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Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SREs will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, youll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Responsibilities
Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

Google'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 Googles 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.

We are a team in Growth and Notifications (GaNT). GaNT provides a generic notification platform and collaborates with all product areas at Google for improving the quality of communications with Google's users and for helping in product re-engagement and growth. Our team leverages GaNT systems and develops over the entire organizations stack to increase user reach-out capabilities and to develop advanced impactful features (e.g., a complex user journey and adding new communication channels). We serve multiple use cases spanning from promotional notifications to critical security alerts.

As a Software Engineer on the team, you will work with multiple teams across GaNT (and outside of GaNT), as many of the features we develop are cross-team ones.

The Core team builds the technical foundation behind Googles 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 Googles 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
Help the team to improve our offerings to collaborators by implementing new features and abilities, and specifically new channels in which we can drive impact.
Drive complete development cycles from requirements and design through implementation and establishing test plans.
Collaborate closely with other team members and across teams to solve complex problems leveraging a wide technology stack.

Google'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 Googles 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.

We are a research team of engineers and research scientists who work together toward the development of exciting and society-benefiting conversational education experiences. In this role, you will work on developing core educational abilities (e.g., question generation) that build toward entire educational experiences. Team members work on all stages of the technology development, from data collection and modeling to the necessary infrastructure to support the development and integration.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Develop in-house Natural Language Processing/Machine Learning technologies.
Work closely with other research groups on collaborative research efforts.
Work closely with product groups to deliver ML solutions to products.
Develop infrastructure needed to support model development and serving.

Google'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 Googles 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.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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
Build quality features that enrich Filestore's offering to customers.
Design, implement, test, integrate, coordinate, lead, communicate, and launch deliverables.
Conduct design reviews and code reviews, and collaborate with colleagues inside and outside the team to help make things happen together.
Help Filestore achieve compliance with various regulated requirements.
Initiate and identify areas for product improvement and work with stakeholders to get them staffed.

Be 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.
As a CPU Frontend Design Engineer, you will take part in central processing unit (CPU) development, a complex and critical blocks of Googles sever System on a Chip (SoC). You will be responsible for microarchitecture and RTL design and implementation of core technology as part of Googles data center SoC products. You'll collaborate closely with architecture, verification, and physical design engineers, creating micro-architectural definitions with RTL coding and running block level simulations.

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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Define architecture and micro-architecture features, write specifications, and understand implementation tradeoffs (e.g., performance, power, frequency, etc.).
Define the CPU block level design document (e.g., interface protocol, block diagrams, transaction level flow, control registers, pipelines, etc.).
Perform RTL development process (e.g., coding and debug in Verilog, SystemVerilog, or VHDL), function/performance simulation debug, and Lint/CDC/FeV/PowerIntent checks.
Contribute to the SoC level integration, and participate in synthesis, timing/power closure, and silicon bring-up.
Participate in test plan and coverage analysis of the block and SoC-level verification.