Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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.
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, YouTube Ads, Machine Learning Software Engineer role at Google YouTube Ads focusing on Machine Learning. Responsibilities include writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and implementing ML solutions. Requires experience with ML infrastructure, model optimization, data processing, and specific ML areas like speech/audio or reinforcement learning. | Serve | 7 |
| Senior Staff Software Architect, GPU Uber Tech Leads Senior Staff Software Architect role focused on the software stack above firmware for Google's AI and HPC infrastructure, specifically concerning distributed systems, Linux OS, networking, and power management for accelerator platforms like GPUs and TPUs. The role involves technical leadership, architecture definition, and driving large-scale technical programs from concept to deployment to enable massive-scale AI and Cloud services. | Serve |
| 7 |
| Customer Engineer, AI Infrastructure Modernization TPU, Google Cloud Customer Engineer for Google Cloud AI Infrastructure, focusing on TPU/GPU accelerators for training and inference. The role involves advising customers on AI infrastructure strategy, designing and implementing solutions, performance tuning, and MLOps integration. | ServePost-train | 7 |
| Senior AI/ML Software Engineer, YouTube Knowledge Senior AI/ML Software Engineer at Google, working on YouTube's knowledge systems. The role involves developing and deploying ML models, including LLMs and GenAI, to improve core YouTube products like Home, Search, and Recommendations. Responsibilities include writing and testing code, collaborating on design, debugging issues, and implementing ML solutions leveraging ML infrastructure. The role requires experience with software development, ML infrastructure, and potentially speech/audio or reinforcement learning. | Ship | 7 |
| Software Engineer III, YouTube Trust and Safety Software Engineer III at Google's YouTube Trust and Safety team, focusing on building classifiers and applying ML methods to improve automatic content detection and address trust and safety challenges. The role involves analyzing content understanding gaps, orchestrating signals from expert models, and productionizing ML solutions. | Post-trainServe | 7 |
| Compute Manager, Serving, DeepMind This role is responsible for coordinating the GenAI serving process and supporting compute needs for model training. The individual will work with teams on their requests, improve and automate workflows, and manage computational power for frontier model development. Key responsibilities include debugging infrastructure, advising on compute governance, identifying launch bottlenecks, and developing internal tooling to streamline processes. | ServePretrain | 7 |
| Technical Solutions Engineer, AI/ML Technical Solutions Engineer for Google Cloud AI/ML portfolio, focusing on customer-reported issues, deployment failures, and model performance degradation. Responsibilities include troubleshooting, debugging ML models (TensorFlow, PyTorch) in production environments (Kubernetes, Compute Engine), and ensuring production readiness of generative AI models. Requires Python coding, AI/ML concepts, and networking/system administration experience. | ServePost-train | 7 |
| Senior Software Developer, Machine Learning This role focuses on developing and innovating machine learning-based algorithms for video compression, aiming to improve efficiency and reduce complexity for both traditional and generative content. The role involves contributing to industry standards and developing novel algorithms for next-generation codecs, with a specific emphasis on Generative AI applications. | Post-train | 7 |
| Software Engineer, Infrastructure and Data AI, Ads Platform Software Engineer role focused on building and supporting infrastructure components for Google Ads, specifically developing LLM-based agentic AI solutions and related infrastructure. The role involves writing Java code, participating in design reviews, and contributing to documentation for AI agents. | AgentServe | 7 |
| Senior Software Developer, Applied AI and Telephony Senior Software Developer role focused on integrating AI agents with telephony systems for customer support. The role involves end-to-end development of communication systems, defining technical direction for telephony integrations, and ensuring reliable, scalable, and intelligent Generative AI experiences. It requires expertise in telephony stacks (PSTN, SIP, WebRTC) and experience with ML infrastructure and software development. | AgentServe | 7 |
| Staff Software Engineer, YouTube Ads Machine Learning Staff Software Engineer at Google YouTube Ads ML team, focusing on designing, developing, and deploying large-scale ML solutions for advertising products. The role involves technical leadership, optimizing ML infrastructure, and building recommendation system models. | ShipData | 7 |
| Staff Software Engineer, Search Intelligence Staff Software Engineer at Google, focusing on Search Intelligence. The role involves designing, developing, and deploying software solutions to improve the quality of AI-generated content within Google Search. This includes implementing and experimenting with AI/ML models, analyzing performance, and managing open-ended problems in large-scale systems. The position requires experience in AI platform and ML infrastructure, with a focus on improving AI-generated content quality and system health. | ShipServe | 7 |
