research Scientist, Google Ads GenAI Research Scientist role focused on adapting Gemini models for Google Ads using prompt engineering, fine-tuning, and reinforcement learning. The role involves developing novel ML modeling techniques, working with LLMs for targeting and retrieval, collaborating with DeepMind and Search teams, and publishing research findings. | Post-trainAgent | 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, acting as a product catalyst, and driving regional leadership. Requires 8 years of experience shipping production-grade AI-driven solutions, Python, and cloud AI architecture. | AgentServe | 9 |
| Forward Deployed Engineer II, GenAI, Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. The role involves coding, debugging, and co-building with customer teams, acting as a feedback loop to product roadmaps. | AgentServe | 9 |
| Senior Staff Software Engineer, AI/ML GenAI, Google Cloud Applications AI Senior Staff Software Engineer role focused on GenAI solutions within Google Cloud Applications AI. The role involves designing, developing, and deploying large-scale AI/ML solutions, leading technical strategy, and overseeing the implementation of state-of-the-art GenAI, with a focus on bringing AI innovations to various industries. | ShipServe | 9 |
| Staff Research Scientist, Google Cloud AI Research Staff Research Scientist at Google Cloud AI Research focusing on fundamental AI research, pushing the state-of-the-art, and collaborating with product teams to bring innovations to market. The role involves authoring research papers, defining research strategies, and contributing to the wider research community. | Pretrain | 9 |
| Senior Staff Software Engineer, AI/ML GenAI, Google Cloud AI Senior Staff Software Engineer role at Google Cloud AI Research focusing on designing, developing, and deploying state-of-the-art GenAI solutions for various industries. The role involves technical leadership, ML infrastructure optimization, and driving technical project strategy for high-impact projects, with a focus on shipping AI products to customers. | ShipServe | 9 |
| 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 |
| Senior Developer Relations Engineer, AI Foundation and Security This role focuses on building and demonstrating production-grade AI applications and agentic workflows, integrating AI into secure product workflows, and showcasing deployment at scale. The role also involves creating engaging content and demos to drive developer adoption of Google Cloud and Google AI. The primary focus is on enabling developers to build secure AI workloads in production. | AgentServe | 8 |
| Senior Software Engineer, Gen AI GCP Data Analytics Senior Software Engineer role focused on building data agents for Google Cloud's Gen AI Data Analytics platform. The role involves enriching customer knowledge, automating data preparation, and providing agent harnesses, leveraging BigQuery and GenAI techniques like LLMs and Agents. Requires strong software development experience, including large-scale infrastructure and GenAI concepts. | Agent | 8 |
