Google

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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience managing and growing consulting practices, and executive-level customer relationships. 7 years of experience in areas including business transformation, cloud strategy and operations, cloud financial operations, and innovation. Experience in business development, project scoping, budgeting, and leading enterprise professional services programs. Preferred qualifications: MBA or Master's degree in Computer Science, a related technical field, or equivalent practical experience. Experience in cloud technology and the broader enterprise cloud marketplace. Experience in leading organizations through structural enterprise wide transformations. Experience in cloud transformation and helping customers accelerate business value through cloud transformation programs. Experience speaking at conferences or publishing content on: cloud transformation and strategy, cloud operating model, culture, data-led change, cloud financial operations, or innovation. Excellent written, verbal communication, and management skills. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Innovation Strategy Manager, you will work directly with Google’s business customers, engaging with executive leaders, stakeholders, and practitioners to accelerate organizations business transformation with Google Cloud. You will manage and mentor a team of transformation consultants, guiding their immediate and long-term direction and results.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 Grow and manage the JAPAC team of Delta Innovation and Transformation consultants, architects, and developers within JAPAC Google Cloud Consulting (GCC). Provide input into the development of, and lead execution of, a growth plan for the practice, leading the creation, marketing, and delivery of engaging services offerings and go-to-market initiatives while being accountable for overall services pipeline growth and business development. Lead Professional Services Organization (PSO) Delta practice project delivery for customer engagements. Maintain accountability to customers to ensure programs and projects realize outcomes. Lead delivery of engagements and guide creation of deliverables resulting in outcomes that exceed customer expectations. Manage and lead relationships with customer executives and stakeholders for the delivery of professional services engagements. Lead development of industry thought leadership published by the PSO Delta team. 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 a technical field, or equivalent practical experience. 2 years of experience in program management. Experience in supply chain management, SQL, data analytics, and quantitative modeling. Preferred qualifications: 2 years of experience managing cross-functional or cross-team projects. Experience in Python and Data center technology/hardware/constraints. Experience in delivering time sensitive outcomes to solve mission critical problems. Experience in developing business cases, accounting for future projections, constraints, etc. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 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 Work with cross-functional teams and be accountable for meeting OKRs, providing time bound deliverables, improving legacy systems, processes, etc. Own cross-functional projects in Central Fleet which manages the compute and storage infrastructure of Google. Plan requirements with internal customers and drive projects through the entire lifecycle while dealing with constraints and potentially conflicting objectives, including managing project schedules, identifying risks and clearly communicating goals to project stakeholders spanning functions and time zones. Develop business cases to solve impactful issues for our fleet, define business requirements and work with the engineering teams to develop sustainable solutions. 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, Electrical Engineering, a related field, or equivalent practical experience. 1 year of experience in testing and troubleshooting enterprise server, storage, or networking products. Experience in Test Automation using Python or C++. Experience with scripting (i.e. Python) for automation development. Preferred qualifications: Master's degree or PhD in Computer Science or equivalent practical experience. Experience in software development and testing. Experience with test methodologies, writing test plans, creating test cases, automation and debugging. Experience with Network Equipment and Network Protocols Testing and debugging. About the jobOur computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Identify and report bugs, including escalating complex issues to senior engineers or managers. Develop and execute test plans, including contributing to the hardening of device hardware and software by developing automated scripts and running regression on existing Google platforms. Manage testing and releases of networking products, including managing timelines and project plans. Write and review test plans with teams, including identifying and gathering requirements to test networking features of a moderate to high-complexity project, participate in cross-functional reviews with related teams which cover test plans and test 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience with hardware verification languages (System Verilog/Specman), design verification methodologies, and chip design flow. Experience creating detailed chip or subsystem design verification strategies and plans. Experience leading design verification teams through the full cycle, from concept to delivery. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Experience with verification techniques and the full verification life cycle. Experience with performance verification of ASICs and ASIC components. Experience with ASIC standard interfaces and memory system architecture. Experience with multiple SOC projects/cycles in three or more products. 