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, with 1186 new openings in the last 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 |
|---|---|---|
| Staff Software Engineer, AI/ML, Contextual Suggest Staff Software Engineer at Google working on AI/ML for Contextual Suggest, focusing on recommendation systems, ML infrastructure, and integrating AI breakthroughs into user-facing features and backend systems for Google Search. The role involves technical leadership, design, implementation, and deployment of models in production. | ShipServe | 7 |
| Tech Lead, Google Kubernetes Engine AI Platform Tech Lead for Google Kubernetes Engine (GKE) AI Platform, focusing on managing containerized AI/ML workloads on GPU/TPU infrastructure using Kubernetes. The role involves driving innovation in reliability, efficiency, and scale of AI infrastructure, engaging with customers, and leading technical direction for ML workload efficiency and optimization. |
| Serve |
| 7 |
| Software Engineer, Machine Learning, Payments Software Engineer, Machine Learning, Payments role at Google Singapore. Focuses on developing and deploying ML models for the Payments team, ensuring services and data are available and reliable. Requires experience in software development and ML infrastructure. | ShipServe | 7 |
| Software Engineer, AI/ML, Chronicle Security Software Engineer role focused on building AI/ML solutions for Google's Chronicle Security product, involving AI agents, LLM applications, ML infrastructure, model optimization, and large-scale data processing within a security context. | AgentData | 7 |
| Software Engineering Manager, Content Safety, Infra Software Engineering Manager for Content Safety, focusing on ML infrastructure and AI-based techniques to protect users from harmful content. The role involves managing engineers, setting team priorities, developing technical roadmaps, and overseeing the deployment of large-scale projects. Requires significant experience in ML infrastructure, model deployment, evaluation, data processing, and fine-tuning, with a strong emphasis on people management and technical leadership. | ServePost-train | 7 |
| Technical Program Manager III, Agentic Automation, Platforms and Devices Technical Program Manager III role focused on Agentic Automation within Google's Platforms and Devices team. The role involves leading cross-functional program execution, defining milestones, creating automated processes using AI/ML tools, and managing risks and dependencies for projects in the Agentic Automation pillar. Requires experience with Generative AI, LLMs, and ML. | Agent | 7 |
| Image Processing Engineer Image Processing Engineer role focused on optimizing image quality across hardware and software stacks, fine-tuning 3A algorithms, and building ML automation tools for image quality tuning, testing, benchmarking, and calibration workflows. Requires experience in image quality or computer vision and proficiency in Python and C++. | Data | 7 |
| Technical Program Manager, Generative AI Safety Technical Program Manager for Generative AI Safety at Google, focusing on leading initiatives to expand content safety infrastructure, integrate safety classifiers, and build rapid response capabilities for AI abuse. The role involves partnering with cross-functional leaders to convert threat intelligence into scalable models and technical protections within the serving stack, orchestrating safety engineering teams, and managing global workflows for timely integration and evaluation of safety models for Gemini releases. This role also coordinates with infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models. | Eval GatePost-train | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role involves managing complex, multi-disciplinary machine learning technology programs from start to finish, working with cross-functional teams to define requirements, identify risks, manage schedules, and communicate progress. The focus is on driving innovation in ML technologies that enable Google's products to understand users, contributing to AI and Infrastructure at scale. | Ship | 7 |
| Practice Customer Engineer II, Cloud AI, Manufacturing and Conglomerate Customer Engineer specializing in AI for manufacturing and conglomerate industries, focusing on accelerating adoption of complex AI workloads, developing prototypes, and providing technical expertise to customers. The role involves integrating AI models with enterprise data using RAG and agent patterns, coding in Python/JS/Go/Java, and providing feedback to product development. | Agent | 7 |
| Senior Software Engineer, Vision, Camera and Imaging, XR Senior Software Engineer role focused on developing full-stack vision, camera, and imaging solutions for XR devices, integrating AI and XR technologies to create augmented human intelligence experiences. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing new technologies, and collaborating across multiple teams including Google Research. | ShipAgent | 7 |
