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 |
|---|---|---|
| Software Engineering Manager II, Health Data Foundation Software Engineering Manager II for Google's Health Data Foundation team, focusing on organizing and transforming health and fitness data using AI for Fitbit. The role involves leading a team, architecting technical solutions, and driving cross-functional collaboration to build impactful AI-driven projects. | Data | 7 |
| Senior UX Engineer, YouTube Subscriptions Senior UX Engineer for YouTube Subscriptions, focusing on building an AI prototyping program for OTT content. This role involves architecting experimental frameworks for GenAI-driven creation tools, developing shared sandboxes and reusable toolsets for designers, and integrating LLMs to create functional, high-fidelity prototypes. The engineer will also work with front-end engineers to transition designs into production-ready UI. | Agent |
| 7 |
| Machine Learning Analyst, Egregious Harms This role focuses on developing and applying machine learning and AI techniques to create scalable safety solutions for AI products within Google's Trust and Safety team. The analyst will examine protection measures, uncover shortcomings, and provide insights for security enhancements, specifically computing statistics on the performance of ML systems, classifiers, and LLMs to identify nuanced problems. | ShipPost-train | 7 |
| Senior Software Engineer, Core, AI Enablement Google is seeking a Senior Software Engineer to join their AI Enablement organization, specifically the Core team. This role focuses on building internal AI-native products and tools to enhance Googler productivity. The engineer will lead the technical execution of transitioning AI prototypes into scalable products, own complex technical areas, and write high-quality code. Experience with LLMs, agentic workflows, and full-stack development is preferred. | ShipAgent | 7 |
| Software Engineer III, Google Play, AI Game Assistant Software Engineer III at Google Play focused on leveraging AI to create compelling user experiences for mobile games, including building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. | ShipData | 7 |
| Principal Engineer, YouTube Shorts, Creator Growth Principal Engineer for YouTube Shorts Creator Growth team, focusing on growing the creator ecosystem by inspiring viewers to create. This role involves modeling complex user journeys, building attribution systems, developing cold-start solutions, and creating sophisticated creator value models. It leverages LLMs, multi-modality modeling, and large embedding models for specialized recommender systems, partnering with Gemini and research teams to lower creation barriers. The role requires deep expertise in large-scale recommendation systems, Generative AI for content understanding, and machine learning infrastructure. | ShipAgent | 7 |
| Senior Software Engineer, Full Stack Senior Software Engineer role focused on full-stack development within Google Cloud's AI Research team. The role involves writing and testing code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. The team works on AI challenges across various industries, aiming to push state-of-the-art AI and bring innovations to real-world impact. Requires experience in Gen/AI and building AI applications. | Ship | 7 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer on the AI Automotive team at Google, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a focus on engineering excellence and technical leadership. | Agent | 7 |
| Software Engineer III, AI/ML, gUP Customer Support Software Engineer III at Google working on User Voice and Cases AI Assistant, focusing on designing, developing, testing, deploying, and maintaining software systems for user voice model serving and other ML-based support needs. The role involves integrating ML models into production environments and working with ML infrastructure. | Serve | 7 |
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google focused on AI/ML for Recommendations, Rankings, and Predictions within YouTube. The role involves designing, developing, and deploying large-scale software solutions, leading ML infrastructure optimization, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models and ML infrastructure in production. | ShipServe | 7 |
| Senior Engineering Manager, Geo This role is for a Senior Engineering Manager at Google's Geo team, focusing on leading software engineers and managing technical project strategy, ML infrastructure optimization, and the design/implementation of ML solutions. The role involves people management, setting team priorities, developing technical roadmaps, and overseeing system designs, particularly within the Geo domain (Maps, Earth, etc.). Experience with ML infrastructure, speech/audio, reinforcement learning, or other ML specializations is required. | ServePost-train | 7 |
| Practice Customer Engineer, Applied AI, Google Public Sector Customer Engineer specializing in Applied AI for Google Public Sector, partnering with sales teams to showcase Google Cloud's AI/ML capabilities, develop solutions, and conduct proofs of concept for government and education clients. Requires experience with AI/ML APIs, prompting, agent tooling, evaluation frameworks, and conversational AI. | Agent | 7 |
