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 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 Engineer, Content Safety, Infrastructure Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization. | 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 |
| Forward Deployed Engineer V, GenAI, Google Cloud Forward Deployed Engineer for GenAI on Google Cloud, focusing on building and deploying agentic AI solutions within customer environments. This role involves coding, debugging, and shipping bespoke agentic workflows, bridging the gap between AI products and enterprise infrastructure, and providing feedback to product roadmaps. | AgentServe | 8 |
| Senior Software Engineer, AI/ML, AI Garage Senior Software Engineer, AI/ML role focused on leading the design, development, and deployment of AI-powered solutions for HR processes within Google's global workforce. The role involves technical leadership, architecting scalable AI/ML systems, driving algorithm development, owning the MLOps lifecycle, and collaborating with cross-functional partners to translate business needs into AI-driven roadmaps. | Serve | 8 |
| Gameplay Programmer, Games, Inception, DeepMind Gameplay Programmer and Prototyper role focused on building interactive experiences that integrate generative models and agentic workflows as core game mechanics. The role involves creating 0-to-1 prototypes, building tools for designers and researchers, integrating streaming models into game environments, and solving technical bottlenecks in early-stage projects. Requires experience in game tech R&D, AI/ML, and architecting new systems. | 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 |
| Senior Staff Tech Lead, YouTube Shorts Quality Senior Staff Tech Lead for YouTube Shorts Quality, focusing on optimizing the feed and user satisfaction through large-scale recommendation systems. This role involves defining technical strategies, leading teams in designing and deploying recommendation models, and partnering with cross-functional teams to drive growth in the Shorts ecosystem. | ShipServe | 8 |
| Staff Software Engineer, AI Engines 3P TPU Inference Staff Software Engineer focused on AI Engines 3P TPU Inference, working on ML infrastructure, compilers, and runtimes for Google's AI models. The role involves developing and optimizing ML software infrastructure, partnering with research, and ensuring high performance and scalability for inference. | Serve | 8 |
| Senior Staff Software Engineer, Google Product Studio Senior Staff Software Engineer to lead design and development of AI-powered content creative generative experiences for small and medium businesses, leveraging multimodal AI (image, text, video) to democratize marketing. | ShipPost-train | 8 |
| Staff Software Engineer, AI/ML, Google Cloud AI Staff Software Engineer at Google Cloud AI, focusing on developing and deploying large-scale AI/ML solutions for customer experience applications powered by Gemini Enterprise. The role involves technical leadership, optimizing ML infrastructure, and guiding model optimization and data processing strategies. | ServeData | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish) Forward Deployed Engineer III for Google Cloud, focusing on building and deploying production-grade generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Requires strong software development skills, experience with AI systems on cloud platforms, RAG, and vector databases. | AgentServe | 8 |
| Forward Deployed Engineer IV, Applied AI, Google Cloud Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions, owning the end-to-end engineering lifecycle for customers' critical AI initiatives. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and co-building with customer engineering teams to instill best practices. The role requires experience with software development, ML operations, cloud infrastructure, and deploying resources via tools like Terraform. | AgentServe | 8 |
| AI/ML Infrastructure Software Engineer Software Engineer focused on building and maintaining the AI Flow Platform, a production service used by thousands of Googlers for various ML tasks including generative AI. The role involves developing end-to-end ML/AI features, incorporating prompt optimization, fine-tuning, and ML best practices into product development, and contributing to the platform's future direction. | ServePost-train | 8 |
| Applied AI and ML Engineer II This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within the finance domain. The engineer will build and scale AI agents, design system architectures for reliability and auditability, and implement evaluation frameworks and guardrails. The role requires experience in classical ML and LLMs, full-stack development, and working in regulated environments. | AgentServe | 8 |
| Forward Deployed Developer III, Generative AI, Google Cloud (English, Portuguese) This role involves acting as an embedded builder for Google Cloud, developing and deploying bespoke agentic AI solutions within customer environments. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, and vector databases, with a focus on transitioning AI from prototypes to production-grade agentic workflows. | AgentServe | 8 |
| Applied AI and ML Engineer This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within Google's finance organization. The engineer will build and scale AI agents, design system architectures prioritizing reliability and auditability, and implement evaluation frameworks and guardrails. The role involves translating finance problems into technical specifications and partnering with stakeholders to drive AI-native workflows and efficiency. | AgentServe | 8 |
