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, On Device Machine Learning Software Engineer role focused on adapting and serving AI/ML models for on-device execution, creating AI-powered user-facing features, and optimizing model performance on hardware accelerators. Involves model adaptation, serving infrastructure, quality testing, and customization for specific domains. | ServePost-train | 8 |
| AI/ML Software Engineering Manager, Google Home Camera Lead an engineering team developing on-device machine learning models and ML pipelines for smart home cameras, managing the full lifecycle of AI-powered features with a focus on performance, power, latency, and thermal constraints on resource-constrained hardware. Responsibilities include driving ML deployment pipelines, managing trade-offs between model performance and hardware, and maintaining high engineering standards for C++ development in an embedded context. |
| ServePost-train |
| 8 |
| Senior Software Engineer, Cloud AI/ML Infrastructure Senior Software Engineer role focused on optimizing the performance, developing tools, and troubleshooting AI/ML training and inference workloads within Google's AI infrastructure. The role involves working with distributed computing, GPUs/TPUs, and ensuring the reliability and efficiency of AI services. | Serve | 8 |
| Senior Software Engineer, AI, TPU Infrastructure The Senior Software Engineer, AI, TPU Infrastructure role focuses on designing, developing, and validating TPU-based systems and building cloud compute software for TPU AI infrastructure. This role involves working with large-scale infrastructure and distributed systems to support AI model development and deployment. | Serve | 7 |
| Software Tech Lead, GPU, AI Infrastructure This role involves leading a team focused on developing and integrating system software for GPU-based AI/ML supercomputers in Google's data centers. The work includes designing, developing, testing, and debugging system software and networking technologies for accelerator products, with a focus on enabling AI/ML innovations for Google and its Cloud customers. The role requires interaction with various software and hardware components, collaboration with cross-functional teams, and setting team priorities and technical roadmaps. | 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 |
| Senior Software Engineer, AI, TPU, Infrastructure The role focuses on designing and implementing software for AI infrastructure, specifically connecting Tensor Processing Unit (TPU) clusters and cloud systems. It involves building and integrating cloud compute software to support AI development and deployment at scale. | Serve | 7 |
| Senior Software Engineer, Google Home Camera Senior Software Engineer for Google Home Camera, focusing on the camera stack and On-Device Machine Learning (ODML) framework for AI home security products. Responsible for end-to-end ownership of NPI projects, advancing computing technologies for consumer devices, and providing technical coaching. | ServePost-train | 7 |
| Senior Software Engineer, TPU, AI Infrastructure Senior Software Engineer role focused on developing firmware and software for Google's custom AI accelerators (TPUs). The role involves designing and building low-level C++ code for embedded micro-controllers on ASICs, co-designing hardware/software interfaces, developing tools for ASIC bring-up and debugging, building simulators, and architecting telemetry systems for monitoring TPUs. This position is crucial for enabling the development and scaling of AI models and infrastructure at Google. | 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 AI System Engineer Senior AI System Engineer role focused on influencing Tensor SoC architecture for AI/ML workloads on Pixel devices. This involves cross-functional collaboration with SW/HW architects and research teams to optimize for Power, Performance, and Area (PPA) trade-offs, enabling advanced Generative AI experiences. The role requires a data-driven approach using profiling, simulation, and modeling to define future SoC architectures and system design documentation. | Serve | 7 |
| Software Engineer III, AI Infrastructure, TPU, Cloud Storage Software Engineer III role focused on building and integrating Cloud Compute software to bootstrap TPU AI Infrastructure, including OS image deployment and node-specific software for computation offload, integrating with TPU clusters and cloud infrastructure. The role involves collaboration with TPU Software and Hardware teams and partnering with cross-functional leaders to shape ML infrastructure. | Serve | 7 |