| Engineering Manager, Hybrid and On-prem AI Infrastructure Engineering Manager for Hybrid and On-prem AI Infrastructure, focusing on building a novel on-premises AI supercomputer using Google's AI accelerators hardware and the critical software that supports it. The role involves technical leadership, team management, strategic direction, and collaboration with product and GTM teams to deliver solutions for customers with sophisticated security and locality requirements. | Serve | 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 |
| Cloud Engineer, AI/ML, Professional Services, Google Cloud (English, Japanese) Google Cloud Consulting Professional Services team seeks a Cloud AI Engineer to design and implement ML solutions for enterprise customers, leveraging Google Cloud products like TensorFlow, DataFlow, and Vertex AI. The role involves customer engagement, solution deployment, workshops, and collaboration with product teams. Requires strong software development and ML experience, cloud architecture knowledge, and fluency in Japanese and English. | ShipServe | 7 |
| Cloud AI Senior Technical Program Manager I Technical Program Manager for Google Cloud's Generative AI products, focusing on enterprise customers. This role involves guiding product delivery, defining roadmaps, prioritizing features, and managing complex technical projects from inception to release. The TPM will leverage technical depth, product understanding, and program management expertise to influence Google's AI strategy and empower developers. Responsibilities include managing programs related to agent platforms, Gemini enterprise, and model deployment, with a focus on AI model training, testing, evaluation, tuning, LLM release cycles, and AI product KPIs. The role requires translating technical concepts into strategy and understanding ML/AI principles. | ShipAgent | 7 |
| Cloud AI Senior Technical Program Manager II Google Cloud is seeking a Senior Technical Program Manager II to guide the delivery of Generative AI products for enterprise customers. This role involves partnering with product managers, engineers, and leadership to define roadmaps, prioritize features, and drive complex technical projects to successful release. The TPM will leverage technical depth, product understanding, and program management expertise to influence Google's AI strategy and empower developers. | ShipAgent | 7 |
| Cloud AI Technical Program Manager III Technical Program Manager for Google Cloud's Generative AI products, focusing on enterprise customers. The role involves guiding the delivery of AI products, including agent platforms and model deployment, requiring deep technical and product understanding to manage complex AI programs from start to finish. | AgentPost-train | 7 |
| Software Engineer III, AI/ML, Display Ads Software Engineer III, AI/ML role focused on developing and optimizing ML models and infrastructure for Google's Display Ads platform. This involves writing code, collaborating on design and reviews, triaging issues, and implementing solutions in specialized ML areas, with a focus on model optimization and data processing. | Serve | 7 |
| Software Engineer, AI/ML, Workspace Software Engineer role focused on the quality of generative AI-powered features in Google Workspace. Responsibilities include modeling, evaluation, experimentation, synthetic data generation, and improving GenAI models for real products, collaborating with various Workspace and Gemini teams. Requires software development experience and experience with ML infrastructure, model evaluation, optimization, and data processing. | ShipData | 7 |
| Senior Research Data Scientist, AI Developer Tools This role focuses on driving the product success of Generative AI-based development tools within Google Cloud, leveraging advanced analytics and statistical methodologies. The Senior Research Data Scientist will partner with Engineering and Product Management to shape these tools, influence executive decisions, and lead product launch evaluations, working at the forefront of AI to redefine developer productivity. | Ship | 7 |
| Senior Site Reliability Engineer Senior Site Reliability Engineer (SRE) role focused on ensuring the reliability, scalability, and performance of AI/ML platforms, specifically the Vertex AI platform. The role involves supporting the full lifecycle of services, from design to operation, with a strong emphasis on automation, incident response, and building production-quality ML systems. While the role supports AI/ML platforms, the primary output is reliable infrastructure and services (L3), not the AI models themselves. | Serve | 7 |
| Technical Program Manager, Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Post-Training & Alignment in GenAI at DeepMind, focusing on driving technical design, execution, and operational processes for safety, alignment, and collaboration. The role involves managing multi-team projects, adapting plans in fast-paced environments, identifying risks, and building stakeholder relationships. | Post-train | 7 |