| Senior Software Engineer, Infrastructure, CoreOS Agentic Engineering This role focuses on applying AI strategies to optimize Google's compute infrastructure, specifically within the CoreOS and Agentic Engineering teams. The engineer will build tools for kernel quality insights, manage the rollout of fixes, and contribute to the AI revolution in testing, releasing, and supporting the CoreOS. The role involves a mix of exploration, engineering, and productionization, aiming to develop critical services powered by AI. | Serve | 7 |
| Practice Customer Engineer, Artificial Intelligence, Google Cloud Customer Engineer specializing in Gemini enterprise, focusing on integrating Generative AI into enterprise environments by architecting secure, data-connected solutions using agents and patterns like RAG. The role involves technical consultation, solution architecture, and driving adoption of Google Cloud AI. | Agent | 7 |
| Photos Mission Tech Lead, Applied AI, Full Stack Google Photos is seeking a Mission Tech Lead for Applied AI, focusing on Generative AI product features. This role involves defining long-term engineering goals, technical strategy, and architectural roadmaps, with a strong emphasis on prototyping and validating zero-to-one Generative AI concepts. The position requires extensive full-stack development experience, including back-end (Java, Python, GO, C++) and front-end (JavaScript, TypeScript), as well as experience with Generative AI Agents. | Agent | 7 |
| Senior Technical Solutions Consultant Senior Technical Solutions Consultant responsible for the technical relationship of Google's largest advertising clients and/or product partners. This role will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. The role will lead the end-to-end architecture and implementation of a Digital Twin ecosystem for Google’s consumer hardware product design and manufacturing, integrating Vertex AI/Gemini Enterprise to pioneer autonomous agents that drive agentic insights and action automations. | AgentServe | 7 |
| Senior Customer Engineer, AI Infrastructure, Google Cloud Senior Customer Engineer focused on AI infrastructure, specifically Google Cloud TPUs, for enterprise clients. This role involves designing, deploying, and optimizing AI training and inferencing solutions, advising on ML operations, and supporting sales teams by solving technical challenges related to AI hardware and software stacks. | ServePost-train | 7 |
| Senior Software Engineering Manager, Dataproc, Google Cloud Senior Software Engineering Manager for Google Cloud Dataproc, responsible for leading a team to build an AI-ready data platform with GPU support, specialized runtimes, and integration with Vertex AI. The role involves architecting lakehouse solutions, optimizing open-source stacks, and directing the integration of AI/ML workloads for enterprise customers. | ServeData | 7 |
| Software Engineer, Google Ads, Actor Safety ML Infrastructure Software Engineer role focused on building ML infrastructure for Google Ads, specifically for actor safety. Requires experience in software development (Python, C++, SQL) and building large-scale infrastructure, distributed systems, or compute technologies. Experience with machine learning infrastructure is a minimum qualification. | Serve | 7 |
| Software Engineer, GPU Performance Software Engineer focused on optimizing GPU performance for Google's AI models and services. This role involves low-level GPU programming, performance engineering, and influencing the GPU software ecosystem and fleet deployment. | Serve | 7 |
| Software Engineer III, AI/ML, Search Intelligence Freshness Software Engineer III role focused on ensuring Google Search's AI features (AI Overview and AI Mode) are up-to-date by incorporating real-time news context and freshness signals. This involves implementing ML solutions, utilizing ML infrastructure, optimizing models, and processing data, with a focus on improving the timeliness and accuracy of AI-generated information. | Agent | 7 |
| Software Engineer III, Generative AI, Payments Risk Software Engineer III role focused on building AI-driven risk management solutions for Google Payments, leveraging Generative AI and Machine Learning to combat online payment fraud. Responsibilities include developing novel solutions, implementing GenAI and ML models, and contributing to data preparation and optimization within a regulated fintech environment. | AgentData | 7 |
| Software Engineering Manager, GPU AI Infrastructure Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products. | Serve | 7 |
| Software Engineering Manager, Acceleration Platform Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration. | Agent | 7 |
| Senior Software Engineer, TPU, AI Infrastructure Senior Software Engineer role focused on developing firmware and low-level software for Google's custom AI accelerators (TPUs). The role involves designing, building, and debugging hardware-software interfaces, firmware, simulators, and telemetry systems for ASICs, working closely with chip design and ML infrastructure teams to enable large-scale AI model deployment and operation. | Serve | 7 |
| Software Engineering Manager, Emergent AI infrastructure Team Software Engineering Manager for an Emergent AI infrastructure team focused on building next-generation on-premises AI infrastructure, integrating hardware to software design, workload management, and large-scale AI clusters. The role involves technical leadership, people management, and overseeing the deployment of large-scale projects. | Serve | 7 |