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. In this role, you will own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verificationThe 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 Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios. Lead a team of chip engineers, plan tasks, allocate people, and hold verification design/code reviews. Perform code development for critical verification features and capabilities. Work closely with system, software, design, and physical implementation stakeholders to make technical decisions and represent project status throughout the development process. Lead design verification efforts and work with external and internal partners. 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 or equivalent practical experience. 10 years of experience in product management, or a related technical role, including 3 years of people management experience Preferred qualifications: Experience applying AI/ML (including Generative AI or Large Language Models) to solve complex business or user problems, particularly in areas like customer support, sales enablement, workflow automation, or policy issues. Experience with or strong understanding of the Google Ads ecosystem and advertiser needs. Experience working in a complex, cross-functional organization, and influencing senior executives (e.g., Sales, Support, Policy, Engineering leadership). Highly analytical with strong problem solving, data analysis skills as well as proven business judgment. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Responsibilities Define and execute a multi-year AI product goal and roadmap, addressing critical advertiser issues and leveraging data and user insights from advertisers, sellers, and support agents. Align goal and land product roadmaps and features across a wide variety of cross-functional partners and leadership. Collaborate effectively with engineering teams to translate product goal into technical specifications and solutions, particularly involving complex AI/ML applications. Partner closely with design, engineering, research, sales, and support operations to ensure cohesive product development and successful launches for High Touch Services. Advocate deeply for users, establish domain expertise in advertiser challenges, and understand how they derive value from ads and support. When our partners succeed, we succeed. Clearly communicate the product goal and value proposition to stakeholders across CE, Ads, GBO, Sales, and Support leadership. 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. 2 years of experience in search advertising using Google Ads or Search Ads 360. Experience with sales and digital media. Preferred qualifications: 5 years of experience in developing and driving digital sales, marketing, or product strategy. Experience in influencing people across functions and countries and managing virtual teams within a large organization. Experience in building performance advertising solutions and certification for one area in performance media. About the jobGoogle's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.Responsibilities Enable partners and clients to automate growth through products aligned with their objectives. Execute scaled programs, sales activation, and capability initiatives. Identify business opportunities and develop aligned plans. Drive AI Ads and performance revenue solutions across Australia's largest clients. Collaborate with product teams to incorporate client and market requirements into development. 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 welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience in developing software that interacts with hardware (e.g., firmware, embedded systems, system software). Experience in production monitoring, logging, and observability tools. Familiarity with networking protocols and technologies. Familiarity with machine learning concepts. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. TPU is Google’s custom-developed Application-Specific Integrated Circuits (ASICs) used to accelerate machine learning workloads, and is critical in Google’s success in the ultra engaged AI space today. In this role, you will drive the end-to-end TPU software development and innovation across the full stack from hardware software interactions to large-scale distributed systems and networking protocols, and contribute directly to technology that enables Google’s AI goal, and work with many cross-functional teams (e.g., hardware, system, data center deployment) to enable the AI applications for Google and Cloud customers.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 team behind Google's groundbreaking innovations, empowering the development of our 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 Drive the technical roadmap across a various hardware, data center, and cloud infrastructure portfolio while leading next-generation TPU product introductions. Set and communicate team priorities, support the organization's goals and develop the mid-term technical goal and roadmap. Align strategy, processes, and decision-making across teams.  Develop, test, and help deploy and debug the lower level software for TPU systems including firmware, driver, user space libraries, Linux Kernel, power, thermal, and test development. Design and implement superpod software to control and manage TPU AI hypercomputers containing thousands of TPU machines, constructing and connecting TPU slices with shape requested by users. Build and evolve the TPU hypercomputer health ecosystem, integrating hardware and networking quality assurance, repair, and monitoring. Partner with cross-functional infrastructure, engineering, and external teams to plan and execute end-to-end programs, from product development to productivity gains. . 