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 |
|---|---|---|
| Principal Virologist, Responsible Development and Innovation, DeepMind This role focuses on evaluating AI models for biological threats, integrating scientific insights into safety frameworks, and shaping biosecurity mitigation strategies. The Principal Virologist will partner with AI researchers and engineers to embed biosecurity protocols and conduct advanced biology evaluations against AI models. | — | 5 |
| Senior Research Scientist, Superconducting Qubit Measurement, Quantum AI Research Scientist role focused on millikelvin measurements of superconducting circuits for quantum computing, including calibration of qubit gates and readout. The role involves close collaboration with design and fabrication teams to improve device performance and build integrated chip stacks. Responsibilities include calibrating and characterizing qubits, building control and analysis software, designing control schemes, partnering with other teams, and publishing research findings. | — | 0 |
| Senior Research Scientist, Neutral Atoms Control Electronics, Quantum AI Research Scientist role focused on designing and implementing control electronics for neutral-atom-based quantum processors within Google Quantum AI. The role involves architecting, developing, testing, and deploying electronic control systems, collaborating with cross-functional teams and vendors, and contributing to the advancement of quantum computing capabilities. |
| — |
| 0 |
| Research Scientist, Neutral Atoms, Quantum AI Research Scientist focused on building a fault-tolerant quantum computer using neutral atoms, involving hardware design, error modeling, and experimental setup. The role emphasizes fundamental research, publishing findings, and collaborating within the quantum computing field. | — | 0 |
| Research Scientist, Optical Engineering Neutral Atoms, Quantum AI Research Scientist focused on optical engineering for quantum AI, involving the design, testing, and scaling of optical systems for neutral atom manipulation. The role contributes to the quantum computing roadmap and involves publishing research findings. | — | 0 |
| Senior UX Researcher, Hardware UX Researcher for Google's Hardware team, focusing on user needs and product development through various research methods. Collaborates with cross-functional teams to create helpful experiences. | — | 0 |
| Research Scientist, Quantum Error Correction, Quantum AI Research Scientist role focused on developing quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically for superconducting qubits and high-connectivity platforms. Responsibilities include developing QEC for modular architectures, analyzing fault-tolerant circuits, and engineering decoding algorithms for LDPC codes. The role also involves publishing findings and collaborating with research institutions. | — | 0 |
| Quantum Error Correction Metrologist, Quantum AI Research Scientist role at Google Quantum AI focused on quantum error correction. Responsibilities include designing and executing experiments to identify error mechanisms, developing data analysis tools for quantum datasets, and collaborating with qubit design and theory teams. Requires a PhD in Physics or related field, Python experience, and a publication record. Preferred qualifications include experience with quantum device control and QEC experiments. | — | 0 |
| Senior Staff Research Scientist, Quantum Error Correction, Quantum AI Senior researcher in Quantum AI focusing on quantum error correction, developing new quantum codes and constructions for non-clifford logical gates, and analyzing fault-tolerant circuits. The role involves setting research agendas, publishing findings, and contributing to the development of large-scale quantum computers. | — | 0 |
| Mechanical Engineer, Cooling System Design and Analysis Mechanical Engineer focused on the design, analysis, and optimization of data center cooling systems, utilizing modeling and simulation tools to improve performance and explore new technologies. The role involves cross-functional collaboration and technical documentation. | — | 0 |