| Senior Staff Software Engineer, AI Innovation Senior Staff Software Engineer role focused on AI Innovation, providing technical oversight, mentorship, and strategy for AI and Infrastructure teams at Google. The role involves integrating generative AI tools and LLM interfaces into workflows, contributing to the development of AI models and platforms, and ensuring smooth project transitions. Requires strong programming, design, and architecture experience, with a focus on technical leadership and execution. | Agent | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, Google Ads Software Engineer III at Google Ads focused on building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product or system development code, collaborating with peers, triaging issues, and debugging. Minimum qualifications include a Bachelor's degree, programming experience in Python or C++, and experience building/deploying recommendation systems models and ML infrastructure in production. | ShipData | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, including multi-agent workflows and RAG systems. Responsibilities include developing deployment plans, providing technical leadership, and accelerating customer time-to-value. | Agent | 7 |
| Senior Software Engineer AI/ML, Content Safety Applications Senior Software Engineer focused on building and scaling AI/ML infrastructure for content safety applications, including classifiers and generative AI experiences. The role involves the full lifecycle from data acquisition to deployment and maintenance, with a focus on protecting users from harmful content. | ServeAgent | 7 |
| [T] Senior Software Engineer, AI/ML, Google Cloud Senior Software Engineer role focused on AI/ML within Google Cloud, involving the design and implementation of ML solutions, leveraging ML infrastructure, and specializing in areas like speech/audio, reinforcement learning, or ML infrastructure. Requires experience in programming, software development, and ML infrastructure aspects such as deployment, evaluation, optimization, and data processing. | ServeData | 7 |
| Software Engineer III, AI/ML, Google Play Software Engineer III role at Google Play focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure or a specialization in an ML field like speech/audio or reinforcement learning. | Serve | 7 |
| Principal Engineer, Messaging, Platforms and Devices Principal Engineer role focused on defining the architectural roadmap for the Google Messages platform and leading the internal AI transformation by integrating generative AI, autonomous coding agents, and automated workflows to accelerate developer velocity. This role involves technical leadership, mentoring, and evolving software development practices. | Agent | 7 |
| Staff Software Engineer, Agentic AI Staff Software Engineer role focused on developing Agentic AI experiences, leveraging LLMs and Reinforcement Learning, within Google's Core team. The role involves influencing and designing initiatives for Enterprise Knowledge Platform and Gemini Enterprise, collaborating with Deepmind. | Agent | 7 |
| Senior Software Engineer, AI/ML, Sensor Fusion, XR Senior Software Engineer role focused on developing and implementing machine learning models for real-time wear detection on consumer XR glasses. The role involves the full development lifecycle, from requirements to implementation, with a focus on power efficiency and accuracy on resource-constrained hardware. Collaboration with cross-functional teams is key. | Serve | 7 |
| Applied AI Staff Software Engineer, Looker Staff Software Engineer to lead the integration of AI and LLMs into the Looker data visualization and dashboarding platform, aiming to automate insights, enhance data storytelling, and build business intelligence experiences. | ShipAgent | 7 |
| Software Engineer, Generative AI Blackbelt, Google Cloud Platform Software Engineer role focused on Google Cloud's Generative AI offerings, supporting customers in leveraging AI and LLM APIs to build their own AI products. This involves understanding customer needs, providing AI expertise, recommending integration strategies, and supporting developers. | Ship | 7 |
| Technical Lead, Machine Learning, Google Play Technical Lead for Machine Learning in Google Play, focusing on improving AI features using Gemini prompts, computer vision, and experimental validation. The role involves designing and building infrastructure for AI response quality and collaborating with research teams. | AgentEval Gate | 7 |
| Staff Software Engineer, TPU Machine Learning Supercomputer Staff Software Engineer role focused on designing and developing system software for TPU Machine Learning Supercomputers, improving scalability and reliability of large-scale software across distributed hardware. The role involves working on various software layers, from host daemons to network routing, and developing analytics for managing ML systems. Experience with C++, Go, distributed systems, and ML applications is required. | Serve | 7 |
