Aristotle jobs in San Diego, CA - 35 jobs

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. 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. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ GFiber _place_ Mountain View, CA, USA; Austin, TX, USA; +16 more; +15 more _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Austin, TX, USA; Kansas City, MO, USA; Atlanta, GA, USA; Charlotte, NC, USA; San Antonio, TX, USA; Nashville, TN, USA; Chicago, IL, USA; West Des Moines, IA, USA; Huntsville, AL, USA; Mesa, AZ, USA; Miami, FL, USA; Provo, UT, USA; Durham, NC, USA; San Diego, CA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA** . **About the job** At GFiber, we believe in the power of great internet that lets people do more, helps communities get stronger and makes amazing things possible. We're not just growing to build better internet experiences, we're also building a welcoming place where people who want to make a difference can grow their careers. GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our growing team is expanding as we connect more cities and people. Explore open roles at GFiber onour careers page (https://fiber.google.com/careers/?&\_ga=2.130571087.1997095489.1667***********117417.1667588137#roles) . Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; San Diego, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; San Diego, CA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 10 years of experience in product management or related technical roles. + 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). + Experience leading a portfolio of mobile application processors for the premium market. **Preferred qualifications:** + Master's degree in a technology or business related field. + Experience building or defining mobile application processors that host on-device large language models (LLMs). + Understanding of embedded device design, both software and hardware, including system architecture, and Android OS. + Excellent communication and collaboration skills to drive complex initiatives across many cross-functional stakeholders and executive management. **About the job** At 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 Tensor a Google's custom system-on-chip (SoC) that powers Pixel devices. Tensor makes transformative user experiences possible through machine learning, including Gemini, running on the device. In this role, you will help define our next generation SoCs. 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. The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead multiple Tensor SoC products from concept to launch on Pixel phones. Own long-term chipset roadmaps and Product Requirement Documents (PRDs). + Identify mobile semiconductor market trends and produce relevant strategic insights. + Collaborate with Pixel, Android, silicon engineering, and operations to deliver an exceptional chipset solution that meets business goals. + Frame product goals and strategies effectively to cross-functional stakeholders, including executive audiences, and partner with marketing and public relations for launch messaging. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +29 more; +28 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are currently pursuing a PhD degree program in Computer Science or a related field. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. We offer a range of internships in either Software Engineering or Site-Reliability Engineering across North America, including the US and Canada. Our recruitment team will determine where you fit best based on your resume. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may also be located in our Playa Vista, CA campus. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Pursuing a PhD program in Computer Science or a related technical field. + Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python. **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + In their penultimate academic year or returning to a degree program after completion of the internship. + Experience conducting research in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. + Experience in computer science, data structures, algorithms, and software design. **About the job** Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal. As a Software Engineering Intern, you will work on a specific project critical to Google's needs. Google is working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we work on projects that utilize the latest computer science techniques developed by skilled software developers. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people. **Software Engineering Intern:** As a key member of a versatile team, you will work on a specific project critical to Google's needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship. **Site Reliability Intern:** Our engineers create, fix, extend, and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business generating-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services, from monitoring and alerts to building automation infrastructure. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive 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. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop scripts to automate routine tasks. + Analyze information and evaluate results to choose the best solution to effectively solve issues. + Apply knowledge gained in computer science courses to real world challenges. + Create and support a productive and innovative team including working with peers, managers, and teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XThis posting is for a new vacancy. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: * Health, dental, vision, life, disability insurance * Retirement Benefits: 401(k) with company match * Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment * Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) * Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks * Baby Bonding Leave: 18 weeks * Holidays: 13 paid days per year Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least February 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Austin, TX, USA; Boulder, CO, USA; Irvine, CA, USA; Los Angeles, CA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 4 years of experience with cloud native architecture in industry or a customer-facing or support role. * Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and Retrieval-augmented generation (RAG). * Experience with machine learning model development and deployment. * Experience engaging with, and presenting to, technical stakeholders and executive leaders. * Experience with programming or technical proficiencies to demo, prototype, or workshop with customers. Preferred qualifications: * Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. * Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks). * Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks). * Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. * Experience with frameworks for deep learning (e.g. PyTorch, Tensor Flow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), or using machine learning APIs. * Experience working with startups. About the job When 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 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. As a Practice Customer Engineer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of specialized workloads. You will leverage your deep expertise in product areas, in partnership with Platform CEs, to develop prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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. For Unites States Applicants: The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. For Canada Applicants: The Canada base salary range for this full-time position is CAD 128,000-131,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp. * Combine sales strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. * Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships. * Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. * Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