| Product Manager II, Maps 3D and AI Product Manager for Google Maps 3D and AI, focusing on integrating GenAI and sensor data to build a 3D world model for geospatial use cases. The role involves defining product requirements, driving launches, developing product vision, validating market opportunities, and converting 3D geospatial understanding by leveraging AI, computer vision, and machine learning. | Ship | 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 |
| Senior Software Engineer, AI Powered GRC Automation This role focuses on building and maintaining a scalable platform to support AI-driven Governance, Risk, and Compliance (GRC) functions. The engineer will develop and implement AI/ML models and algorithms for automating tasks like continuous controls monitoring, audit readiness, and risk management, and will also engineer data pipelines for training and monitoring. | AgentData | 7 |
| Software Engineer, Information Security Engineering Software Engineer role focused on developing agentic tooling and systems for information security at Google. The role involves automating security processes, analyzing risks, detecting vulnerabilities, and assisting developer teams in embedding security best practices. Key responsibilities include collaborating on AI agent development, steering the strategic development of agents and infrastructure for vulnerability handling, and implementing Go back-end systems and Python AI agents. | Agent | 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 |
| Staff Software Engineer, AI/ML, App Ads Quality Staff Software Engineer at Google working on App Ads Quality, focusing on designing and improving deep learning-based ML models to predict user interaction with ads. This involves feature engineering, optimizing model efficiency and reliability, and debugging advertiser performance. The role requires significant experience in software development, ML design, and ML infrastructure. | Post-train | 7 |
| Security Engineer II, Uppercase Research Security Engineer II, Uppercase Research at Google, focusing on identifying and mitigating threat actors using big data, cybersecurity, machine learning, and large-scale cloud computing. The role involves technical threat actor behavior analysis, data analysis for ML pipelines, building detection engineering processes and tooling, managing YARA-L rules, and innovating detection engineering with LLM-based technologies. | Data | 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 |
| Software Engineer, Android User Experience, Pixel Software Engineer role focused on integrating AI models into the Android User Experience for Pixel devices, specifically for an attention management feature. Responsibilities include designing and implementing the AI feature, optimizing performance and latency in collaboration with hardware teams, and building the application UI. | Agent | 7 |
| Software Engineer III, Mobile XR Software Engineer III, Mobile XR at Google, focusing on building AR glasses applications that integrate AI, particularly Gemini-based translation models, for real-time speech translation and other helpful experiences. The role involves adapting and launching first-party apps for mobile platforms, leveraging Generative AI tools for development acceleration, and ensuring native XR support. | Ship | 7 |
| Software Engineer III, Google Threat Intelligence Software Engineer III for Google Threat Intelligence focused on building AI-driven systems for cyber threat collection and analysis. The role involves developing automated tools to gather data from the dark, deep, and open web, applying ML/LLMs to process unstructured text, and building data pipelines to create structured intelligence for threat databases. The goal is to enhance proactive defense against global cyber threats. | Data | 7 |
| Senior Staff Software Engineer, AI/ML, IAM Senior Staff Software Engineer role focused on developing security controls and guardrails for AI agents within Google Cloud's Identity and Access Management (IAM) system. The role involves leading the design and implementation of large-scale authorization systems, extending IAM functionality to govern agent behaviors, and ensuring the security and reliability of these systems. | Agent | 7 |
| Staff Software Engineer, Google Cloud Generative AI Blackbelt Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focused on helping enterprise customers adopt and integrate Generative AI solutions. This role involves understanding customer needs, resolving technical blockers, recommending architectures, and supporting developers in leveraging Google's GenAI APIs. | Agent | 7 |
| Senior Software Engineer, Security/Privacy, AI Agents Senior Software Engineer focused on building security and privacy frameworks for AI agents within Google Workspace. The role involves developing robust security, enforcing agent identities, and establishing real-time safety guardrails to enable secure collaboration with AI agents, impacting billions of users. | Agent | 7 |
| Senior Quality Engineer, Gemini Enterprise Quality Senior Quality Engineer for Gemini Enterprise Quality at Google Cloud AI Research. This role involves designing and implementing ML solutions, leveraging ML infrastructure, and focusing on quality assurance for AI products, particularly in specialized ML areas like speech/audio or reinforcement learning. The role requires experience in ML infrastructure, including model deployment and evaluation, and contributes to bringing AI innovations to real-world impact. | Eval GateServe | 7 |