| Forward Deployed Engineer III, Google Cloud, Applied AI The Forward Deployed Engineer III role focuses on transforming conversational AI prototypes into production-ready solutions for enterprise customers on Google Cloud. This role involves end-to-end engineering, including architecting agentic workflows, building evaluation pipelines, and ensuring scalability and security. It requires strong software engineering, MLOps, and cloud infrastructure skills, with a focus on customer success and leveraging Google's AI portfolio. | AgentServe | 8 |
| Staff Software Engineer, Generative AI, Core Machine Learning Staff Software Engineer focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure, including Knowledge Store libraries and self-reflection modules, to improve the quality, reliability, and efficiency of AI agents. Key responsibilities include extracting deterministic logic from prompts into code-based workflows, scaling automated prompt optimization, and implementing code-level safety enforcements. | Agent | 8 |
| Staff Software Engineer, CoreOS Agentic Engineering Staff Software Engineer role focused on Agentic Engineering within Google's CoreOS. The role involves conceptualizing, developing, and productionizing AI-driven strategies to optimize Google's global compute performance and operating system. Responsibilities include designing and building large-scale software solutions, leading teams, and developing tools for monitoring and testing. | Agent | 8 |
| Staff Software Engineer, AI-Powered GRC Automation Staff Software Engineer to build an AI-powered platform for automating and scaling Governance, Risk, and Compliance (GRC) functions within Google Cloud and Technical Infrastructure. The role involves defining technical strategy, architecting scalable solutions, and leading the development of AI/ML models for continuous monitoring, privacy enforcement, audits, and risk reporting. Responsibilities include assessing data quality, building data pipelines, and understanding control objectives for AI-enhanced monitoring. | AgentData | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud AI Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud AI. The role involves leveraging ML infrastructure, evaluating different techniques, and working with state-of-the-art GenAI concepts like LLMs and Multi-Modal models. Requires strong programming skills (Python/C++) and experience with ML infrastructure and software development. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Google Cloud Manager for a Forward Deployed Engineering team focused on deploying bespoke generative AI and agentic solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. | Agent | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Compute Software Engineer III role focused on implementing GenAI solutions within Google Cloud Compute, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts like LLMs, Multi-Modal, and Large Vision Models, and generation across text, image, video, or audio. | ServePost-train | 8 |
| Software Engineer, Agentic AI Systems, Cloud Security Software Engineer role focused on building next-generation agentic AI systems for Google Cloud Security, aiming to protect major organizations worldwide by developing foundational AI platforms and scaling security agents. | Agent | 8 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with applied AI, pre-trained models, RAG, and cloud platforms, with a focus on enterprise-grade AI maturity. | AgentEval Gate | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud (Japanese, English) Forward Deployed Engineer for GenAI on Google Cloud, focusing on integrating frontier AI products into customer production environments. Responsibilities include managing integration and data readiness issues, deploying AI systems, building evaluation pipelines, and acting as a feedback loop to product teams. Requires experience with Python, ML packages, applied AI (prompt engineering, fine-tuning, RAG, orchestration), and cloud platforms. Fluency in Japanese and English is necessary. | AgentServe | 8 |
| Software Engineer, Acceleration Platform Software Engineer on the Acceleration Platform team in Singapore, responsible for designing and implementing AI-native agentic systems to eliminate developer toil. The role involves leading zero-to-one technical initiatives, building scalable frameworks for self-sustaining AI at an enterprise scale, and mentoring junior peers. Responsibilities include designing systems where AI agents reason and execute workflows, blending traditional software development with prompt engineering and RAG, creating evaluation pipelines for AI performance, and troubleshooting non-deterministic AI behaviors. | Agent | 8 |
| Software Engineering Manager II, AI/ML GenAI, Google Cloud AI Software Engineering Manager II for Google Cloud AI GenAI team, focusing on leading engineering teams, setting technical vision, and guiding the design and optimization of GenAI solutions, ML infrastructure, and data preparation strategies. The role involves people management, technical leadership, and contributing to product strategy within the AI Research team that aims to push state-of-the-art AI and collaborate with product teams. | ServePost-train | 8 |
| Staff Applied AI Agent Developer Staff Applied AI Agent Developer role focused on applying Generative AI (Gemini Enterprise) to solve real-world challenges for strategic customers. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing technical guidance to customers. The role also involves creating reusable tools, building documentation, and influencing product strategy based on field insights. | Agent | 8 |
