Google

Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience. 5 years of experience in reading or debugging code with one or more of the following: Java, C, C++, Python or JavaScript. 5 years of experience troubleshooting and advocating for customers needs, and triaging technical issues (e.g., hardware, software, application, operational, process). Experience with web technologies (HTTP, HTML, DNS, etc.). Experience in system or network administrator level in Linux/Unix or operating systems. Ability to work non-standard hours and differing work rotations or shifts as required. Preferred qualifications: 5 years of experience with designing or managing the distributed systems. Experience with managing hosted services or Software-as-a-Service (SaaS). Experience using packet capture/packet analysis, artificial packet creation, load testing, traffic path analysis to troubleshoot network latency, packet loss, and other issues. Experience in using SQL-like queries to analyze the datasets of logs, extracting insights for performance monitoring, troubleshooting, and security investigations. Understanding of one or more Internet technologies: web-tech (e.g., HTTP, DNS, TLS), email (e.g., SMTP, anti-spam, anti-phishing), networking (e.g., routing, TCP/IP), IP telephony (e.g., SIP, H323), Identity (e.g., AD, SSO, OAuth, AuthSub) and HTML5. About the job In this role, you will be part of a Global team that provides 24x7 support to help customers make the switch to Google Cloud. When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to swiftly resolve the issue with as little customer effort as possible. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Workspace. Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis, for quicker identification and resolution of future issues. Act as a consultant and subject-matter-expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as part of a team of Engineers/Consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours or shifts. Understand customer issues and advocate for their needs with cross-functional teams like Product Management or Software Engineering. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: 8 years of experience leading an embedded or firmware development team. Experience with embedded software or firmware development in C/C++. Experience with bringing up bare-metal environments on SoCs. Experience in leading firmware debugs on silicon and usage of debug tools such as TRACE32, OpenOCD, etc. Preferred qualifications: Experience with ARM and RISC-V architectures. Experience in using emulation platforms for firmware enablement, validation, and debug. Experience in industry standard software development practices and agile methodologies. Understanding of SoC architecture and interfaces (e.g., AXI, DDR, PCIe, etc.). About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Build, manage and lead the team responsible for firmware and infrastructure development to enable bring-up and validation of the AI/ML SoC designs. Lead and enable the team to develop embedded firmware, bare metal tests and low-level debug tools for pre and post-silicon validation of SoCs. Exercise these capabilities on emulation, simulation and silicon platforms. Co-work with architecture, design and verification teams and enable Hardware-Software co-design. Engage with the silicon design team at a very early stage and drive integration validation and firmware features enablement as the silicon development progresses. Work with post-silicon and platform hardware teams to ensure silicon enablement and support silicon debugs. Drive all the people management functions including, but not limited to, hiring, people development, prioritizing and managing resources to achieve project execution timelines. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in either system design or reading code (e.g., Java, C++, Python). Experience in technical project management, stakeholder management, solution engineering, or technical consulting. Preferred qualifications: Experience with the ad serving industry and internet technologies. Experience with Android development. Ability to absorb technical concepts and convey them to a non-technical audience. Excellent data analysis and decision-making skills. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. As a Product Solutions Engineer, you will manage technical relationships for publisher clients and product partners. You will lead cross-functional teams in Engineering, Sales, and Product Management to leverage emerging technologies, overseeing the technical execution of Google's online advertising platforms from concept design to support. You will balance business needs with technical constraints to develop innovative solutions, build tools, and prioritize product strategy.In this role, you will engage with digital companies, app developers, and broadcasters to drive business growth and influence product design. You will work with sales teams as a product expert and technical consultant and utilize insights to help publishers build and grow their businesses through Google's ad products.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Help partners in their day-to-day challenges by delivering innovative and scalable solutions to their problems, troubleshooting their issues, and performing implementation reviews. Advocate for new product features and ensure the prompt and proper resolution of technical challenges. Represent clients’ feedback on features to product management and engineering to improve product offerings. Ensure client satisfaction (both new and ongoing) in terms of technical aspects by providing necessary documentation and technical guidance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment. Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols. Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting. Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Preferred qualifications: Bachelor's degree or equivalent practical experience. Certification in the online Google IT Support Professional Certificate program. 