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 |
|---|---|---|
| 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 Software Engineer, Generative AI, LearnX Senior Software Engineer focused on Generative AI for learning products within Google Search and Lens. Responsibilities include developing AI features, fine-tuning models, optimizing prompts, evaluating performance, and launching AI-driven features. Requires experience in AI/ML engineering, software development, and technical leadership. | Post-trainAgent | 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 |
| Forward Deployed Engineer II, GenAI, (Bahasa Indonesia) Google Cloud is seeking a Generative AI (GenAI) Forward Deployed Engineer (FDE) II to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing production blockers, and providing feedback to product teams. The FDE will also build evaluation pipelines and observability frameworks, and translate technical concepts to non-technical audiences, requiring fluency in Bahasa Indonesia. | AgentEval Gate | 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 |
| Software Engineer, Generative AI, Maps Software Engineer role focused on implementing Generative AI solutions within Google's Geo (Maps) products. The role involves writing product/system code, collaborating with peers, triaging issues, and utilizing ML infrastructure for data preparation, optimization, and performance enhancements. Requires experience with state-of-the-art GenAI techniques like LLMs, Multi-Modal, and Large Vision Models, as well as ML infrastructure and computational geometry. | Ship | 8 |
| Staff AI/ML Software Engineer, YouTube Ads Creative Foundational Infrastructure Staff AI/ML Software Engineer for YouTube Ads Creative Foundational Infrastructure. This role involves architecting, scaling, and steering next-generation infrastructure for AI/ML applications, specifically focusing on creative generation and optimization. Responsibilities include defining the technical roadmap, designing distributed systems for GenAI and media processing, building experiment and learning infrastructure, and partnering with various teams to align infrastructure with business goals. | ServeAgent | 8 |
| Software Engineer, Content Safety Team Software Engineer on the Content Safety Team at Google, focusing on building and scaling systems to protect users and products from harmful content. This involves working with classifiers, vector databases, multimodal models, and agentic workflows, as well as model training and evaluation pipelines. The role requires experience with production-grade distributed systems and ML concepts, with a focus on responsible AI principles and ensuring the safety of Generative AI experiences. | AgentData | 8 |
| Senior Software Engineer, Google Cloud Generative AI Blackbelt Team Senior Software Engineer on the Google Cloud Generative AI Blackbelt Team, focusing on applying Generative AI and LLMs to enterprise solutions. The role involves developing, testing, deploying, and maintaining software solutions, with a strong emphasis on customer-facing applications and potentially building end-to-end architectures using agentic or Generative AI capabilities. Experience with AI Agents and responsible AI principles is preferred. | Agent | 8 |
| Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind Lead Software Engineer focused on quality and engineering productivity for robotics AI, responsible for scaling software releases, AI model validation, testing environments, and system reliability to accelerate AGI development in the physical world. | ShipEval Gate | 8 |
| Senior Software Engineer, AI/ML, Google Workspace Senior Software Engineer to deliver and develop machine learning technologies for Google Workspace products (Gmail, Chat, Calendar). This role involves collaborating with researchers and product managers to build AI-powered productivity tools, focusing on generative AI agents and LLM applications, with a direct impact on billions of users. | ShipPost-train | 8 |
| Senior Design and Integration Engineer, Cloud TPU The role focuses on the design, integration, and verification of Google's next-generation Tensor Processing Units (TPUs), which are custom-built accelerators for AI and machine learning workloads. The engineer will work on microarchitecture, digital logic design, and optimization for performance, power, and area, collaborating with cross-functional teams to deliver cutting-edge hardware for AI/ML applications. | Serve | 8 |
| Software Engineer III, 3D Modelling, XR Google is seeking a Machine Learning Engineer with a focus on 3D geometry to work on the convergence of AI and XR. The role involves managing the end-to-end training process for ML models, optimizing them for various environments, and ensuring data quality and robustness. The engineer will adapt research in monocular depth modeling for real-world scenarios, bridging the gap between research and product requirements. | Post-trainServe | 8 |
| Senior Security Engineer, AI/ML, National Security, Public Sector Senior Security Engineer focused on securing AI/ML infrastructure, particularly LLM deployments, for Google Public Sector. Responsibilities include architecting secure deployments, protecting model weights and data, mitigating AI-specific threats, and developing automated defenses. Requires experience with AI/ML development, infrastructure, containerization, and Python, along with a Top Secret/SCI security clearance. | ServeAgent | 8 |