_corporate_fare_ Google _place_ San Jose, CA, USA; San Diego, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Jose, CA, USA; San Diego, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. + 8 years of experience in Technical Program Management, Engineering Management, or Partner Management in the semiconductor or consumer electronics industry. + Experience in the Qualcomm ecosystem, including SoC, the Android software stack and supporting Original Equipment Manufacturers (OEMs) to launch devices. + Experience managing cross-company technical programs involving hardware/software co-design. **Preferred qualifications:** + Experience in Extended Reality (XR) (Augmented Reality (AR)/Virtual Reality (VR)), Mobile, or Wearables ecosystems. + Experience managing high-stakes executive relationships and negotiating technical trade-offs between partner organizations. + Understanding of the language of chip design (i.e., IP blocks, thermal constraints, power envelopes) with the ability translate that into software requirements. + Ability to navigate ambiguity and drive consensus across matrixed engineering teams (Core Tech, Platform Software, Hardware Network Threat Intelligence). **About the job** The Android XR Ecosystem (AXRE) team is the engine responsible for accelerating the mass adoption of spatial computing. To win, software and silicon must evolve as one. We are looking for a strategic technical leader to operate the governance of our most critical silicon partnership and drive key workstream from inception to delivery. As a Technical Partner Manager, you will not just track status, you will drive the operational rhythm of the entire ecosystem. You will serve as the primary bridge between Google's Android XR engineering teams (Core Tech, Platform, Next Generation) and product/program management and our partner's silicon and software organizations. You will effectively serve as a lead for key projects and work streams in our partnership, ensuring that our joint roadmap translates into execution velocity, resolving technical bottlenecks, and managing executive stakeholders to unlock the full potential of Android XR. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Support the operational framework for our primary silicon partnership, driving top-to-top alignment through joint product councils. + Direct critical workstreams across Silicon Architecture, and Platform Readiness, ensure synchronization between silicon designs, software deliverables, and lead OEM launches. + Oversee a joint Product Development Process (PDP) for next-generation Reference Designs, proactively mitigating risks in advanced technical areas such as split-compute architectures. + Standardize and implement a scalable, "low-touch" engagement model to accelerate OEM adoption, streamlining processes for code access, technical support, and issue resolution. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Remote/Field Sales: To be considered for this role, you must reside in one of the following locations: San Diego CA, Los Angeles CA, San Jose, CA, Portland OR, Seattle WA About Us CDK Global is a leading provider of cloud-based software to dealerships and Original Equipment Manufacturers ("OEMs") across automotive and related industries. The Company's cloud-based, software as a service ("SaaS") platform enables dealerships to manage their end-to-end business operations including the acquisition, sale, financing, insuring, repair, and maintenance of vehicles. By automating and streamlining critical workflows, the integrated platform of modern solutions enables dealers to sell and service more vehicles by creating simple and convenient experiences for customers and improves their financial and operational performance. Position Summary The Account Development Executive for our Small Dealer Services team create business relationships in competitive accounts selling CDK's DRIVE bundled solution. In this position you will grow new market share through conquest sales, selling to Franchise Dealers with 2 sites or less. Work in conjunction with all of your channel partners to increase sales opportunities in CDK strategic products in conquest accounts. Achieve annual assigned sales plan, working under guidance of Sales Leadership Job Responsibilities & Expectations: * Uncover dealer prospect needs and challenge client to maximize their business results by embracing CDK solutions. * Consistent sales calls * 80% face to face with dealerships * 80% travel required, overnight travel (dependent on territory and need to be in the area for a couple of days to penetrate market) * Communication: * Daily communication with channels * Daily communication with management * Monthly conference call with Sr. Director of Sales * Engage in solution sales process * Manage overall account relationship * Close business achieving assigned annual quota credit * Ensure competitors do not penetrate accounts * Data analysis to include total dealer spend * Assimilate product & technology knowledge to configure and quote product solutions. * Maximize your resources by engaging the full breadth and depth of CDK channel partners. * Gain quick access to key decision maker Requirements: * 3-5 years of experience in B2B technology or solution sales preferred * Automotive industry experience * Ability to travel 80% of the time, Monday - Friday * Ability to overcome objections easily * Experience using consultative solution selling to align client's business needs with a solution * Experience in negotiating and closing sales opportunities * Experience with developing and managing a sales territory * Self-driven, persistent, ambitious, and highly motivated * Excellent communication, listening and questioning skills * Microsoft Office & CRM PC Skills Salary: $75,000 + Uncapped Commissions CDK Global is committed to fair and equitable compensation practices. Compensation packages are based on several factors, including but not limited to skills, experience, certifications, and work location. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.We offer Medical, dental, and vision benefits in addition to: * Paid Time Off (PTO) * 401K Matching Program * Tuition Reimbursement At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact. CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law. Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.