| Senior Software Engineer, AI/ML, Search Platforms Senior Software Engineer focused on AI/ML within Google Search Platforms, responsible for designing and implementing ML solutions, leveraging ML infrastructure, and contributing to product/system development and testing. Requires experience in software development, ML infrastructure, and specialized ML areas like speech/audio or reinforcement learning. | Serve | 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 |
| Senior Software Engineer, ML Compilers, Edge TPU Senior Software Engineer on the EdgeTPU Compiler team responsible for building next-generation compiler optimizations to power machine learning (ML) models on custom hardware. This role involves translating framework-level code (JAX, PyTorch) into efficient instructions for the EdgeTPU, owning end-to-end features, triaging issues, implementing optimizations, and collaborating with model owners and stakeholders to accelerate ML deployment on edge devices. | Serve | 7 |
| Staff Functional Safety Engineer, Robotics Compute, DeepMind Staff Functional Safety Engineer for robotics compute platforms at Google DeepMind, focusing on designing and implementing functional safety architectures for AI-powered robots. The role involves ensuring compliance with safety standards, collaborating with AI research teams, and overseeing the deployment of complex electromechanical systems. | Ship | 7 |
| Software Engineer ll, Account Threats Detection, Google Core Software Engineer II on the Account Threats Detection team at Google Core, focusing on building and operating the ML ecosystem for transformer-based account activity models. The role involves implementing ML pipelines for experimentation, training, validation, and deployment, as well as analyzing model drift and collaborating with partners to integrate threat detection solutions. | ServePost-train | 7 |
| Senior RTL Design Engineer, Google cloud This role focuses on the design and implementation of Application-Specific Integrated Circuits (ASICs) for accelerating Machine Learning (ML) computations in data centers, specifically for Google's AI and Infrastructure team. The engineer will work on micro-architecture, implementation, and optimization of these custom silicon solutions, collaborating with various teams to deliver high-performance and efficient hardware accelerators. | Serve | 7 |
| Software Engineer, Agentic Validation of Global Correctness Software Engineer role focused on AI-driven validation of AI-generated code and systems, ensuring stability and correctness as AI code volume grows. Responsibilities include creating and executing integration tests, validating system attributes, and identifying/addressing validation gaps to mitigate risks. The role involves working with coding agents and injecting quality feedback into the development loop. | AgentEval Gate | 7 |
| Software Engineer, Engineering Productivity, Pixel Tools Software Engineer on the Pixel System Health Engineering Productivity team, focused on applying AI/ML (like Gemini) to automate bug triage, justify device quality, and improve overall Pixel product reliability and performance. The role involves developing and scaling automated triage systems, building predictive tools, and collaborating with cross-functional teams to integrate AI-powered solutions. | Agent | 7 |
| Senior Software Engineer, Machine Learning, Debug Senior Software Engineer, Machine Learning, Debug role focused on developing and deploying deep learning models for mosquito-born disease eradication. This involves computer vision for analyzing mosquitoes, statistical modeling for population dynamics, and building production-ready code for scalable deployment, with a focus on optimizing vector control strategies. | ServeData | 7 |
| Tech Lead Manager, Kubernetes AI Infrastructure Tech Lead Manager for Kubernetes AI Infrastructure, responsible for building and managing reliable and scalable TPU orchestration with Kubernetes to enable customers to run GenAI workloads at scale on-premises. The role involves technical leadership, people management, and collaboration with AI labs to influence the infrastructure roadmap. | Serve | 7 |
| Senior Software Engineer, Recommendations, Rankings, Predictions, YouTube Ads Google is seeking a Senior Software Engineer to design and implement recommendation systems models for YouTube Ads, leveraging ML infrastructure and contributing to architecture. The role involves writing and testing code, collaborating with stakeholders, triaging issues, and deploying models in production. | ShipData | 7 |
| Director, Engineering, Workspace Slides and Sites, Google Cloud Director of Engineering for Google Slides, leading the integration of AI into a collaborative presentation platform. Focus on accelerating innovation, defining the technical roadmap for an AI-first architecture, and partnering with cross-functional teams, including DeepMind, to build advanced AI capabilities and drive commercial success. | Ship | 7 |