| Product Manager, Math Agents, DeepMind (Fixed Term Contract) Product Manager for AI math agents at Google DeepMind, focusing on defining product strategy, requirements, and execution for agentic systems that bridge frontier research in automated reasoning with real-world mathematical problems. The role involves leading development and deployment, incubating new agentic capabilities, and collaborating with researchers and mathematicians. | Agent | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud, leveraging ML infrastructure and evaluating different techniques. Requires experience in Python/C++, ML infrastructure, software design, and state-of-the-art GenAI techniques. | ServePost-train | 8 |
| Senior Software Engineering Manager, AI/ML Recommendations, Rankings, Predictions, YouTube Senior Software Engineering Manager for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves setting team priorities, developing technical vision and roadmaps, overseeing system designs, and driving technical project strategy, including large-scale ML infrastructure optimization and the design/implementation of advanced recommendation systems. Requires significant experience in software development, technical leadership, people management, and building/deploying recommendation systems models in production. | ShipServe | 8 |
| Senior Staff Software Engineer, AI/ML, Google Cloud Senior Staff Software Engineer on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and driving ML infrastructure optimization across multiple ML areas. Requires extensive experience in ML infrastructure, design, architecture, and specific ML fields like speech/audio or reinforcement learning. | ServePost-train | 8 |
| Research Engineer, Ads AI Research Engineer role focused on designing and implementing AI innovations for Google's Search Ads products, operating at the intersection of AI research and large-scale product application. Requires experience with ML infrastructure and generative AI techniques. | ShipPost-train | 8 |
| Forward Deployed Engineering Manager, GenAI, Delta, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions in customer environments, providing technical mentorship and resolving production-level obstacles related to data, integration, and state management to achieve enterprise-grade maturity. | Agent | 8 |
| Staff Software Engineer, AI/ML, XR Staff Software Engineer focused on building AI-powered interactions for next-generation XR devices, integrating Gemini's multimodal capabilities to create personalized and contextually aware experiences. The role involves innovating and architecting multimodal solutions, collaborating cross-functionally, and developing technologies for intelligent eyewear and VR headsets. | Agent | 8 |
| Staff Datacloud Blackbelt Engineer, Data and AI Staff Blackbelt Engineer focused on building, deploying, and optimizing sophisticated Data and AI agents and solutions for enterprise customers using Google's AI technologies. The role involves architecting solutions, optimizing performance, and codifying reusable assets for broader adoption, bridging platform primitives with customer needs. | AgentServe | 8 |
| Senior Software Engineer, Map Ads, Machine Learning Senior Software Engineer role focused on building next-generation modeling and quality infrastructure for queryless ad formats using advanced AI techniques like LLM-based distillation and differential modeling. The role involves leading technical roadmaps across retrieval, auction, and measurement, and developing evaluation frameworks. It requires experience with ML infrastructure, programming, and machine learning fields such as reinforcement learning, recommendations/ranking, or LLMs. | AgentPost-train | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to build next-generation GenAI features. Responsibilities include prototyping GenAI solutions, curating datasets, building ML pipelines for generative media and multimodal understanding, developing product code, and performing comprehensive testing. Requires experience in developing ML models with Tensorflow/PyTorch/JAX and applying ML/statistics/diffusion model theory. | Post-trainData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. Requires experience in ML, software development, data structures, algorithms, and ML infrastructure management. | Post-trainData | 8 |
| Staff Software Engineer Staff Software Engineer at Google DeepMind focused on building tools and best practices for AI research iteration, architecting data pipelines for training and evaluation, and developing evaluation benchmarks. The role involves collaborating with researchers to ship product features and providing technical leadership, with a strong emphasis on system design, scalability, and maintainability. | AgentEval Gate | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. Requires experience in training generative AI models, developing ML models with frameworks like Tensorflow/PyTorch/JAX, ML infrastructure management, and software development. | Post-trainData | 8 |