_corporate_fare_ Google _place_ Mountain View, CA, USA; San Diego, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; San Diego, CA, USA** . **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 RTL design using Verilog/System Verilog and microarchitecture. + 4 years of experience in leading IP/SoC design teams. + Experience with Advanced RISC Machine (ARM) based SoCs, interconnects, and ASIC methodology. **Preferred qualifications:** + Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. + 12 years of experience with IP design for IPs in Machine Learning, Neural Processors, Multimedia or GPUs. + Experience with methodologies for low power estimation, timing closure, and synthesis. + Experience managing technical teams. + Ability to drive a multi-generational roadmap for IP development. **About the job** 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 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. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Manage a team that delivers Machine Learning IPs for Google Silicon SoCs. + Define microarchitecture details for Machine learning processors and accelerators along with specification of data flows and integration requirements for Subsystem Development. + Oversee Register-Transfer Level (RTL) development, debug functional/performance simulations. + Meet schedule commitments and provide support to customers. + Participate in synthesis, timing/power estimation, and FPGA/silicon bring-up. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ New York, NY, USA; San Diego, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; San Diego, CA, USA** . **Minimum qualifications:** + Bachelor's degree in a technical field, or equivalent practical experience. + 5 years of experience in program management. + Experience with customer engagement, customer-facing, network design, network connectivity, teamwork, process capability, reporting, technology sales and operational support systems. **Preferred qualifications:** + 5 years of experience managing cross-functional or cross-team projects. + Experience with network configuration and operational analysis. **About the job** A 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. The Regional Network Service Management Lead is a strategic player-coach role within the newly established Global Submarine Networks (GSN) operating organization. This position is the foundational architect for how GSN moves from infrastructure construction to service delivery and management operating models. In this role, you will design the build-to-operate and service-to-handover frameworks, ensuring that as new subsea cable systems reach commercial acceptance, they are seamlessly integrated into a governed, compliant, and customer-centric operational model. This role requires a hybrid expertise in telecommunications (Subsea/Optical) and IT Service Management (ITIL/Enterprise IT). 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. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact. + Prioritize program goals, understand and translate other stakeholders needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables. + Define the scope of projects and develop, execute, or manage project plans for supported programs. + Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations. + Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ San Diego, CA, USA; Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Diego, CA, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. + 8 years of experience with ASIC power management architecture. + Experience with hardware or software power control flows and methodology. **Preferred qualifications:** + Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture. + Experience with algorithmic development and prototyping software for power management. + Experience with power components, power modeling, and power management techniques such as Voltage Frequency Scaling (DVFS/AVS), etc. + Experience modeling and validating in virtual prototyping and TLM environments. + Knowledge of the impact of software and architectural design decisions on power and thermal behavior of the system, such as thermal mitigation and scheduling, and cross-layer policy design. **About the job** 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 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. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Drive architectural analysis for mempath traffic patterns, from collecting silicon traffic patterns for key tensor CUJs, to mapping them to presilicon CUJ estimates and closing correlation gaps. + Oversee end-to-end correlation from presilicon micro benchmark power estimates to CUJ modeling estimates, with a focus on architectural assumptions used for modeling. + Propose architectural features/requirements for mempath to improve overall KPIs. + Perform algorithm development, modeling, and analysis of various architecture approaches. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a 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, a related field, or equivalent practical experience. 10 years of experience in security certification (FIPS, Common Criteria, SESIP, EMVco, GP). Experience with hardware and software architecture. Experience in Technical Program Management. Experience with development and product life-cycle. Experience in embedded security and cryptography. Preferred qualifications: Common Criteria certification for a Secure IC, smartcard or similar devices. FIPS140-3 certification for a crypto module (CMVP). Experience with government and regulatory policies related to security. Knowledge of PP0084, CAVP and CMPV requirements. Familiarity with the SOGIS Application of Attack Potential to Smartcard. Familiarity with JIL Minimum Site Security Requirements (MSSR). About the job 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. In this role, you will identify the primary drivers (e.g., business, regulatory,) for certification and manage security certification programs (Common Criteria, FIPS) from start to finish. You will be the direct interface with the evaluation laboratory and the Certification Body. You will be responsible for providing on time all the evidence and material required for the certification. You will work directly with all the stakeholders internally (e.g., engineering and corporate teams) to convey the requirement and ensure they are met. You will drive internal improvements and take decisions as needed to achieve success. Within the Security Assurance team you will have the support from security experts and a red team to help you achieve your objectives. 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. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Assess engineering problems, understand the interplay between certification requirements and functional requirements, and contribute to shaping technical directions. Organize and manage security certification activities. Monitor and communicate progress, risks, and mitigation. Identify stakeholders (internal and external) and work with them to strategize, plan, and prioritize objectives, estimate task duration, and ensure schedules and dependencies are aligned and support those objectives. Leverage a variety of methodologies (e.g., Agile, Waterfall) to make teams most effective. Establish systems to identify improvements and drive future needs around security certification. Discern when a change is appropriate and to drive change across the organization, working closely with partner teams to manage and communicate changes, introducing them in the minimal disruptive manner. Put systems and mechanisms in place to facilitate future changes.

