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 |
|---|---|---|
| Silicon Engineer, Platform and Devices, University Graduate, 2026 Google's Consumer Hardware Silicon division is seeking Silicon Engineers to design, develop, and deploy consumer hardware, including chips optimized for machine learning, imaging, video, and security. The role involves working on ASIC/SoC design, verification, and implementation, collaborating with cross-functional teams in a fast-paced, product-oriented environment. | — | 0 |
| Software Engineer III, Google Cloud Software Engineer III role at Google Cloud, focusing on developing and enhancing software solutions for cloud products. The role involves managing project priorities, designing, developing, testing, deploying, and maintaining software. While AI/ML is mentioned as a technology area within Google Cloud, the core responsibilities are general software engineering for cloud services, not direct AI/ML model development or research. | — | 0 |
| Software Engineer III, Networking, Google Cloud |
| — |
| 0 |
| Senior Software Engineer, HighTide This role is for a Senior Software Engineer focused on optimizing Google's Electronic Design Automation (EDA) toolchain, particularly for synthesis and place/route optimization. The engineer will identify and close critical gaps, propose and implement solutions, work with open-source contributors, and collaborate with various Google teams (GDM, Cloud, gChips, YouTube, Waymo) to improve Google hardware. The role involves teaching and mentoring others in EDA compiler optimization and requires strong software development skills in C++, algorithms, and data structures, with a preference for advanced degrees and familiarity with EDA tooling. | — | 0 |
| Service Delivery Manager, gTech Ads This role is for a Service Delivery Manager in gTech Ads, responsible for leading customer support operations for Google's large and medium ads customers. The focus is on achieving key performance metrics, driving strategic improvements, and collaborating with cross-functional teams. While the role mentions understanding AI/ML applications in support operations as a preferred qualification, the core responsibilities are centered around operational management and customer service within the advertising product domain, not direct AI/ML development or research. | — | 0 |
| Software Engineer, PhD, Early Career, Networking, 2026 Start Software Engineer role focused on developing kernel drivers for networking hardware (IPUs/NICs) within Google Cloud, ensuring system scale, reliability, and performance. Requires a PhD in a related technical field and experience in C, C++, Java, or Golang, with a focus on large-scale distributed systems and networking. | — | 0 |
| Senior Software Engineer, Google Cloud This role is for a Senior Software Engineer at Google Cloud, focusing on developing and enhancing software solutions. The role involves writing and testing code, participating in design reviews, reviewing code from peers, triaging and debugging issues, and contributing to documentation. The ideal candidate has a Bachelor's degree and 5 years of software development experience, with preferred qualifications including a Master's degree, experience with data structures/algorithms, and technical leadership. | — | 0 |
| Software Engineer III, Google Cloud Software Engineer III at Google Cloud, working on the AI and Infrastructure team. This role involves developing and enhancing software solutions that deliver AI and Infrastructure at scale, supporting Google customers and billions of users. The team shapes the future of hyperscale computing by inventing new technologies and contributing to Google's infrastructure, including Vertex AI. | — | 0 |
| Software Engineer, PhD, Early Career, 2026 | — | — |
| Software Engineer Manager, Google Cloud Business Platform | — | — |
| Silicon Digital Design Engineer | — | — |
| Software Engineer II, Embedded Systems/Firmware | — | — |
| Software Engineer Manager II, Embedded Systems/Firmware | — | — |
| Staff Software Engineer, Storage AI/ML | — | — |