Strong Compute jobs

Senior Design Automation Engineer, Software, Center for Quantum Computing San Francisco, California, USA The Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. We are looking to hire a Senior Design Automation Engineer to join our growing software team. You will work closely with our superconducting chip design teams to enable their working designing, simulating, and improving the performance of our quantum devices. The ideal candidate should be able to translate high-level science requirements into software implementations (e.g. Python APIs/frameworks, automation routines, database schemas, infrastructure-as-code setups) that are performant, scalable, and intuitive. This requires someone who (1) has a strong desire to work within a team of scientists and engineers, and (2) demonstrates ownership in initiating and driving projects to completion. This role has a particular emphasis on working directly with chip designers to develop scientific software for automating, scaling, and optimizing the quantum device design process. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is

Machine Learning Compiler Engineer Cupertino, California, USA The Product: Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in

Sr. Principal Machine Learning Engineer CA - Virtual - E posted: Posted 4 Days Ago

SoC Power Analysis and Optimization Engineer Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si. Optimize Power Team

Staff SWE, Compiler Architect, System Performance Modeling Sunnyvale, CA, USA; +3 more Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team is pioneering next-generation performance modeling and simulation technologies that drive multi-year system architecture roadmaps for cutting-edge machine learning accelerators. We are looking for a visionary technical lead to define and own the accuracy and fidelity of our critical co-design simulation platform. Help work on the most complex system-level performance challenges in close collaboration with hardware designers, ML researchers, and product architects, defining the next decade of AI systems at data center scale. If you are excited about building the most powerful ML systems with HW-SW co-design and optimization, please join us and accomplish the missions together. 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

Systems Engineer, Managed Operations, Managed Operations Berlin, Berlin, DEU AWS has successfully launched the European Sovereign Cloud (ESC), marking a significant development in Utility Computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building, operating and evolving operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

Senior SoC Power Analysis and Optimization Engineer, Graviton Team Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si.

Software Dev Manager - AWS IAM, AWS Identity -IAM Control Plane Arlington, Virginia, USA We are looking for a strong Software Development Manager to lead a team responsible for core IAM components - Resource Tagging, Sharing and Access Management. - Manage a team of SDEs building foundational IAM components - Own the technical direction for core IAM components - Resource Tagging, Sharing and Access Management. - Drive cross-team collaboration across AWS organization Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Defining and delivering on long-term product and architecture strategy for Resource Tagging, Sharing and Access Management. - Executing against project plans and delivery commitments; Managing day-to-day activities of the engineering team within an Agile/Scrum environment - Recruiting, hiring, mentoring, coaching, retaining and performance management for a best-in-class engineering team. - Communicating development, quality, operations, and system performance to senior leadership - Ownership and continuous improvement of all operational metrics and automation tools for your team's software. About the team AWS Identity

Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products

Software Dev Engineer, Amazon Athena, Serverless Compute Bellevue, Washington, USA Want to help define the future of serverless compute and make it effortless for customers to run petabyte-scale analytics workloads without managing infrastructure? Come join the Serverless Analytics Compute team in Amazon Athena! We are building the compute orchestration platform that powers Amazon Athena today - and will power other analytics services tomorrow. Our platform abstracts away the complexity of provisioning, scaling, and managing distributed compute workers so customers get instant, elastic capacity without ever thinking about servers, clusters, or fleet management. We are building to manage millions of compute workers across multiple capacity providers, delivering instant compute for analytics workloads at massive scale. In this role, you will have the opportunity to collaborate with senior and principal engineers who are domain experts at AWS. You'll develop deep expertise in areas like distributed systems, serverless compute orchestration, sub-second worker startup, multi-tenant resource isolation, and operational excellence at scale. You'll contribute to platform services that underpin some of AWS's highest-scale analytics offerings. You will enjoy competitive compensation and your contributions in this role will impact customers and businesses around the world. Key job responsibilities You'll be responsible for designing, developing, testing and deploying some of our most strategic technical projects. You'll deliver large-scale, high-performance production systems, design new software systems of distributed technology, and have a significant bottom-line impact on our business results. You will draw from your deep and broad technical expertise to mentor engineers, complete hands-on technical work and

Systems Engineer, ESC Managed Operations Dublin, IRL AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational services

Assembly, Integration, & Testing Engineer, Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) team is looking to hire an Electro-Mechanical Assembly, Integration, & Testing (AIT) Specialist. Candidates must have experience in assembling and testing complex electrical and mechanical systems. The candidate will work with cryogenic systems, microwave electronics, and support hardware. Responsibilities include mechanical assembly, hardware integration, maintenance, and servicing cryogenic test setups; maintaining and organizing R&D lab infrastructure and facilities; composing technical documents, and technical troubleshooting. The ideal candidate should have a strong background in engineering principles; and basic data analysis, problem solving, and communication skills. Working effectively within a team environment is critical. Key job responsibilities The primary responsibility of this role is cryogenic operations, which includes hardware integration and reconfiguration, documentation, and quantum processor integration. In addition, the scope of the role also includes assembly, integration, and testing of novel cryogenic RF/Microwave hardware. A day in the life You will work across teams to reconfigure, assemble, integrate, test, and operate cryogenic systems weekly. You will coordinate with stakeholders on reconfiguration requirements, documentation, scheduling, and integration of new devices. In addition to cryogenic systems operations, you will work along side cryogenic hardware engineers supporting assembly, integration, and testing novel hardware projects. The ideal candidate should embrace a fast-paced startup environment-they must be able to learn quickly, operate independently, communicate clearly, and consistently demonstrate reliability. About the team The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on

