Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers in deploying bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles related to AI adoption.

Software Engineer on the Acceleration Platform Team building scalable, AI-native agentic systems to automate complex workflows and solve enterprise-scale engineering problems. The role involves leading zero-to-one initiatives, defining AI-first engineering best practices, scaling evaluations and guardrails for AI safety, and building advanced telemetry for debugging and optimizing self-supporting behaviors.

Software Engineer on the Acceleration Platform team in Singapore, responsible for designing and implementing AI-native agentic systems to eliminate developer toil. The role involves leading zero-to-one technical initiatives, building scalable frameworks for self-sustaining AI at an enterprise scale, and mentoring junior peers. Responsibilities include designing systems where AI agents reason and execute workflows, blending traditional software development with prompt engineering and RAG, creating evaluation pipelines for AI performance, and troubleshooting non-deterministic AI behaviors.

Staff Software Engineer at Google focused on Content Safety, Productionization. This role involves safeguarding business-critical products, including GenAI experiences, by designing, building, and scaling content safety solutions like classifiers and multimodal understanding. Key responsibilities include working on agentic workflows for threat understanding and content moderation, leading ML solution design, optimizing ML infrastructure, and guiding model optimization and data processing strategies. The role requires significant experience in software development, ML infrastructure, and ML design, with a focus on productionizing AI for safety.

Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization.

Forward Deployed Engineer II, Generative AI, Google Cloud. This role involves building and shipping production-grade agentic AI solutions within customer environments, managing integration complexities, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to product roadmaps. Requires experience with Python/Typescript, building AI solutions, data pipelines with vector databases/RAG, and cloud platforms. Preferred experience with multi-agent frameworks and LLM optimization techniques.

Software Engineering Manager for Google Cloud's ML Compute Services, focusing on optimizing customer AI/ML models on Google Cloud infrastructure. The role involves leading a team, providing technical guidance, partnering with customers on performance, and collaborating with internal teams to enhance AI workload support.

Senior Software Engineer to lead the design and development of end-to-end testing solutions using AI-powered humanoid robots. The role involves creating agents that physically interact with devices to validate user experiences and run exploratory tests, integrating hardware, embedded software, and AI models, and collaborating with AI and robotics teams.

Software Engineer focused on AI internationalization and evaluations for Pixel and Android. Responsibilities include leading R&D for AI feature expansion, quality evaluations, and rater quality using on-device and server-based models. Tasks involve creating auto-raters, ensuring metric consistency, establishing benchmarks, and collaborating with AI feature teams. The role also involves identifying opportunities and leading roadmaps to scale language capabilities and improve model evaluation processes.

Senior Software Engineer, Machine Learning, Debug role focused on developing and deploying deep learning models for mosquito-born disease eradication. This involves computer vision for analyzing mosquitoes, statistical modeling for population dynamics, and building production-ready code for scalable deployment, with a focus on optimizing vector control strategies.

Software Engineer role focused on building an AI-native Software Development Lifecycle (SDLC) ecosystem for Android and Pixel. The role involves developing intelligent tools, automation, and evaluation methodologies, leveraging on-device and cloud-based AI technologies, including LLMs and multi-agent systems, to optimize functionality, stability, and release velocity.

Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats.

Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations.

This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data in the context of AI adoption. The team will develop novel approaches and use AI-motivated automation to manage AI enterprise security risks and enable safe enterprise use of AI, particularly agentic AI workflows.

Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration.

Senior Customer Engineer focused on AI infrastructure, specifically Google Cloud TPUs, for enterprise clients. This role involves designing, deploying, and optimizing AI training and inferencing solutions, advising on ML operations, and supporting sales teams by solving technical challenges related to AI hardware and software stacks.

Customer Engineer role focused on deploying and scaling Gemini Enterprise AI workloads for enterprise customers, involving technical unblocking, deployment planning, and driving adoption of AI-assisted workflows and multi-modal agents.

Senior Software Engineer role focused on building AI-based security controls to prevent data exfiltration, specifically addressing threats from autonomous AI agentic actions within Google's enterprise systems.

