Google

Engineering Manager for Operations Intelligence team, focused on building and leading a team to design, develop, and maintain systems and platforms that automate content life-cycle using data and automation, including ML/NLP and Generative AI.

Software Engineer role focused on the networking stack for Google Cloud's GPU, TPU, and HPC virtual machines. The role involves designing, developing, and delivering high-performance, reliable networking for customers training AI models and running demanding HPC workloads. This includes technical leadership, cross-team alignment, and enhancing large-scale software solutions for accelerator machines.

This role is a Policy Enforcement Manager for YouTube's Partner Program, focusing on strategy, operationalizing scalable policies, and mitigating brand risk. It involves working with cross-functional teams, reviewing sensitive content, and utilizing GenAI tools for abuse mitigation and enforcement. The role requires experience with LLMs in operations and SQL.

Staff Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application for both iPhone and Android, including its backend systems. The role involves full-stack development, architectural decisions, and driving innovation within the mobile offerings. While the company works on AI research, this specific role is centered on the application layer and integration of existing Google technologies for enterprise customers.

This role is for a Software Engineering Manager II at Google, focusing on Machine Management within the AI and Infrastructure team. The manager will lead engineers, set team priorities, develop technical roadmaps, guide system designs, and review code. The role involves managing multiple teams and a large product budget, overseeing large-scale projects, and contributing to product strategy. While the team works with AI and ML models, the core responsibility of this management role is not direct AI/ML development but rather the infrastructure and systems that support it.

Drive strategy around fostering a community of developers who work with Google AI technologies. Advocate for developers' needs internally and represent their interests to internal stakeholders. Write sample code and client libraries, participate in developer forums, and troubleshoot coding problems. Improve products by conveying feedback from developers, reviewing API designs, and testing new features.

Google is seeking a Software Engineering Manager for their Client Infrastructure team within Google Workspace. This role involves technical leadership, team management, and contributing to product strategy for a cloud-based productivity suite used by over 2 billion users. The team focuses on building integrations between Google Workspace products, particularly Google Chat, and leveraging AI to enhance productivity tools like email summaries, meeting summaries, and AI avatars. The manager will work with AI model builders and impact billions of users globally.

Software Engineer III for Google Pay's Business Mobile App, focusing on empowering SMBs with digital presence and growth tools. The role involves designing, developing, and maintaining mobile software using Flutter, collaborating with cross-functional teams, and leveraging AI tools to improve development workflows. The team aims to make payments simple, seamless, and secure.

Staff Software Engineer for Google Photos, focusing on mobile (Android) development. The role involves defining technical direction, collaborating on video editing features, improving software components, and debugging. While the core is mobile engineering, it touches on machine intelligence, computer vision, and LLMs within the context of a mature consumer product.

This role focuses on developing and executing partnership strategies to drive the adoption of Gemini for Education at universities and colleges. The individual will build and nurture an ecosystem of partners, act as an executive leader for Gemini in the academic community, and provide partner feedback to shape the product roadmap and scaling playbook.

Staff Software Engineer for Google Distributed Cloud Hosted (GDCag), focusing on building a scalable platform for air-gapped environments. The role involves defining and implementing Agentic AI opportunities for fault remediation, influencing security architecture, and collaborating with various teams to deliver the GDCag software stack. Requires extensive experience in software development, large-scale infrastructure, distributed systems, and cloud environments, with a focus on security and operational efficiency.

Senior UX Designer focused on the future of AI, specifically creativity and learning tools. This role involves leading the end-to-end design of next-generation AI products, transforming emerging AI research into tangible prototypes, and influencing product roadmaps. The position requires experience bringing generative AI-powered products to market and collaborating with cross-functional teams.

Senior UX Designer for Google's Health Devices team, focusing on Fitbit trackers and other wearables. The role involves designing user interfaces and experiences that transform health data into personalized narratives and actionable guidance, leveraging AI to create hyper-personal health solutions. Collaboration with Product Management, Engineering, and UX Researchers is key.

Senior Software Engineer role focused on AI and Infrastructure at Google, working on developing and scaling AI capabilities and underlying infrastructure. The role involves designing, developing, testing, and deploying software solutions that handle massive scale and support Google's AI innovations, including TPUs and Vertex AI.

Software Engineer role focused on improving data quality for LLMs within Google's Shopping Quality team. Responsibilities include writing code, design reviews, code reviews, documentation, and debugging. Requires experience with LLM data quality and preferred experience with ML models, data pipelines, and feature engineering.

Product Data Scientist role focused on optimizing Google's Payments products and solutions, specifically the Smart Router infrastructure which uses ML/AI for transaction processing. The role involves driving analytics for FOP optimization, influencing strategy, and collaborating with product and engineering teams to improve buyflows and conversion rates on platforms like Play and YouTube.

This role is for a Security Software Engineer focused on emerging on-prem AI infrastructure at Google. The engineer will work on operating system and hardware security features, design security solutions, and review code. While the role is within an AI-focused team and supports AI model development, the core responsibilities are in security engineering for infrastructure, not direct AI/ML model building or research.