| Team Lead, Mobile App, Ads, Serving, AI Focused This role is for a Team Lead focused on Mobile App Ads, specifically within a Serving and AI-focused context at Google. The position involves writing and testing product/system development code, collaborating on design and code reviews, triaging and debugging issues, and designing/implementing solutions in specialized ML areas leveraging ML infrastructure. The role requires experience with software development, testing, maintenance, launch, design, and architecture, with a specific emphasis on ML infrastructure, speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Manager, Content Adversarial Red Team Manager for the Content Adversarial Red Team (CART) responsible for leading a team that conducts adversarial red teaming on Google's generative AI products to uncover loss patterns and ensure product safety. The role involves interfacing with stakeholders, reviewing analytic products, and leveraging AI augmentation for process improvement. | Eval Gate | 7 |
| Associate Principal Analyst, Content Adversarial Red Team This role focuses on identifying and mitigating emerging content safety risks within Google's Generative AI products. The analyst will develop strategies to uncover novel threats and vulnerabilities, partner with product and engineering teams to implement solutions, and shape internal programs for AI safety. The role involves adversarial testing and advocating for AI safety initiatives. | Eval Gate | 7 |
| Software Engineer III, Knowledge Catalog For AI Software Engineer III role focused on building the Knowledge Catalog, a foundational context engine for AI and AI agents. The role involves designing and implementing features for agentic workflows, catalog infrastructure, and metadata enrichment, with a focus on enabling AI agents to reason and act on enterprise data. Experience with applied AI/ML and GenAI technologies is required, along with software development and large-scale infrastructure experience. | Agent | 7 |
| Software Engineer, Generative AI, Search Ads Personalization Software Engineer role focused on Generative AI for Search Ads Personalization. Responsibilities include writing and testing code, building model and architectural components for ad personalization, and implementing GenAI solutions using ML infrastructure. Requires experience with recommendation systems, ML infrastructure, and core GenAI concepts. | ShipServe | 7 |
| Principal Engineer, Health (Search Vertical) Principal Engineer for Google Search's Health vertical, focusing on technical strategy, architecture, and product integration. The role involves driving core quality, factuality, and helpfulness of health information, with a strong emphasis on user trust, safety, and regulatory compliance. It requires deep expertise in ML/AI algorithms, distributed systems, and influencing cross-functional teams, including Google DeepMind. | Ship | 7 |
| XR Audio Face Tracking ML Software Engineer Software Engineer focused on developing and optimizing ML models for real-time facial motion tracking on low-power XR devices, working with multimodal inputs and production pipelines. | ServePost-train | 7 |
| Senior Software Engineering Manager, Flume ML Senior Software Engineering Manager for Google Cloud's Flume ML team, focusing on leading a team to enhance a data processing infrastructure product. The role involves advancing scheduleability and auto-tuning capabilities critical for ML pipelines and standard data workloads, bridging infrastructure and product needs, and potentially leading research into AI-driven optimization strategies. | ServeData | 7 |
| Applied ML and Backend Software Engineer Software Engineer at Google Ads focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing, with experience in agentic AI. | AgentData | 7 |
| Staff Software Engineer, Cloud ML Compute Services (Mandarin, English) Staff Software Engineer focused on optimizing AI/ML model performance on Google Cloud infrastructure, including training and inference workloads. The role involves partnering with customers, collaborating with internal teams, and developing training materials, with a strong emphasis on debugging and troubleshooting ML infrastructure. | ServePost-train | 7 |
| Senior Software Engineer, Head Tracking, Beam, AI/ML Senior Software Engineer for Google Beam, focusing on AI/ML for head tracking. The role involves defining and owning the end-to-end strategy and roadmap for evaluating head tracking performance and robustness. Responsibilities include leading the development of evaluation infrastructure, collaborating with algorithm teams for improvements, designing testing scenarios, and working with cross-functional partners. Requires experience in C++, Python, and building evaluation systems for real-time systems like 3D tracking, robotics, or AR/VR, with a preference for ML frameworks and model evaluation experience. | Eval GateAgent | 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team within Google's Ads product. The data scientist will identify trends, cluster feedback, predict customer behaviors, and ensure statistical rigor in reporting. The role involves designing, training, and deploying models, building predictive models, applying statistical methods, and communicating findings to leadership. | Post-trainAgent | 7 |