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 welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in technical support for web technologies in a customer-facing role. 3 years of experience in site coding using HTML and CSS, scripting languages like Python or JavaScript or intermediate SQL. Experience in digital advertising platform, measurement platforms like Google Analytics, Adobe Analytics, or similar tools, or the implementing and troubleshooting of Tags. Ability to communicate in English and Mandarin fluently to support client relationship management in this region. Preferred qualifications: Experience in working with API setup and architecture. Experience in website maintenance. Experience in advanced measurement solutions like Media Mix Modeling (MMM) and incrementally. Experience with advanced Content Management System (CMS) configurations and platform optimizations. Ability to understand technical concepts and communicate them to a non-technical audience. Excellent data-driven problem solving, relationship building, and communication skills. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and 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 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 Center of Excellence within the gTech Ads Solution Team, our mission is to empower Large Customer Sales (LCS) clients to achieve strategic business outcomes through data-driven measurement. In this specific team we partner with clients, agencies, and internal gTech/Sales teams, providing support to build measurement readiness. This includes assessing and preparing clients to implement infrastructure, identify data gaps, enhance data collection, and track performance against key indicators. Our ultimate goal is to enable clients to maximize value from Google's products and shape the future of measurement.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 to build and maintain strategic relationships with key stakeholders in customer and partner organizations to deliver or manage quality technical solutions and services. Verify the functionality of a developer product feature and provide meaningful feedback to product/engineering teams that result in improvements to the developer experience. Create product requirement documents (PRDs) to record product specifications, validate PRDs to ensure customer/partner and internal needs are met, with limited guidance. Help expand existing or create repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions with minimal guidance. Help write solution code in collaboration with internal or external developers/users/partners/clients/stakeholders (as needed). 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 in Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience in designing, analyzing, and troubleshooting distributed systems. 2 years of experience leading projects and providing technical leadership. Preferred qualifications: Master's degree in Computer Science or Engineering. About the jobSite 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 services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s 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, you’ll 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. In this role, you will work on projects in any of critical infrastructure, resourcing, efficiency, analytics, migrations, SRE best practices, and combining toil reduction with scaling. You will help us expand beyond our twin meta-clusters (loga/loge) with all that moving workloads from private to public compute infrastructure cells entails (obtaining and managing resources, architecting multi-tenancy, removing data locality assumptions throughout our stack, disentangling analysis joins). Logs Site Reliability Engineering (SRE) is based in Sydney, Australia and in Sunnyvale, California, and partners with Sawmill developers in Sunnyvale and BengaluruBehind 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 Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement. Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Expand systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. Practice sustainable incident response and blameless postmortems. 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 welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science, with a focus on computer architecture, or equivalent practical experience. 4 years of experience in microprocessor architecture, microarchitecture, performance, or advanced CPU design. Experience in CPU architecture, performance modeling, analysis, correlation, and workload characterization. Experience with C/C++ and scripting languages (e.g., Python). Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture or machine learning. Experience in CPU/ML microarchitecture exploration, performance model development, performance analysis, performance correlation, or workload characterization. Knowledge of microprocessor instruction set architecture (e.g., ARM, RISC-V, x86). Familiarity with system software components, such as Linux, drivers, and runtime. About the jobAs a CPU Performance Architect, you will be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and deliver Google’s advanced SoC products. You will collaborate cross-functionally with android applications and AI teams to conduct applications and benchmark performance analysis and to project their performance at various design phases. You will be guided by architects and work with engineers in Power, Thermal, Security, and Physical Design teams to determine the CPU subsystem configuration and features.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 Develop and modify a performance model for performance analysis and microarchitecture study. Evaluate Advanced RISC Machine (ARM’s) architecture features from both architecture and performance angles. Define and write CPU subsystem architecture specifications. Collaborate with Register-Transfer Level (RTL), design verification, and physical design teams to develop a high-performance and efficient CPU implementation. Manage performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage. 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.