This role focuses on identifying and addressing threats against Google Ads accounts, specifically in hijacking and scaled abuse. The analyst will use investigative, technical, and security skills to solve complex problems at scale, working closely with Engineering and Product teams to adapt defenses against new threat vectors. Responsibilities include delivering insights into account takeover threats, developing early warning alerts, leading incident responses, and collaborating with vendors to scale protection. The role also involves building, leveraging, and evaluating models and operations to combat cyber security and abuse issues.

This role focuses on applying AI/ML and analytics to solve product and business problems within Google Ads, specifically for AI Monetization. The individual will collaborate with stakeholders, design and evaluate models, gather data, and ensure data quality for analysis. The role requires experience with analytics, AI/ML technologies, and consumer-facing products, with a strong emphasis on quantitative skills and data manipulation.

Google is seeking a Senior Technical Program Manager II for their Machine Learning team within Google Cloud. This role focuses on managing complex, multi-disciplinary projects related to AI and Infrastructure at scale, empowering customers with breakthrough capabilities. The TPM will lead strategic planning, drive program performance, and act as a change advocate, working with cross-functional teams to deliver AI and infrastructure solutions.

Senior Product Manager for Google Cloud, focusing on enterprise solutions and AI/ML integration. The role involves driving product strategy, launching new products, and collaborating with cross-functional teams to deliver cloud services and solutions to the enterprise market.

Software Engineer role focused on performance, reliability, and observability tools for Google Cloud. Explores using ML for anomaly detection in control plane systems. Requires a PhD and experience in software development, large-scale infrastructure, and distributed systems. Experience with data analysis, big data, or machine learning is preferred.

This role is for a Hardware Validation Engineer supporting end-to-end testing for machine learning hardware in Google's data centers. The engineer will plan and execute tests, interface with design engineers, analyze results, and report bugs. The role involves using lab equipment for electrical, functional, performance, and reliability testing.

Software Engineer III, Infrastructure, Cloud AI at Google to improve the XLA compiler stack for ML models on TPU, GPU, and CPU hardware. Focus on enhancing compiler stability, usability, and productionizing integration with ML frameworks, supporting internal ML teams and Google Cloud offerings.

Google is seeking a Software Engineer III to work on AI-powered features for Google Workspace. The role involves developing next-generation technologies that enhance productivity tools like Gmail, Docs, and Meet, with a focus on building future AI capabilities. The engineer will collaborate with AI model builders and impact billions of users globally.

Product Manager for Google Cloud, focusing on enterprise AI and infrastructure. This role involves driving product strategy, defining and delivering cloud services, and developing product solutions for the enterprise market. The position is within the AI and Infrastructure team, which aims to empower customers with AI capabilities at scale.

Google is seeking a Software Engineer with a PhD for their AI and Infrastructure team in Taipei. This role focuses on developing and scaling AI and infrastructure capabilities for Google customers, including internal teams, Google Cloud customers, and end-users worldwide. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. The role requires a PhD in Computer Science or equivalent, and experience with C, C++, Java, or Python, and distributed systems. Experience with performance analysis, large-scale systems, and debugging is preferred.

Software Engineer III on the AI and Infrastructure team at Google, focusing on building and scaling the infrastructure that powers AI models and services. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires experience in C++, Python, or Go, and large-scale infrastructure/distributed systems. Preferred qualifications include a Master's/PhD, performance analysis, and data structures/algorithms.

This role is for a Software Engineering Manager II on the AI and Infrastructure team within Google Cloud Compute. The manager will lead teams responsible for delivering AI and Infrastructure at scale, supporting Google's AI models and global services. Responsibilities include setting team priorities, developing technical roadmaps, guiding system designs, and managing engineers. The role requires significant experience in software development, large-scale infrastructure, and technical/people leadership.

Product Manager for Generative AI on Google Cloud Platform, focusing on developing and launching AI-driven experiences and solutions. The role involves leading product roadmaps, collaborating with engineering and design teams, and staying updated on the latest Generative AI technologies to evolve product offerings and solve critical business problems for enterprise customers.

Google is seeking PhD graduates for Software Engineer roles focusing on developing next-generation technologies. This role involves contributing to large-scale systems across various domains, including AI and Infrastructure, Cloud, and more. The position requires strong software engineering skills, research expertise, and the ability to work on critical projects, potentially switching teams and projects as the business evolves. The role emphasizes versatility, leadership, and problem-solving across the full stack.

Software Engineer role focused on performance, reliability, and observability tools for Google Cloud control plane systems. The role involves analyzing VM performance, developing performance models, designing benchmarks, and exploring the use of machine learning for anomaly detection. While the core is engineering and performance analysis, there's an exploration component involving ML for anomaly detection.

Google is seeking a Senior Software Engineer for their Platforms Infrastructure Engineering team. This role focuses on developing and enhancing large-scale infrastructure, distributed systems, and networks that support Google's AI models and services. The engineer will write and test code, participate in design reviews, review code from peers, contribute to documentation, and triage/debug system issues. The role requires experience in C++, Python, or Go, and a strong background in large-scale infrastructure or distributed systems.