Principal Machine Learning Engineer 3 Locations posted: Posted 7 Days Ago

Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago

Systems Engineer/DevOps Eng, ESC Managed Operations Madrid, Community of Madrid, ESP AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations

Machine Learning Hardware Architect, TPU Sunnyvale, CA, USA In 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. As a Machine Learning Hardware Architect, you will influence the evolution of high-performance intelligence for next-generation computing infrastructure. You will have an opportunity to drive technology that powers large-scale systems where high throughput, reliability, and efficiency are mission-critical. You will be part of a team that pushes boundaries, developing solutions that define the future of intelligent data centers and enterprise hardware. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration to deploy complex, large-scale AI models across sophisticated hardware platforms. 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 channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global

Operations Production Coordinator (PM Shift) Tempe, AZ, United States Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: The Operations Coordinator is responsible for the building's material and document management. The Operations Coordinator will manage weekly production schedules and coordinate day to day activities with various cross functional team and external vendors. Strong knowledge of SAP, basic computer programs and manufacturing monitoring systems required. Strong communication skills and attention to detail are required. Perform other duties as assigned by Supervisor. The shift schedule is night shift, every other Wednesday and Thursday-Saturday. Responsibilities Understands production scheduling and workflow, material control, quality, cGMP, GDP, and safety as part of job duties. Utilizes computer to manage weekly schedule, perform transaction in inventory system (SAP) to manage materials for production. Interface with company's electronic system to generate, release, and close out batch records and/or any other documents. Interface with manufacturing monitoring system to track and trend data. Coordinates the delivery of raw materials and/or commodities needed to meet production schedule. Ensure inventory accuracy and maintain 5S

AI Staff Scientist 2 Locations posted: Posted 30+ Days Ago

Data Architect Warminster, Wiltshire posted: Posted 2 Days Ago

Principal Member of Technical Staff - Autonomous Database India, IN The Autonomous Database cloud service framework automates deployment, scaling and management of databases in the cloud and is built on top of Oracle's Cloud Infrastructure (OCI) Layer. The framework features APIs to handle all lifecycle management operations of databases. It also performs operations autonomously based on internal and external events. The team has the unique opportunity to make significant contributions to the full stack of Oracle technology, from database kernel to cloud service platform and to customer-facing portals. Projects include enhancements to the core database kernel architecture, automation of tenant database lifecycle management, autonomous database management and tuning, integration with other Oracle cloud services, and extending platform for customers to build application services. We are a dynamic and enthusiastic team with great emphasis on go-getters and proactive individuals. Overview from oracle.com with links to other collateral: https://cloud.oracle.com/en_US/datawarehousehttps://www.oracle.com/database/autonomous-database/feature.html Preferred Qualifications: BS/MS degrees in Computer Science or Computer Engineering Strong, object-oriented design and coding skills (Java, Scala, Python, C/C++) Good understanding of Cloud architecture, security, networking, monitoring and deployments Hands on experience on any one cloud - AWS, Azure, Google or Oracle is a must Experience building scalable, highly available and secure distributed multi-tiered systems Experience with relational databases Strong knowledge in Rest API development Experience in infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar Experience in operating high-throughput software systems in cloud environments Ability to achieve stretch goals in a fast paced environment Design, develop, troubleshoot and debug software

Machine Learning Engineer, Alexa AI Boston, Massachusetts, USA The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference. As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment. Responsibilities- - Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. - Work closely with Applied scientists to process data, scale machine learning models - Will work in an Agile/Scrum environment to deliver high quality software. About the team Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is

Data Scientist San Francisco posted: Posted Yesterday

SAP China iXp Intern - Developer for Web Application - Xi'an SAP China iXp Intern - Developer for Web Application - Xi'an | Country China | Internal Posting Location Xi 'an We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you bring: We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Currently enrolled in university as full-time student Commitment of 5 days per week for 6-month internship onsite Bachelor or above in computer science, software engineering, computer engineering, or a related discipline Experience in UI development using JavaScript Experience developing on Windows, Mac, and/or Linux Strong problem solving and communication skills Experience with Java, Node.js, JavaScript, jQuery, CSS, XML, HTML5, and/or full-stack development is a plus Significant hobby programming experience (including personal projects, hackathons and programming contests) would be appealing Strong academic performance is preferred Proficiency in English as the daily communication will be done in English Meet your team:

Physical Design Technical Lead, ASIC, TPU Sunnyvale, CA, USA 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. Google's Tensor Processing Units (TPUs) are incredibly complex, pushing the boundaries of physical design, power, and performance. In this role, you will provide technical leadership for the physical design of our next-generation AI silicon. Because of the sheer scale of our chips, our physical design leadership is highly dynamic; you will be expected to drive end-to-end execution with a scope that scales from owning highly complex, critical macro-subsystems up to overarching project-wide top-level implementation, depending on project needs. 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