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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Staff Tech Lead, YouTube Shorts Discovery Tech lead for AI/ML software engineers focused on YouTube Shorts discovery models, aiming to align recommendations with user interests. This involves building large-scale AI/ML systems using techniques like LLMs, generative retrieval, and long-sequence modeling for personalized retrieval and early-stage ranking. The role requires defining technical strategy, leading high-impact projects, and partnering with cross-functional teams. | AgentServe | 8 |
| Staff Software Engineering, YouTube ML Efficiency Staff Software Engineer focused on ML efficiency for YouTube's recommendation systems, working on optimizing models for next-gen TPUs, enabling new architectures and training procedures, and reducing complexity in the ML training and serving ecosystem through automation. | ServeData | 8 |
| Software Engineering Manager II, AI/ML GenAI, Google Cloud Software Engineering Manager II for Google Cloud's AI/ML GenAI team, focusing on leading teams to deliver AI and Infrastructure at scale. The role involves setting team priorities, developing technical vision and roadmaps, guiding system designs, and leading the design of GenAI solutions, optimizing ML infrastructure, and guiding data preparation and model optimization strategies. Requires significant experience in software development, ML infrastructure optimization, technical leadership, and GenAI techniques. | ServePost-train | 8 |
| Fullstack Software Engineer, GenAI, DeepMind Software Engineer role focused on building and testing AI agents within a robotics context, integrating hardware and software systems for agent evaluation and deployment on robots. | AgentServe | 8 |
| Software Engineer, AI Software Agents Software Engineer role focused on building and developing AI software agents, partnering with researchers and product teams to create emerging AI capabilities and technologies. The role involves understanding developer pain points, ideating, running experiments, and turning new ideas into finished products, with a strong emphasis on generative AI agents. | Agent | 8 |
| Staff Software Engineer, AI/ML, Google Public Sector Staff Software Engineer at Google Public Sector focused on architecting and deploying large-scale distributed data systems and advanced machine learning pipelines, optimizing inference workloads for specialized hardware accelerators, and leading technical direction for complex production software systems. The role involves managing petabyte-scale data ingestion, optimizing numerical operations, and implementing data life-cycle policies. | ServeAgent | 8 |
| Senior Staff Software Engineer, AI/ML, Security Senior Staff Software Engineer focused on AI/ML Security for Google Cloud, specifically on securing LLMs against threats like prompt injection and data exfiltration. The role involves defining technical strategy, designing and implementing scalable systems, influencing security roadmaps across Google, and resolving technical disagreements. It requires experience in ML infrastructure, AI model security, and delivering enterprise-grade security products. | AgentEval Gate | 8 |