| Senior Software Engineer, Operations Research Senior Software Engineer role focused on developing and implementing operations research and optimization algorithms, with a component of applying machine learning methodologies to solve problems at Google scale. The role involves writing and testing code, leading design reviews, and contributing to system design and architecture. | Data | 7 |
| Software Engineer III, AI/ML, Core Software Engineer III, AI/ML, Core at Google, focusing on building the technical foundation for AI/ML products. Responsibilities include writing code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing ML solutions with a focus on optimization and data processing. Requires experience with ML infrastructure, model deployment, evaluation, optimization, and data processing, with a specialization in areas like speech, reinforcement learning, or ML infrastructure. | ServeData | 7 |
| Software Engineering Manager, Retrieval Quality Google is seeking a Software Engineering Manager for the Retrieval Quality team. This role involves defining and driving the technical roadmap, managing a team of engineers, overseeing architectural design, and driving AI transformation to improve engineering productivity and solve technical problems. The team focuses on retrieval infrastructure and search quality, impacting large-scale distributed systems. | Serve | 7 |
| Senior Software Engineer, Agentic Infrastructure, GBO Engineering Senior Software Engineer to architect and build agentic infrastructure for unifying fragmented business domains, enabling agents to perform multi-hop reasoning and tool execution using RAG and LLM orchestration for customer context and autonomous action plans. | Agent | 7 |
| Senior Engineering Manager, ML Infrastructure for Ads Safety Senior Engineering Manager for ML Infrastructure in Ads Safety, leading technical strategy and organizational growth for platforms powering high-stakes content and actor detection. Bridges ML research and production engineering, driving evolution of ML infrastructure for complex models and operational excellence. | ServeData | 7 |
| Staff Software Engineer, Access Intelligence Staff Software Engineer role focused on defining strategy and developing solutions for agentic cloud use cases within Google Cloud. Requires strong software development, design, and architecture experience, with a preference for experience in building agentic systems. | Agent | 7 |
| Technical Solutions Engineer, Artificial Intelligence/Machine Learning Technical Solutions Engineer for Google Cloud AI/ML portfolio, focusing on customer-facing support, troubleshooting ML deployments (including Generative AI), and ensuring production readiness. Requires strong Python scripting, debugging skills, and experience with ML frameworks and cloud infrastructure. | ServePost-train | 7 |
| Data Science Manager, AI/ML This role is for a Data Science Manager to lead a team in India focused on AI/ML initiatives for People Operations. The manager will provide technical leadership, oversee the development and deployment of AI/ML models (including NLP and predictive models), and bridge the gap between business needs and technical execution. The role involves hiring, mentoring, and managing the data science pod, driving technical architecture, and advocating for AI transformation within the organization. | ShipAgent | 7 |
| Engineering Manager, ML Infrastructure Control Plane Google is seeking an Engineering Manager for their ML Infrastructure Control Plane team. This role involves leading engineering efforts for Alphabet's ML workloads, supporting critical missions across various Google divisions. The team focuses on providing efficient, reliable, and easy-to-use fleet-wide scheduling for ML infrastructure. The manager will set team priorities, develop technical roadmaps, guide system designs, and oversee code development and reviews, ensuring the efficient operation of large-scale ML infrastructure. | Serve | 7 |
| Senior Engineering Analyst, Photos Responsible AI This role focuses on ensuring the safety and trustworthiness of AI features within Google Photos, specifically generative AI. The Senior Engineering Analyst will work with various teams to develop and execute comprehensive evaluations, identify emerging risks and abuse vectors, and build resilience against malicious inputs. The role involves defining testing approaches, tools, and solutions, establishing testing to discover risks, and defining program metrics and feedback loops. | Eval GatePost-train | 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 |
| Staff Software Engineer, RCPS AI Staff Software Engineer role at Google Cloud focusing on AI and ML, specifically in building AI Agents, Agentic AI, and ML models with NLP capabilities for security products. The role involves leading a full-stack team, designing, developing, testing, and deploying platforms, and collaborating with various stakeholders. | Agent | 7 |