| Staff Software Engineer, AI/ML, Google Cloud Staff Software Engineer on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. Responsibilities include designing, developing, and maintaining large-scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design optimization. | ServePost-train | 8 |
| Senior Staff Software Engineer, AI/ML GenAI, Google Ads Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale GenAI solutions within Google Ads. This role involves technical leadership, ML infrastructure optimization, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models. | ShipServe | 8 |
| Staff Software Engineer, AI/ML GenAI, Google Workspace Staff Software Engineer at Google working on GenAI for Google Workspace products. The role involves designing, developing, and deploying large-scale AI/ML solutions, optimizing ML infrastructure, and guiding data preparation and model optimization. It requires technical leadership and experience with state-of-the-art GenAI techniques, impacting billions of users. | ShipServe | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Workspace Senior Software Engineer to design and implement GenAI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. The role involves writing and testing product code, collaborating with stakeholders, and evaluating tradeoffs between different techniques. | Ship | 8 |
| Software Engineer, AI/ML, PhD, Early Career Software Engineer role focused on scaling data optimization techniques to improve ML model performance and quality, working with Research teams and ML practitioners to build and iterate on engineering tools and processing pipelines. The role emphasizes the data-centric nature of AI in the Gemini era and improving model quality through data optimization. | Data | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud Compute Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud Compute, leveraging ML infrastructure and evaluating different techniques. Requires strong programming skills, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques. | ServePost-train | 8 |
| Software Engineer, GKE, PhD, Early Careers Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI. | AgentServe | 8 |
| Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start Google is seeking PhD graduates for Software Engineer roles focused on AI/Machine Learning. The role involves developing and deploying advanced ML systems across the full stack, from hardware acceleration to production APIs, and transforming research expertise into scalable products. The position requires experience in ML/AI and coding, with a preference for large-scale distributed environments and deep learning frameworks. | Post-trainServe | 8 |
| Senior Security Engineer, Uppercase Research This role focuses on building and scaling autonomous security operations using AI agents and LLM-driven pipelines. The engineer will design and deploy intelligent agentic workflows for threat hunting and automated detection, transforming static security workflows into self-correcting, LLM-driven pipelines that automate the detection lifecycle. The role involves deep-dive technical analysis of adversary behavior to train ML models and ground agentic workflows, and creating tooling to support automated security operations. | Agent | 7 |
| Customer Engineer, AI Infrastructure, Google Cloud Customer Engineer focused on deploying and optimizing AI infrastructure (TPUs/GPUs) for customers on Google Cloud Platform, supporting AI training and inference solutions. This role involves deep technical expertise in AI hardware, distributed systems, and performance tuning for large-scale AI workloads. | ServePost-train | 7 |
| Senior Software Engineer, AI/ML Infrastructure, Ads Senior Software Engineer role focused on AI/ML Infrastructure for Google Ads. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and demonstrating expertise in fields like speech/audio or reinforcement learning. Key responsibilities include writing and testing code, collaborating on design and code reviews, triaging issues, and debugging. Minimum qualifications require significant experience in software development, testing, and ML infrastructure, including areas like model deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Software Engineer III, Perception, XR Software Engineer III, Perception, XR at Google, focusing on on-device deep learning for audio enhancement and speech understanding in smart wearable glasses. The role involves developing and evaluating speech enhancement algorithms, experimenting with ML modeling, and acquiring data for training models. | Post-trainData | 7 |
| Team Lead, Mobile App, Ads, Serving, AI Focused Team Lead for a Mobile App Ads platform, focused on AI and ML. Responsibilities include writing and testing code, collaborating with stakeholders, triaging issues, and designing/implementing ML solutions using ML infrastructure. Requires experience in software development, ML infrastructure, and specialization in areas like Speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Software Engineer III, AI/ML, Chrome Autofill Software Engineer III at Google, working on AI/ML for Chrome Autofill. The role involves developing and launching models and infrastructure for AI experiences, with a focus on agentic systems that drive web interactions. Responsibilities include model development, design reviews, collaboration with product managers, and implementing models within an agentic system for high-quality web site actuation. Requires experience in software development, ML infrastructure, and familiarity with agentic workflows and LLMs. | AgentServe | 7 |