Software Engineering Manager for Content Safety, focusing on AI/ML infrastructure and deployment for protecting users from harmful content. The role involves leading teams, setting technical direction, and ensuring the scalability and reliability of ML systems.

Manage a team of software engineers to build and scale content safety solutions using ML/AI techniques for Google's core products, focusing on protecting users from harmful content. This involves technical leadership, people management, and ensuring the production-grade deployment and operation of these safety systems.

Technical Program Manager for Generative AI Safety at Google, focusing on leading initiatives to expand content safety infrastructure, integrate safety classifiers, and build rapid response capabilities for AI abuse. The role involves partnering with cross-functional leaders to convert threat intelligence into scalable models and technical protections within the serving stack, orchestrating safety engineering teams, and managing global workflows for timely integration and evaluation of safety models for Gemini releases. This role also coordinates with infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models.

Software Engineer role focused on building and scaling content safety platforms using ML infrastructure and responsible AI techniques to protect users from harmful content. The role involves designing, building, and maintaining these platforms, ensuring quality implementations of company-wide standards for Responsible AI, and collaborating with stakeholders. It requires experience in software development, ML infrastructure, and potentially speech/audio or reinforcement learning.

Software Engineer role focused on designing, building, and maintaining content safety solutions for Google's business-critical products. This involves implementing Responsible AI standards, protecting users from harmful content using ML/AI techniques, and ensuring quality through classifiers and classifiers. The role requires production-grade experience in serving infrastructure and product integrations, with a focus on delivering scalable and future-proof solutions.

This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, propose guardrails, and advise on mitigating risks associated with AI use, drawing on existing security engineering knowledge and adapting it to the AI context. The role is within the Enterprise Security AI team, contributing to secure AI development and use across the company.

Software Engineer II, Enterprise Data Protection at Google, Singapore. This role focuses on building software systems to prevent data exfiltration of intellectual property, including threats from human or autonomous AI agentic actions. The engineer will design, test, deploy, and maintain these security controls across various Google systems. The role requires experience in full-stack development and has a preference for experience in security, machine learning, distributed systems, or AI, specifically agentic software engineering.

Director of Customer Engineering for AI Infrastructure in APAC, leading a team to drive adoption of Google Cloud's AI technology and infrastructure (GPUs, TPUs) by supporting sales, working with customers, and collaborating with product management. The role involves developing strategies, presenting value propositions, identifying industry trends, and ensuring the technical and commercial competitiveness of Google Cloud AI products.

Senior Software Engineer role focused on developing tools and systems for product security, with a specific emphasis on AI agents. The role involves designing and implementing Go and Python AI agents, building features on internal systems, and contributing to technical roadmaps. Experience with AI and security assessments is preferred.

Software Engineer II for Google Pay for Business, focusing on empowering SMBs with intuitive tools. The role involves designing, developing, testing, deploying, and maintaining mobile software (user-facing apps and server-side APIs) using Flutter. It emphasizes collaboration with product managers and designers, writing high-quality code, and advocating for product excellence. The team uses AI tools to enhance development workflows and ensure complex technology feels simple for merchants. The role is within the Payments team, focused on making payments simple, seamless, and secure.

Staff Software Engineer role at Google focused on Ads Campaign Automation, leveraging Generative AI for asset generation and optimizing ad serving, bidding, and retrieval systems. Requires strong experience in ads buying platforms, large-scale distributed systems, and the Google ads ecosystem, with fluency in Mandarin for regional collaboration.

This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, implement guardrails, and advise on mitigating risks associated with AI use within Google's products and third-party AI products.

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.

Senior Software Engineer role focused on building full-stack software for automating and managing workflows related to mosquito-borne disease control. Responsibilities include developing automation for server management, building data pipelines and analytics dashboards, and driving DevOps practices. Requires experience in full-stack development and cloud platform software development, with preferred experience in Machine Learning or computer vision.

Staff Software Engineer, Full Stack, Debug at Google in Singapore. This role focuses on developing full-stack software for orchestrating automated and manual workflows related to mosquito-borne disease control, including raising and releasing sterile mosquitoes. Responsibilities include leading engineers, collaborating on automation systems, building data pipelines and analytics dashboards, driving DevOps practices, and developing automation for server management on-premises and GCP.