| Staff Software Engineer Staff Software Engineer at Google DeepMind to design, develop, test, and deploy large-scale software solutions for a state-of-the-art personalized AI assistant. Responsibilities include architecting scalable data pipelines and user models for training and evaluation, developing evaluation benchmarks, and collaborating with research scientists to ship product features. Requires experience in ML models for speech/audio or RL for sequential decision making, data pipeline development, software design, and Python/C++ for ML. | ShipData | 8 |
| Software Engineer Software Engineer role at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing robust product code, designing and building infrastructure for next-gen AI features, and managing the full deployment lifecycle. | AgentData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact GenAI problems, including prototyping solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing robust product code, performing comprehensive testing, collaborating with peers, resolving system issues, creating documentation, and managing the full deployment lifecycle. | Post-trainData | 8 |
| Senior Product Manager, GenAI Media Safety Product Manager for GenAI Media Safety at YouTube, focusing on ensuring the safety of generative AI features for video, image, and audio. This involves defining safety principles, developing AI-powered systems for risk detection and response, and building a safety platform with associated metrics and evaluation protocols. The role requires extensive cross-functional collaboration with engineering, design, and marketing teams. | ShipEval Gate | 8 |
| Research Engineer, Benchmarking, Robotics, DeepMind Research Engineer focused on benchmarking foundation models for robotics. The role involves designing evaluation protocols, tooling, and frameworks to assess robot policies in both simulated and real-world environments. Key responsibilities include building infrastructure for large-scale evaluation, root-causing policy failures, establishing evaluation criteria for model releases, and innovating on hardware evaluation processes. The goal is to provide data-driven insights into technological readiness for robotics development. | Eval GateAgent | 8 |
| Software Engineer III, AI/ML GenAI, Google Ads Software Engineer III at Google Ads focused on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The role involves writing product or system development code, collaborating with peers, triaging issues, and debugging. Requires experience with core GenAI concepts like LLMs and Large Vision Models, and experience with text, image, video, or audio generation, along with ML infrastructure and programming in Python or C++. | ShipServe | 8 |
| Agentic Software Engineer, Android and Chrome Security Software Engineer focused on building AI Agentic solutions to secure the supply chain for Android, Chrome, and ChromeOS. This involves developing AI-driven software and tooling to protect infrastructure, build pipelines, and third-party dependencies against compromised accounts and upstream threats. The role emphasizes designing and deploying multi-agent systems for security. | Agent | 8 |
| Staff Software Engineer, Agentic AI, Trust and Safety Staff Software Engineer role focused on architecting and scaling AI/ML systems and distributed infrastructure for Trust and Safety at Google. The role involves defining the technology roadmap, integrating high-availability systems, leading multi-team technical initiatives, and mentoring other engineers. Requires experience in large-scale distributed systems and building agentic AI systems. | AgentServe | 8 |
| Senior Software Engineer, AI/ML, Google Meet Senior Software Engineer focused on AI/ML for video quality optimization and understanding in Google Meet. Responsibilities include developing ML models for video enhancement, segmentation, and understanding, collaborating on best practices, and driving AI/ML development in the video domain to create tangible features for users. | Post-train | 8 |
| Software Engineer III, AI/ML, Gemini Integration/Customisation Software Engineer III role focused on integrating and customizing Google's Gemini AI model into XR products, requiring experience in generative AI, ML, and software development. The role involves collaborating with research teams to improve model performance for XR applications and developing expertise in the full deployment stack. | Agent | 8 |
| Customer Engineer IV, AI Infrastructure, Google Public Sector Customer Engineer role focused on accelerating AI initiatives for Google Public Sector clients by owning the technical relationship with ML research teams, guiding them through solution design, accelerator selection, and ramping AI workloads onto Google's AI infrastructure. The role involves advising on hardware (GPU/TPU), ML frameworks, and model building techniques, acting as a hybrid technical and business advisor. | ServePost-train | 8 |
| Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, resolving production obstacles, and collaborating with Product, Engineering, and Sales leadership. The role focuses on bridging the gap between frontier AI products and production-grade reality for enterprise customers. | 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 |
| 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 |
| 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 |