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 |
|---|---|---|
| Senior Silicon CAD Tool Developer This role focuses on developing and deploying AI/ML models within Electronic Design Automation (EDA) CAD tool flows for AI/ML hardware acceleration, specifically for Google's TPUs. The engineer will architect, develop, and execute these flows, leveraging AI to enhance predictive modeling, automate routing, and optimize chip design processes. The role involves both frontend and backend software system development, partnering with chip design teams to improve PPA and TAT, and evaluating new EDA tools. | Serve | 7 |
| Software Engineer, Youtube Ads, Auction and User Experience Software Engineer role focused on optimizing YouTube Ads marketplace using machine learning and advanced optimization frameworks. Responsibilities include writing product/system code, collaborating on design/code reviews, triaging issues, and implementing ML solutions with a focus on model optimization and data processing. | Serve |
| 7 |
| Senior Software Engineer, Eye Tracking Senior Software Engineer role focused on developing and optimizing computational eye models for eye tracking in AR/VR contexts. The role involves research, algorithm development, real-time optimization for low-power devices, and collaboration with ML/perception and other engineering teams to deliver production-ready models and pipelines. Experience with computer vision, imaging, and machine learning is required. | Serve | 7 |
| Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage Staff Software Engineer for Google Distributed Cloud, Storage, focusing on building the foundational data layer for AI/ML workloads at the edge and in air-gapped environments. The role involves designing and developing scalable, distributed storage solutions optimized for massive throughput and ultra-low latency to support AI training and inference, and integrating with external storage hardware. | Serve | 7 |
| Smart NIC Software Engineer, Embedded Software Engineer role focused on developing AI/ML networking solutions and Smart NICs for Google's infrastructure. This involves C++ development, debugging, testing, and integrating with ML libraries and hardware. The role aims to build and deploy next-generation networking technologies at Google's scale. | Serve | 7 |
| Software Engineer, AI/ML, YouTube Ads Bidding and Advertiser Optimization Software Engineer role focused on AI/ML for YouTube Ads bidding and advertiser optimization. Responsibilities include writing product/system development code, collaborating on design/code reviews, contributing to documentation, triaging/debugging issues, and implementing solutions in ML areas using ML infrastructure, model optimization, and data processing. Requires experience with software development and ML infrastructure, with preferred experience in ML systems, quality, and ranking algorithms. | ServeData | 7 |
| Senior Accelerators Systems Software Architect, AI Transformation Senior Software Architect role focused on developing and optimizing the node and distributed system software, firmware, tools, and testing frameworks for integrating Accelerators (GPUs, TPUs) into Google's data centers. The role supports machine learning and high-performance workloads for internal services and Google Cloud customers, influencing the stack from hardware-software interface to AI system deployment. | Serve | 7 |
| RTL Design and Integration Engineer RTL Design and Integration Engineer responsible for the microarchitecture, design, implementation, and integration of digital logic blocks within Google's next-generation Tensor Processing Units (TPUs), which accelerate AI/ML workloads. Role involves close collaboration with cross-functional teams and requires expertise in digital logic design and computer architecture. | Serve | 7 |
| Software Engineer III, AI/ML, Display Ads Software Engineer III, AI/ML role at Google Display Ads focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing for large-scale advertising platforms. Requires experience in C++, Python, and specific ML areas like speech/audio or reinforcement learning, along with ML infrastructure experience. | ServeData | 7 |
| Software Engineer, Pixel Test Engineering/AI Application Software Engineer role focused on building and owning cross-device test infrastructure, with a key responsibility in exploring and implementing AI-powered automation to improve software development lifecycle, release cycles, and quality. The role involves writing product/system code, collaborating on design/code reviews, triaging issues, and implementing solutions in ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. | Serve | 7 |
| TPU RTL Design Engineer, Networking, Inter-Chip Interconnects This role focuses on the RTL design of custom silicon (TPUs) for AI/ML hardware acceleration, specifically the inter-chip interconnects. The engineer will design, implement, and verify complex digital designs for next-generation data center accelerators, contributing to the core components that power Google's AI and machine learning workloads. | Serve | 7 |
| Senior Software Engineer, AI/ML, Google Cloud Senior Software Engineer on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. The role involves designing and implementing solutions in ML areas, leveraging ML infrastructure, and potentially working with speech/audio or reinforcement learning. | ServePost-train | 7 |
| Power and Performance Architect, TPU This role focuses on designing and optimizing the power architecture for next-generation Tensor Processing Units (TPUs) that accelerate AI/ML workloads. The architect will bridge the gap between high-level concepts and silicon execution, focusing on power management features and performance-per-watt for ML applications, and will collaborate with software and data center teams to align silicon capabilities with system-level power constraints. | Serve | 7 |
| Senior Software Engineer, AI/ML, Google Cloud Platforms Senior Software Engineer role focused on AI/ML within Google Cloud Platforms, involving design and implementation of ML solutions, leveraging ML infrastructure, and expertise in areas like Speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Senior Software Engineer, AI/ML, Google Cloud AI Senior Software Engineer role focused on AI/ML within Google Cloud AI. The role involves writing and testing product/system development code, collaborating with peers, triaging issues, and designing/implementing solutions in specialized ML areas. Requires experience with ML infrastructure, model deployment, evaluation, optimization, data processing, debugging, and potentially speech/audio or reinforcement learning. | ServePost-train | 7 |
| Senior Software Engineer, Storage AI/ML Senior Software Engineer role focused on optimizing Google Cloud Storage for AI/ML workloads. The role involves developing specialized AI client libraries, benchmarking performance, investigating storage optimizations, and collaborating with various GCP teams to drive storage innovation for AI/ML. Requires experience with large-scale infrastructure, distributed systems, and AI/ML infrastructure. | Serve | 7 |
| Senior Software Engineer, Performance, AI and Infrastructure Senior Software Engineer focused on performance and infrastructure for AI at Google. This role involves developing and optimizing systems that support AI models at scale, ensuring efficiency, reliability, and velocity. Responsibilities include coding, design reviews, debugging, and contributing to the overall AI infrastructure. | Serve | 7 |
| Senior Software Engineer, AI/ML, Ads Safety Senior Software Engineer role focused on AI/ML within Google Ads Safety. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. Requires experience in software development, ML infrastructure, and quantitative fields. | Serve | 7 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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, Systems Research, PhD, Early Career Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams. | Serve | 7 |