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols. Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc). Experience working within a data center or network operation center environment. Ability to collaborate and partner with teams to overcome challenges, and to adapt to changes in a dynamic work environment. About the jobGoogle isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Deploy and operate new data center infrastructure across projects or functions. Report issues and follow data center procedures to troubleshoot and diagnose issues with equipment or infrastructure as they arise, and apply the resources needed to resolve identified issues. Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards. Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting. Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 8 years of experience with formal verification in SystemVerilog and SystemVerilog Assertion. Experience leading formal verification for IPs/sub-systems. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science with an emphasis on computer architecture. Experience in Formal Property Verification (FPV) with a proven track record of developing comprehensive property suites for high-complexity designs. Experience in low-power design verification. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Plan the formal verification strategy and create the properties and constraints for complex digital design blocks. Lead a team of formal verification specialists while maintaining ownership of sign-off for critical, high-complexity modules. Utilize formal tools to prove complex properties and achieve formal closure on massive state-space designs. Contribute improvements to methodologies to enhance formal verification results. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in management consulting, sales operations, business strategy, investment banking roles, or digital ads sales. Preferred qualifications: Ability to drive and execute the strategy and operations. Ability to collaborate, bring ideas to the team, and partner with stakeholders. Ability to grow in a fluid and ambiguous environment. Ability to articulate problem statements in a simple way, perform data analysis, and provide recommendations along with excellent problem-solving skills. Excellent communication and influencing skills. About the jobAs a Strategy and Operations Lead, you will provide business critical insights and recommendations that support leadership decision making, cross-functional alignment of goals and expectations, and help teams to execute plans and operate. You will develop and drive business strategy in collaboration with our business partners, acting as both a trusted advisor and subject matter expert. You will run the business framework, help the organization navigate the complexities of systems and tools, and collaborate with cross-functional teams to solve problems, and design, manage, and deliver projects against operational standards. As a Go-to-Market (GTM) team member, you will help to set the focus, pace and direction of our business across teams to deliver on business opportunities by advocating, testing, and enabling our sales organization.You will focus on partnering with the Large Customer Sales (LCS) organization.Responsibilities Develop forward-looking plans, and deliver insights and recommendations that shape our go-to-market strategy in LCS. Define and solve problems/opportunities that impact the LCS business. Establish and maintain business frameworks and stakeholder relationships to deliver together on priorities and operational best practices. Develop marketplace intelligence and insights to help drive customer centricity and seller enablement. Perform analysis and modeling to identify trends and opportunities, structure and communicate output to influence stakeholders. Identify process gaps and opportunities for process improvement, supporting the needs of the team and stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architectures and modern cloud infrastructure with networking - switching/routing for ethernet/RoCE/infiniband, in customer-facing or support roles. Experience developing and deploying models using deep learning frameworks (TensorFlow, PyTorch, or JAX). Preferred qualifications: Master's degree in Computer Science, Mathematics, a related technical field. Experience as an IT infrastructure consultant or enterprise architect working in data center investment strategies and proposals. Experience with AI Infrastructure systems, networking technologies (e.g., DPU, RoCE, InfiniBand), cooling, and accelerators, GPUs and TPUs. Experience in leveraging main AI and software stacks and platforms to bring up and deploy AI compute clusters. Knowledge of the AI infrastructure market, including main technology providers, differentiators and trends. Ability to work and grow in fluid environments. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. In this role, you will understand the needs of our customers and help shape the future using AI technology. You will work with Google Cloud Platform's technology and complete AI stack and position the same to our customers in all verticals. You will support Google Cloud sales teams to pilot, and deploy Google Cloud’s industry leading AI/ML accelerators (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups. You will help customers innovate with solutions using Google Cloud’s flexible and open AI infrastructure.You will be working with Google customers on AI Infrastructure server and networking infrastructure deployments. You will guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster/cooling deployments. You will need to visit the customer data center during the bring up phase. You will serve as a technical expert on the Google Cloud AI infrastructure, specifically guiding customers through the architecture, deployment, and optimization of large-scale, cost-efficient training and inference jobs on Cloud TPUs.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Become a trusted advisor to the top customers, helping them understand and incorporate AI accelerators into their overall cloud and IT strategy by designing training and inferencing platforms, using the accelerators Google Cloud has to offer. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and bench marking. Design and implement complex, multi-host AI training and inferencing solutions on Google Cloud TPUs, focusing on scalability and performance tuning. Conduct performance profiling and optimization of customer models and data pipelines for the TPU architecture, identifying and resolving bottlenecks. Advise customers on best practices for integrating their MLOps workflows with the Google Cloud AI Platform ecosystem for TPU utilization. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's, Master's, or Dual degree in Electrical, Electronics and Communication Engineering, a relevant technical field, or equivalent practical experience. Experience with design concepts and computer hardware architecture. Preferred qualifications: Internship work, work experience, or personal project experience outside the classroom in Hardware, Electrical Engineering or Mechanical Engineering. Experience in one or more of the following areas: SoC/ASIC Design, Design Verification, Physical Design, Design for Testability. Experience with Verilog/HDL or System Verilog coding. About the jobGoogle engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step. Google's Consumer Hardware Silicon division builds chips optimized for Google-branded consumer devices. Our product areas include imaging, machine learning, video, and security. We aim to build a team with talent that resonates with Google's culture of innovation and fun.As a Silicon Engineer, you will design, develop, and deploy consumer hardware. As a member of a fast-paced multi-disciplinary team, you will use your creativity and various range of engineering experience to explore solutions to a variety of engineering problems. Additionally, you will participate in the design, analysis, and prototyping of new concepts. You will also work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture.The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Work with the SoC teams to develop power and performance optimized chips. Contribute to the design, verification, and silicon implementation of ASICs and SoCs. Work on design concepts around CPUs, image processing, machine learning, computer vision, security, and video. Collaborate with teams in automating the SoC design flows. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), Machine Learning (ML) infrastructure, or specialization in a related ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Experience with Responsible AI or safety-adjacent fields, such as factuality, or product policy. Experience in content safety applied to software products. Experience in scaling pipelines, deploying systems, and designing defensive architecture to meet Service Level Objectives (SLOs). Knowledge of machine learning and Large Language Model (LLMs), and transformers, activations, and how to train and deploy them. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Content Safety organization in Core provides safety solutions that protect Google’s users from exposure to offensive, sensitive or harmful content. The team unblock and accelerate Google's product launches by providing quality implementations of company-wide standards for Responsible Artificial Intelligence (AI). The team combines subject matter expertise in the content safety domain and a practice of machine learning and AI-based techniques with the production-grade experience in serving infrastructure and product integrations to protect users from harm, maintain Google’s engagement in the area of online safety across the industry, and make foundational models and the internet safer for society.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Design, build, maintain content safety solutions to safeguard business-critical products for Google. Deliver quality and future-proof content safety solutions that combine content safety protection. Protect users from exposures to offensive, sensitive or harmful content, and unlock new opportunities for the business by building and maintaining classifiers. Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Machine Learning (ML) infrastructure, or specialization in a related ML field. 5 years of experience in leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Experience in content safety applied to software products. Experience in Responsible AI or safety-adjacent fields, such as factuality, or product policy. Experience in scaling pipelines, deploying systems, and designing defensive architecture to meet Service Level Objectives (SLOs). Knowledge of machine learning and Large Language Models (LLMs), and concepts of transformers, activations, and how to train and deploy them. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.The Content Safety organization in Core provides safety solutions that protect Google’s users from exposure to offensive, sensitive or harmful content. The team combines subject matter expertise in the content safety domain and a practice of machine learning and AI-based techniques with the production-grade experience in serving infrastructure and product integrations to protect users from harm, maintain Google’s engagement in the area of online safety across the industry, and make foundational models and the internet safer for society.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams. Set expectations with people based on their level and role and align to the organization's goals. Meet regularly with people to discuss performance and development and provide feedback and coaching. Develop the technical goal and roadmap within the scope of the teams. Evolve the roadmap to meet future requirements and infrastructure needs. Protect users from exposures to offensive, sensitive or harmful content, and unlock new opportunities for the business. Identify opportunities to mitigate internal signal developer issues, working with the community to prioritize and launch improvements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.