Software Engineer III role focused on developing full-stack software for industrial automation in a mosquito factory, integrating on-premises systems with Google Cloud Platform. Responsibilities include building workflow orchestration, server automation, data pipelines, and driving DevOps practices. Requires experience in full-stack development and preferred experience in ML or computer vision.

Google is seeking a Software Engineering Manager for Wallet First Party Integrations in Singapore. This role involves technical leadership, team management, and defining strategic objectives for Wallet integrations. The manager will mentor engineers, define technical direction, and partner with cross-functional teams to ensure the growth and scaling of Wallet integration infrastructure. The role requires experience in software development, full-stack development, technical leadership, people management, and machine learning/AI algorithms.

Software Engineer III at Google Pay and Wallet, responsible for designing, developing, maintaining, and improving solutions for global business payment journeys. The role involves full-stack development, unit testing, integration, and end-to-end service lifecycle management including productionization, monitoring, and alerting. Requires experience with Java, C/C++, or JavaScript and a strong foundation in computer science principles.

Software Engineer II at Google Pay and Wallet, responsible for designing, developing, maintaining, and improving solutions for global business payment journeys. The role involves full-stack development, unit testing, integration, and end-to-end service lifecycle management including productionization, monitoring, alerting, and on-call rotations. Requires experience in software development, full-stack environments, and large-scale application design.

Software Engineer at Google Ads responsible for developing and scaling advertising solutions, focusing on performance, privacy, and system reliability. This role involves diving deep into complex systems, leading the full software development lifecycle, and resolving technical issues within production environments.

Software Engineer role focused on improving the security of open source software supply chains by building tools for understanding, improving, and securely releasing open source software. The role involves finding security vulnerabilities and advocating for secure practices within Google and the wider open source community.

Manage a team of software engineers focused on securing the global open-source supply chain by developing insights into software dependencies and integrating them into Google’s software factory. Oversee the development of open-source projects and APIs for transparency and security tools.

Senior Software Engineer at Google Pay and Wallet in Singapore, focusing on designing, developing, and maintaining solutions for global business payment journeys. The role involves full-stack development, technical design, implementation, and collaboration across various internal teams to achieve Google Pay's vision. Requires 5 years of software development experience, with preferred qualifications in data structures, algorithms, and system design.

Software Engineer role at Google Pay in Singapore, focusing on building and scaling core features for over 250 million users. The role involves end-to-end ownership of product areas, driving engagement and revenue through feature development, and ensuring payments are simple, seamless, and secure.

Software Engineering Manager for the Google Wallet App team, focusing on building new features, managing engineers, and driving product strategy for the Android application. The role involves technical leadership, cross-functional collaboration, and ensuring the scalability and evolution of the Wallet platform.

Staff Software Engineer role focused on developing and enhancing large-scale software solutions for Google's Digital Identity and Payments teams, leveraging ISO and OpenId standards for digital credentials. The role involves technical leadership, project management, and cross-functional alignment.

Senior Software Engineer role focused on audience targeting features for App Ads, enhancing predictive model performance and advertiser ROI. This role involves end-to-end ownership, roadmap development, and backend development within the Google Ads ecosystem, adhering to privacy and policy regulations.

Customer Engineer for Google Cloud Platform, focusing on technical sales, solution architecture, and customer engagement to drive adoption of GCP services. This role involves understanding customer business needs, architecting solutions, and supporting technical wins and delivery plans.

Senior Software Engineer role focused on core Google Compute Engine storage connectivity features, high-speed access to local and network-based storage, and designing/implementing solutions for high-performance network storage across a virtualized interface. The role involves partnering with storage layer teams to resolve performance bottlenecks and improve bandwidth/latency for Google Cloud customers. Requires strong software development, testing, and debugging skills for large-scale infrastructure and distributed systems.

Software Engineer role at Google Wallet focusing on building digital transit card solutions and payment technologies. The role involves full-stack development, collaboration with various teams and external partners, and working with Android platform features. Experience with software development, full-stack development, and Android internals is required.