| Staff Software Engineer, Machine Learning Compilers, Edge TPU Staff Software Engineer focused on building ML compilers for EdgeTPU hardware, optimizing ML models for inference, and working on hardware/software co-optimizations. Collaborates with ML model developers and researchers to deploy models on EdgeTPU. | Serve | 7 |
| Staff Software Developer, Infrastructure, Conversational Agents and Dialogflow Platform Google is seeking a Staff Software Developer to join their Conversational Agents team, focusing on building and serving large-scale chat and voice bots. This role involves technical leadership, influencing a distributed team, and designing/developing/deploying large-scale software solutions for AI-driven conversational agents. The team is part of the rapidly growing Cloud AI product suite, transforming enterprise customer connections through AI. | AgentServe | 7 |
| Software Engineer, Edge TPU Compilers, Silicon Software Engineer role focused on developing and optimizing compilers for Google's EdgeTPU, a custom ML accelerator for on-device AI. The role involves analyzing compiler performance, enhancing parallelization algorithms, and efficiently mapping generative AI models to EdgeTPU instructions to enable cutting-edge ML experiences on devices like Pixel phones. | Serve | 7 |
| Senior Software Engineer, AI/ML Infrastructure Senior Software Engineer focused on optimizing AI/ML infrastructure performance across the technical stack, from networking and data storage to ML models, to provide AI developers with a high-performance experience on Google's AI infrastructure. Responsibilities include designing and implementing solutions, optimizing performance, profiling, debugging, and developing tools for AI/ML infrastructure. | ServeData | 7 |
| Software Engineer III, AI Infrastructure, TPU, Cloud Storage Software Engineer III role focused on building and integrating Cloud Compute software to bootstrap TPU AI Infrastructure, including OS image deployment and node-specific software for computation offload, integrating with TPU clusters and cloud infrastructure. The role involves collaboration with TPU Software and Hardware teams and partnering with cross-functional leaders to shape ML infrastructure. | Serve | 7 |
| Staff Software Engineer, YouTube Developer Infrastructure Staff Software Engineer role focused on building applied AI products and developer infrastructure for YouTube, with an emphasis on Generative AI tools and multi-modal agents to improve the development process. | Agent | 7 |
| Staff Software Engineering Manager, Emergent AI Infrastructure Staff Software Engineering Manager for Emergent AI Infrastructure at Google, focusing on building and managing teams that deliver AI infrastructure at scale with sophisticated security and locality requirements for enterprise customers. The role involves technical leadership, people management, and contributing to product strategy for AI platforms and services. | Serve | 7 |
| Staff Software Engineer, Search Platforms Staff Software Engineer role focused on building AI for developers within Google Search, leveraging agentic frameworks and LLM-powered automation to enhance developer experience and build scalable platform systems. | Agent | 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 workload optimization. | Serve | 7 |
| Software Engineer, AI Agents, Tools and Productivity Software Engineer role focused on building AI-based agents and a full-stack application for workflow automation within the AI and Infrastructure organization at Google Cloud. The role involves defining requirements, leading development, and implementing features to automate core tasks and improve program delivery. | Agent | 7 |
| Senior Software Engineer, AI/ML, Google Workspace Senior Software Engineer role focused on building AI/ML features for Google Workspace products, impacting billions of users. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and collaborating with model builders from Google DeepMind to shape the future of productivity tools. | Ship | 7 |
| RTL Design Engineer, Machine Learning Accelerators This role focuses on RTL design for AI/ML hardware accelerators, specifically Google's TPUs. The engineer will design and verify complex digital designs, focusing on TPU architecture and its integration within AI/ML systems, contributing to the innovation behind Google's AI/ML applications. | Serve | 7 |
| Technical Program Manager, AI Agent Prototyper, Supply Chain Technical Program Manager to prototype AI agents for supply chain optimization within Google Cloud. The role involves analyzing business requirements, designing and building AI agents, collaborating with data science and engineering teams, and leading a technical program management team. Requires experience in supply chain operations, leadership, prompt engineering, classical ML, and generative AI. | Agent | 7 |
| RTL Design Engineer, Machine Learning This role focuses on RTL design for AI/ML hardware acceleration, specifically TPUs, powering Google's AI/ML applications. The engineer will design and verify complex digital designs, focusing on TPU architecture and its integration within AI/ML systems, contributing to custom silicon solutions. | Serve | 7 |
| Staff Software Engineer, TPU Performance Staff Software Engineer focused on optimizing the performance and efficiency of Google's TPU fleet for Machine Learning training and serving workloads, including models like Gemini. This role involves deep analysis of performance metrics, collaboration with product teams and researchers, and implementation of solutions at scale, potentially touching compiler, runtime, model co-design, quantization, and sparsity. | ServePost-train | 7 |