Google is seeking a Senior Software Engineer to join their AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves designing, developing, testing, and maintaining software solutions for large-scale systems, distributed computing, and AI model development platforms. This position requires strong software engineering skills in languages like C++, C, or Python, and experience with infrastructure, distributed systems, or compute technologies.

Software Engineer III, Full Stack role within Google Cloud's AI and Infrastructure team, focusing on building and enhancing large-scale AI and infrastructure solutions that empower Google customers and users worldwide. The role involves full-stack development, managing project priorities, and contributing to the innovation of hyperscale computing technologies.

Staff Software Engineer role at Google Cloud, focusing on AI and Infrastructure. The role involves providing technical leadership, managing projects, and designing/developing large-scale software solutions that support Google's AI models and infrastructure. While the team works with AI, the core responsibilities are in software engineering and infrastructure, not direct AI/ML model development.

This role focuses on applying advanced statistical methods, particularly causal inference and differential privacy, to design experiments, assess attribution, and develop privacy-preserving marketing products within Google's advertising ecosystem. The lead will translate these methodologies into deployed products, provide technical guidance, and shape global strategies. While ML is mentioned as a preferred qualification, the core focus is on statistical analysis and causal inference for measurement and product development, not core AI/ML model building.

This role focuses on applying data science and advanced analytics to marketing challenges within Google's Business Operations team. Responsibilities include supporting media strategy, measurement, and optimization, developing evaluation frameworks, and identifying performance predictors. The role requires experience in analytics, coding, and managing brand measurement frameworks like MMM and MTA.

This role is a Technical Solutions Consultant at Google Cloud, focusing on advising customers on cloud solution implementations. While it involves some experience with model deployment and fine-tuning, its core function is customer-facing technical consulting and solution architecture, not direct AI/ML model development or research.

This role focuses on building and implementing ML networking infrastructure for Google Cloud, specifically enhancing GPU-to-GPU communication and enabling ML workloads. While it supports ML, the core craft is in networking infrastructure and engineering, not direct AI/ML model development.

Firmware Engineer for Google Pixel's cellular protocol stack, focusing on RRC protocol development and optimization. The role involves AI-based tool development for process automation and performance improvement, alongside traditional firmware engineering tasks.

Software Engineering Manager for Google Cloud Platforms Release Engineering in Taipei. This role focuses on managing a team of engineers to ensure the quality, scalability, and performance of platform system software for Google data centers, including computation, storage, and accelerators. The manager will lead software qualification and release pipelines, collaborate with cross-functional teams, and adopt AI technologies to enhance test engineering productivity. The role requires strong technical leadership, people management, and experience in software development, testing, and release management.

This role focuses on developing and scaling strategies to leverage AI for client pain points and internal efficiency, working within Google's Global Business Solutions team to drive international growth for businesses. It involves C-level engagement, designing solutions, and collaborating with sales teams.

Senior Staff DSP Design Engineer role focused on developing custom silicon solutions for Google's direct-to-consumer products and Google Cloud. The role involves defining roadmaps for high-speed data paths, evaluating technologies like Co-Packaged Optics (CPO), advanced modulation formats, and Forward Error Correction (FEC) for AI computing clusters. Responsibilities include identifying limits of DSP architectures, defining requirements for DSP test chips, driving power-reduction roadmaps, and representing Google in industry standards bodies.

iOS Software Engineer for the Search team in Google Photos, building user experiences for over a billion users. Focuses on client-side development, modernizing codebases, and enabling feature launches.

This role is for a Senior Firmware Engineer focused on the Layer 3 Cellular Protocol Stack within the Pixel Mobile Wireless (PMW) team. The engineer will design, develop, and optimize the RRC protocol stack, including research of RRC layer features, analysis of RRC layer issues, and AI-based tool development for call performance analysis. The role involves cross-layer collaboration and optimizing processes using AI-related strategies for automation in issue analysis and testing. While AI tools are mentioned for optimization, the core deliverable is firmware for the RRC protocol stack, not AI models or agents themselves.

Senior Software Engineer focused on performance tuning and optimization for TV systems and devices. The role involves leading performance tuning for partner launches, optimizing reference designs, evolving Gemini-assisted tools for performance analysis, evaluating industry shifts, and collaborating with hardware providers and cross-functional teams for system-level optimizations. Requires experience in software development, Android application development, and performance/large-scale systems data analysis.

Google is seeking a PhD Software Engineer for their AI and Infrastructure (AI2) organization in Bengaluru. This role focuses on developing next-generation storage architectures, backup, and replication solutions. The engineer will drive research initiatives, improve system reliability and performance, and collaborate with stakeholders. The position requires a PhD in a related technical field and experience in data storage, distributed systems, and research publication. While the role is within an AI/ML-focused organization, the core responsibilities are in data storage and distributed systems engineering, not direct AI model development.