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 |
|---|---|---|
| Staff Software Engineering Manager, Emergent AI Infrastructure Staff Software Engineering Manager for Emergent AI Infrastructure at Google, focusing on building and scaling AI infrastructure for Google customers, including internal teams, Google Cloud customers, and end-users. The role involves technical leadership, people management, and ensuring security for large-scale, sophisticated projects with high security requirements, including those supporting top-secret cleared projects. | Serve | 7 |
| Compiler Engineer Compiler Engineer for Tensor Processing Unit (TPU) to accelerate machine learning workloads. This role involves architecting and compiling distributed implementations, collaborating with hardware and software teams to optimize ML chip performance, and enabling processors for ML acceleration. Requires experience in software development and familiarity with ML infrastructure or related ML fields. | Serve |
| 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 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 |
| 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 |
| 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 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Software Engineer, Apps, Video and Display Modeling Infrastructure Software Engineer role focused on building and improving modeling infrastructure for Google Ads, supporting user data collection, model training, feature iteration, inference, and serving. The role involves building infrastructure to enhance dev velocity and resource efficiency in ad personalization modeling, and assisting ML teams with onboarding the latest modeling infrastructure. | ServeData | 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Capacity Management Senior Technical Program Manager role focused on managing critical infrastructure capacity for Google Cloud Applied AI (AAI) products, including agent-based solutions and Gemini Enterprise. The role involves designing and operationalizing capacity planning processes, collaborating with cross-functional teams, and ensuring resource constraints do not hinder program velocity for enterprise customers. | ServeAgent | 7 |
| Senior Software Engineering Manager, Core, engEDU This role is for a Senior Software Engineering Manager to lead teams focused on embedding AI into Google's internal engineering education curriculum. The manager will provide technical leadership for major projects, manage project goals, contribute to product strategy, and develop their team. Key responsibilities include setting team priorities, providing feedback and coaching, developing long-term technical roadmaps, overseeing systems designs, and driving technical project strategy for ML infrastructure optimization and GenAI solutions. The role requires significant experience in software development, technical leadership, people management, ML infrastructure optimization, and GenAI techniques. | ServeAgent | 7 |
| Software Engineer II, Cloud AI/ML Software Engineer II role at Google Cloud focusing on AI/ML, involving product/system development, ML concept implementation, and deployment on cloud infrastructure. Requires experience with core ML concepts and software development. | Serve | 7 |
| Software Engineer III, AI/ML, Content Safety Software Engineer III, AI/ML, Content Safety role at Google focuses on developing and implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Minimum qualifications include software development experience and experience with speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, or data processing. | Serve | 7 |
| Software Engineer III, AI/ML, Google Cloud, Automotive Software Engineer III role at Google Cloud focusing on AI/ML within the Automotive sector. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Key responsibilities include utilizing ML infrastructure, contributing to model optimization, and data processing. Minimum qualifications include experience in software development and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Software Engineer II, AI/ML Software Engineer II, AI/ML at Google Cloud, focusing on developing and deploying AI/ML solutions for enterprise needs, including AI safety and cloud infrastructure integration. | Serve | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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, 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, 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 |
| 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 |
| 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, ML Infrastructure, Core Infra This role focuses on building and scaling ML infrastructure for conversational AI products, including agent assist and dialogflow. The engineer will develop centralized infrastructure solutions to support product teams in areas like compliance, feature development, and scaling, working closely with model builders to accelerate go-to-market for new capabilities. | Serve | 7 |
| Staff Software Engineer, Search Ads ML and Large Language Models Staff Software Engineer at Google working on Search Ads ML and Large Language Models. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding the development of model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design. | Serve | 7 |
| Staff Software Engineer, Emerging On-prem AI Infrastructure Staff Software Engineer focused on building and optimizing AI infrastructure, including large-scale training and inference workloads, AI clusters, and AI acceleration hardware/networking. The role involves driving technical roadmaps, ensuring end-to-end supportability, and implementing success metrics for the team. | Serve | 7 |
| Software Engineer AI/ML Networking Software Engineer AI/ML Networking role focused on building and optimizing AI/ML networking solutions and smart NICs at Google. This involves working at the hardware-software boundary, writing C++ code, and contributing to ML infrastructure for model deployment, optimization, and data processing in high-bandwidth, low-latency environments. | Serve | 7 |
| Cloud Data and AI Engineer, Professional Services This role involves guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud. The engineer will provide architecture guidance, best practices, and support for customer implementations, including the development and deployment of ML models and integrations. The role also includes customer-facing activities like site visits, solution deployment, and educational workshops, as well as collaboration with Google's Product Management and Engineering teams. | Serve | 7 |
| Senior Software Engineer, Infrastructure AI/ML, Google Cloud Senior Software Engineer focused on AI/ML infrastructure within Google Cloud, involving development, testing, and deployment of ML models and systems at scale. Requires strong programming skills and experience with ML infrastructure or LLM deployment. | Serve | 7 |
| Staff Software Engineer, Vector Search, Vertex AI Staff Software Engineer role focused on Vector Search Serving infrastructure for Google Cloud's Vertex AI platform, requiring experience with large-scale distributed systems and GenAI concepts. | ServeAgent | 7 |
| Travel Ads Full Stack Staff Software Engineer Staff Software Engineer for Travel Ads, focusing on full-stack development, leading system design, and implementing GenAI inference pipelines and AI-native infrastructure. The role involves owning user-facing UI to back-end model infrastructure, collaborating with cross-functional teams, and driving engineering best practices. | ServeAgent | 7 |