| Engineering Manager, BigQuery Advanced Analytics Engineering Manager for Google BigQuery's Advanced Analytics team, focusing on the AI, ML, Search, and extensibility architecture. The role involves developing a technical roadmap for the extensibility platform, enabling custom logic execution within BigQuery for AI/ML pre-processing, training, and inference. It also includes leading feature lifecycles, driving technical vision for hybrid compute workloads, and overseeing production stability and performance. | ServeData | 7 |
| Software Engineer III, AI/ML, Health and Home Software Engineer III, AI/ML role focused on developing LLM-based tools for generating synthetic user data and conversations for health and home feature evaluations. This involves implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing, with a focus on advancing the quality and realism of synthetic context and defining evaluation metrics. | DataAgent | 7 |
| Customer Engineer II, Applied AI, Google Cloud Customer Engineer II, Applied AI, Google Cloud. This role involves partnering with technical sales teams as an Applied AI subject matter expert to help customers understand and leverage Google Cloud's Generative AI solutions, particularly for customer experience applications. Responsibilities include engaging with customers, understanding their business and technical requirements, developing cloud solutions, conducting Proofs of Concept, and troubleshooting technical issues related to Google's first-party AI offerings. The role requires expertise in conversational AI, building or leveraging AI solutions/ML APIs, and presenting practical solutions to technical and executive stakeholders. | Agent | 7 |
| Senior Staff Software Engineer, Google Slides Senior Staff Software Engineer for Google Slides, focusing on integrating GenAI features. This role involves overseeing technical strategy, leading development of AI-powered features using Gemini and Nano Banana, and collaborating with Google DeepMind. The goal is to enhance presentation creation through AI-powered tools, impacting billions of users. | AgentServe | 7 |
| Software Engineer, AI/ML Software Engineer role focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in software development and ML infrastructure, with preferred qualifications in C++ and software design. | Serve | 7 |
| Staff Software Engineer, Applied AI, Search Staff Software Engineer role focused on building Search for Commerce, including traditional search and agentic AI discovery experiences. The role involves developing scalable product search solutions and conversational agents for enterprises, leveraging ML infrastructure and collaborating with model builders. | Agent | 7 |
| Senior Software Engineer, AI/ML, Search Senior Software Engineer role focused on AI/ML within Google Search, involving the design and implementation of ML solutions, leveraging ML infrastructure, and expertise in specialized ML areas like speech/audio or reinforcement learning. The role requires experience in programming, software development, and ML infrastructure aspects such as deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Software Engineer, Content Safety, Infra Software Engineer role focused on building and scaling content safety platforms using ML infrastructure and responsible AI techniques to protect users from harmful content. The role involves designing, building, and maintaining these platforms, ensuring quality implementations of company-wide standards for Responsible AI, and collaborating with stakeholders. It requires experience in software development, ML infrastructure, and potentially speech/audio or reinforcement learning. | ServeEval Gate | 7 |
| Software Engineer, Content Safety, Productionization Software Engineer role focused on designing, building, and maintaining content safety solutions for Google's business-critical products. This involves implementing Responsible AI standards, protecting users from harmful content using ML/AI techniques, and ensuring quality through classifiers and classifiers. The role requires production-grade experience in serving infrastructure and product integrations, with a focus on delivering scalable and future-proof solutions. | ShipServe | 7 |
| Software Engineer III, AI/ML, Google Cloud Software Engineer III on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. The role involves writing product/system code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in ML areas including ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure (deployment, evaluation, optimization, data processing), and optionally speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer III, AI/ML GenAI, Google Workspace Software Engineer III at Google Workspace focused on implementing GenAI solutions for productivity tools like Gmail, Docs, and Meet. The role involves utilizing ML infrastructure, contributing to data preparation, optimization, and performance enhancements, and working with core GenAI concepts such as LLMs, Multi-Modal, and Large Vision Models for text, image, video, or audio generation. The primary goal is to build AI-powered features into user-facing products. | ShipServe | 7 |