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 |
|---|---|---|
| Director, Data Science, Personalization, Gemini App, DeepMind Director of Data Science for Gemini App's Personalization team, focusing on creating personalized AI experiences. This role involves defining and leading a strategic shift in personalization measurement, influencing senior stakeholders, partnering with Engineering and Product, and mentoring a high-performing AI Data Science team. Experience in Generative AI model training/development and large-scale consumer product development is preferred. | ShipEval Gate | 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 III, Search AI Mode Software Engineer III, Search AI Mode at Google, focusing on making Google Search more helpful by answering questions based on user context using LLMs. The role involves implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements for contextual search. | Agent | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact GenAI problems, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. Responsibilities include developing robust product code, performing comprehensive testing, collaborating with peers, triaging and resolving complex system issues, and managing the full deployment lifecycle. | Post-trainData | 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 |
| 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. The role involves developing and testing robust product code, collaborating with peers, triaging issues, creating documentation, and managing the full deployment lifecycle. | 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 |
| 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 |
| Group Product Manager, 0-1 AI Products, Google Labs Google Labs is seeking a visionary Group Product Manager to lead the development of new, 0-1 AI products for consumers. This role involves identifying opportunities, prototyping ideas, navigating ambiguity, and achieving product-market fit. The ideal candidate has extensive experience in product management, a strong understanding of AI industry trends, and a track record of launching AI-native consumer products. | Ship | 8 |
| Director, Product Management, SecOps Responses, Google Cloud Security Product Management Director for SecOps Responses within Google Cloud Security, focusing on developing an AI-powered security platform. The role involves leading the vision for AI-driven remediation, transitioning from manual playbooks to autonomous response strategies using LLMs and Generative AI to synthesize incident data, generate remediation plans, and execute countermeasures. The goal is to build intelligent orchestration workflows that predict adversary actions and proactively deploy automated containment measures, driving SOC efficiency by automating routine tasks. | Agent | 8 |
| Director, Product Management, SecOps Detections, Google Cloud Security Director of Product Management for SecOps Detections at Google Cloud Security, focusing on building an AI-powered security platform. The role involves defining product vision, collaborating with AI researchers and engineers to develop dynamic detection models, designing GenAI-driven automated workflows for security analysts, and integrating ML capabilities into massive telemetry streams. The goal is to shift Security Operations Centers from reactive to proactive by leveraging AI to identify and anticipate complex security threats. | AgentData | 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 Software Engineer, Agentic AI Systems, Cloud Security Senior Software Engineer role focused on building agentic AI systems for Google Cloud Security. The role involves developing and launching next-generation agentic features, creating a foundational AI platform for security agents, and scaling products to defend enterprises. Requires experience in software development, ML infrastructure, and state-of-the-art GenAI techniques. | Agent | 8 |
| Software Engineer, ML Quality, Google Labs Software Engineer focused on ML Quality within Google Labs, incubating early-stage AI efforts. The role involves leading quality initiatives for agentic systems, optimizing prompts, building evaluation frameworks, implementing instrumentation, and translating data insights into product improvements. This is a 'zero-to-one' full-stack AI application development role. | AgentEval Gate | 8 |
| Senior Data Cloud Blackbelt Manager, Data and AI Senior Manager to lead a new team focused on incubating generative AI solutions for enterprise customers. The role involves architecting and deploying AI agents on Google's data cloud services, acting as a technical liaison with customer executives, and influencing product roadmaps based on customer needs and technical challenges. | Agent | 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 |
| Senior Research Software Engineer, Google Research Research Software Engineer at Google Research focused on developing and deploying vision models for Auto HD Mapping to improve autonomous driving capabilities. The role involves the full ML lifecycle from literature review and data collection to model training, tuning, evaluation, and deployment, leveraging existing Google models and technologies. | Post-train | 8 |
| RTL Design Engineer, Machine Learning Accelerators This role focuses on the RTL design of Machine Learning Accelerators (TPUs) for Google's AI/ML applications. The engineer will design and verify complex digital designs with a focus on TPU architecture and its integration within AI/ML-driven systems, contributing to custom silicon solutions. | 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 |
| Group Product Manager, Cloud AI, Agent Platforms and Deployment Product Manager for Google Cloud's Agent Platforms and Deployment, focusing on the strategy and real-world deployment of AI agents. This role bridges business requirements and technical architectures, working directly with customers to build solutions using Google's AI stack and scaling the Gemini Enterprise platform. Responsibilities include owning technical delivery, extracting signals for platform improvement, translating business needs to data representation, developing agent handholding frameworks and guardrails, and informing the core platform roadmap. | Agent | 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 |
| Senior Software Engineer, Generative AI Senior Software Engineer role focused on implementing and deploying Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, involving design, development, testing, and maintenance of AI solutions. | AgentServe | 8 |
| Senior Software Engineer, Recommendations, Rankings, Predictions, Search Discover Google is seeking a Senior Software Engineer to work on its AI-driven personalization and recommendation engine for Search and Discover. The role involves developing and testing new ranking algorithms and model features, analyzing experiment results, and designing/implementing recommendation systems models. The engineer will leverage ML infrastructure and contribute to architecture design, influencing what millions of users see daily. | ShipAgent | 8 |
| Senior Software Engineer, Generative AI, Google Ads Senior Software Engineer role focused on building Generative AI and agentic solutions for the Google Ads Ask Advisor platform. This role involves leveraging LLM orchestration, multimodal streaming, and Ads data signals to create autonomous AI capabilities for advertiser support. The work is high-visibility, involves collaboration with Google DeepMind, and aims to scale AI solutions directly to advertisers and the Google Ads Sales organization. | Agent | 8 |
| Group Product Manager, Maps Agentic Capabilities and Experiences Group Product Manager for Google Maps, focusing on driving the product strategy and roadmap for agentic AI capabilities and experiences. The role involves taking complex AI concepts from 0-to-1 launch, defining features that transform user interaction with the physical world through Maps, and building reliable agentic frameworks. Requires strong product management experience, AI fluency, and the ability to ship AI models or applications at scale. | Agent | 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 |
| Software Engineering Manager, Organizational Engineering, DeepMind Software Engineering Manager at DeepMind to lead the design and deployment of scalable full-stack solutions and AI-powered platforms for measuring the intelligence of AI agents. Responsibilities include creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. The role requires strong software engineering foundations and leadership experience. | AgentEval Gate | 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 |
| Software Engineering Manager II, Chrome AI Software Engineering Manager II for Chrome AI at Google, responsible for leading a team to integrate Generative AI (Gemini) into the Chrome browser to enhance quality and user experience. The role involves technical leadership, team management, defining roadmaps, and partnering with cross-functional teams to productionize AI systems at scale. | Ship | 8 |
| Senior Software Engineer, Gmail Abuse and Safety Protections Senior Software Engineer role focused on protecting Gmail users from abuse, particularly leveraging GenAI and ML techniques. The role involves assessing threats from new technologies like GenAI, designing safeguards, driving improvements through ML algorithms and systems, and building production-ready ML systems. It requires experience with ML infrastructure, GenAI techniques, and data analysis, with a focus on applied machine learning in user-facing products and safety/abuse fighting. | Post-trainServe | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Performance Software Engineer III role focused on implementing GenAI solutions within Google Cloud, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts and text, image, video, or audio generation. | Serve | 8 |