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, 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. | Agent |
| 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 |
| 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 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 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, 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 |
| 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 |
| 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 |
| 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 |
| Software Engineer III, AI Powered Rust Software Engineer III role focused on building and leveraging AI, specifically agentic workflows, to automate the migration of C/C++ codebases to Rust. The role involves optimizing AI-generated code, implementing verification workflows, and designing multi-agent harnesses for code translation and analysis. | Agent | 7 |
| Technical Lead, Native Commerce Integrations Technical Lead role focused on building the foundational protocol and API layer for AI agents to interact with commerce back ends. This involves designing schemas, developing AI commerce experiences on Google surfaces, building native integrations, and ensuring trust and safety for agentic transactions. The role also involves leading a team of engineers, driving technical strategy, and contributing to the codebase. | AgentServe | 7 |
| Software Engineering Manager, Commerce Shopping Quality Journey Orchestration Manage a team focused on orchestrating AI quality within Google Shopping, leveraging LLM-based autoraters for user metric proxies and driving improvements through advanced response orchestration. | Agent | 7 |
| Software Engineer Manager II, Embedded Systems/Firmware, Silicon This role manages a team of compiler engineers focused on optimizing AI models for EdgeTPU hardware. Responsibilities include improving compiler quality and performance, developing parallelization and scheduling algorithms for ML workloads, and mapping AI models to hardware instructions. The role requires experience in compiler development, ML accelerators, and people management. | Serve | 7 |
| RTL Design and Integration Engineer, TPU and ML This role focuses on the RTL design and integration of Google's Tensor Processing Units (TPUs), which are custom hardware accelerators for AI/ML workloads. The engineer will be responsible for microarchitecture, design, implementation, and integration of digital logic blocks, collaborating with cross-functional teams to deliver hardware. The role emphasizes optimizing for performance, power, and area in complex digital designs for AI accelerators. | Serve | 7 |
| Cloud AI Consultant II, Professional Services (English) This role involves consulting with customers to develop, deploy, and manage custom AI/ML solutions in production using Google Cloud technologies. The consultant will provide technical project management and guidance, working with client executives and technical leaders, as well as internal specialists and partners. | ShipAgent | 7 |
| Software Engineer III, AI/ML Computer Vision, AR Software Engineer III at Google working on AI/ML Computer Vision for AR. Responsibilities include writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and implementing computer vision solutions with ML infrastructure, model optimization, and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of Computer Vision experience, and 1 year of ML infrastructure experience. | ServeData | 7 |
| Senior Software Engineer, Server AI Foundations, Core Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure. | Agent | 7 |
| Software Engineer III, Enterprise Data Protection Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats. | Agent | 7 |
| Security Engineer II, Enterprise Security AI Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations. | Agent | 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. Responsibilities include writing product/system code, collaborating on design/code reviews, contributing to documentation, triaging/debugging issues, and implementing solutions in specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. | Serve | 7 |
| Software Engineer III, AI/ML, Google Ads Software Engineer III role within Google Ads focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in programming (Python/C++) and ML infrastructure, with a specialization in areas like speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Software Engineer III, AI/ML, AI and Infrastructure Software Engineer III on the AI and Infrastructure team at Google, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing code, collaborating on design and code reviews, triaging issues, and implementing ML solutions with a focus on ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure, and a specialization in areas like speech/audio or reinforcement learning. | ServeData | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Software Engineer, AI/ML, YouTube Senior Software Engineer at Google's YouTube, focusing on AI/ML development. The role involves writing and testing code, collaborating with stakeholders, contributing to documentation, triaging and debugging issues, and designing/implementing solutions in specialized ML areas using ML infrastructure. Requires experience in Python, C++, software design, and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Senior Software Engineer, Machine Learning, Google Cloud Compute Senior Software Engineer on Google Cloud Compute focusing on ML/AI algorithms, deep learning, and NLP. Responsibilities include software development, design, testing, deployment, and maintenance, with a focus on managing project priorities and deliverables. Requires 5 years of software development experience and 3 years of experience with ML/AI algorithms and tools. | Serve | 7 |
| Software Engineer, TPU Compiler, PhD, Early Careers Software Engineer role focused on developing and optimizing the TPU compiler for large-scale machine learning models. This involves writing C++ code, designing performance optimizations, and applying AI techniques to the compiler itself. The role supports both internal Google teams (like DeepMind) and external Google Cloud customers. | Serve | 7 |
| Senior Software Engineer, GPU Performance Senior Software Engineer focused on optimizing GPU performance for Google's AI models and products. This role involves low-level GPU programming, compiler optimizations, and influencing the GPU software stack and fleet deployment to ensure top performance for ML workloads. | Serve | 7 |
| Software Engineer III, AI/ML, YouTube Software Engineer III, AI/ML role at Google YouTube, focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in Python/C++, ML infrastructure, and potentially speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer III, AI/ML, Google Cloud AI Software Engineer III on the Google Cloud AI Research team, focusing 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, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure such as model deployment, evaluation, optimization, and data processing. Experience with speech/audio or reinforcement learning is a plus. | Serve | 7 |
| Hardware Architecture Modeling Engineer, PhD, University Graduate This role focuses on developing architectural and micro-architectural models for next-generation TPUs (Tensor Processing Units) to enable quantitative analysis of performance and power. The engineer will contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design, collaborating with various teams to define TPU chip specifications and roadmaps for AI/ML hardware acceleration. | Serve | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineer III at Google working on AI/ML Recommendations, Rankings, and Predictions for YouTube. The role involves writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and building/deploying recommendation systems models using ML infrastructure, with a focus on model optimization and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of experience building/deploying recommendation systems, and 1 year of ML infrastructure experience. | ShipData | 7 |
| Software Engineer, PhD, Early Career, 2026 Google is seeking a PhD Software Engineer with expertise in AI/ML and large-scale distributed systems to design, test, deploy, and maintain software solutions for AI and Infrastructure (AI2) organization. The role involves defining technical goals, developing scalable systems, applying research expertise to complex problems, and contributing to essential Google services and Cloud products. | Serve | 7 |