_corporate_fare_ Google _place_ Mountain View, CA, USA; San Diego, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; San Diego, CA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 5 years of experience in product management or related technical role. + 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). + Experience defining and launching mobile application processors for premium phones. **Preferred qualifications:** + Master's degree in a technology or business related field. + Experience in SoC power architecture and battery life. + Understanding of the semiconductor industry from engaged landscape to advanced technologies and supply chain. + Understanding of embedded device design, both software and hardware, including system architecture, and Android OS. + Excellent communication and people management skills to advocate initiatives across many cross-functional stakeholders and executive management. **About the job** At 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. We are the team that builds Google Tensor, Google's custom system-on-chip (SoC) that powers Pixel devices. Tensor makes transformative user experiences possible through machine learning, including Gemini, running on-device. We are looking for an experienced product manager to define our next generation SoCs. 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. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead Tensor SoC products, from early concept definition through launch on Pixel phones. + Identify mobile semiconductor market trends, analyze, and produce relevant insights. + Define long-term chipset roadmaps and product requirement documents (PRDs). + Collaborate with Pixel and Android partners to identify top use cases and metrics driving silicon requirements. + Partner with Engineering and Operations teams to deliver an exceptional chipset solution that meets business goals. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with Computer Vision (e.g., image classification and processing, object detection, visual search), video generation, or signal processing; and experience with various algorithms and design techniques. 5 years of experience 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: Master's degree in Electrical Engineering, Computer Engineering or Computer Science or equivalent practical experience. Experience in software development, programming in C, C++, script, or Android programming. Experience in AI/ML development, signal processing, micro-controller selection and various digital communication protocols and interfaces (e.g., GPIO, SPI, I2C and UART). Experience in sensor core architecture with demonstrated skills in implementing sensor fusion algorithms. Understanding and applying principles of software development and key concepts in computer architecture. Knowledge of estimation theory (e.g., Kalman Filters, EKF, etc.), hardware performance monitors, and profiling. About the job 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 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 extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work. In this role, you will lead a specialized team of Software Engineers who operate at the intersection of Hardware, Software, and Artificial Intelligence. Your team's mission is to efficiently develop innovative Pixel experiences by leveraging the variety of sensor signals available on the device. This is a pivotal leadership role that requires deep skills in real-time embedded software development together with expertise in algorithms (e.g., Heuristics and AI) to build exciting features leveraging sensor data in a power-friendly manner. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Apply extensive experience in hardware, AI, and software technologies relevant to the mobile phone form factor. Diagnose and debug hardware and software issues to ensure system stability. Employ creative and critical thinking to troubleshoot complex problems and communicate findings effectively. Utilize OS tools and UNIX/Linux internal knowledge to deliver high-quality end-user products. Develop testing and verification methods that ensure an efficient and consistent development rhythm. Architect and build sensor fusion algorithms (e.g., Heuristic and Machine Learning) for optical and motion technologies.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Diego, CA, USA; Mountain View, CA, USA. Minimum qualifications: * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. * 10 years of experience with SoC architecture or system architecture. * 8 years of experience working with one or more of the following: ambient computing, audio processing, machine learning, image processing, or computer architecture. Preferred qualifications: * Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science with an emphasis on computer architecture. * 10 years of experience in ambient computing, audio processing, sensors processing, machine learning, wireless connectivity on Mobile/Embedded SoCs. * Experience driving system architecture decisions. * Experience with Android architecture, mobile SoC architecture, ML architecture, computer architecture, PPA trade-offs. * Experience driving system architecture decisions across software/hardware teams within an organization to build up the consensus and translate ideas into architecture specifications. * Knowledge of interactions between software and different IP blocks, general and special purpose compute units. About the job 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. In this role, as part of the Silicon System Architecture team, you will leverage knowledge in ambient computing architecture; power, performance, and area (PPA) trade-offs; and SoC audio/speech/ambient workloads analysis. You will be responsible for proposing and designing the architecture specification for innovative solutions, working with design and software implementation teams to ensure successful realization. You will play a critical role in the entire lifecycle of technology development from initial research and proof-of-concept to product implementation.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. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Influence Tensor SoC ambient architecture decisions for optimal PPA working cross-functionally with architects, software, and research teams. * Leverage a data-driven approach, employing focused profiling, simulation, and modeling of ambient compute workloads to build consensus and guide architectural decisions across the silicon organization, solving challenging system design problems under ambiguous requirements. * Architect SoC system solutions that meet power, performance, and area goals to deliver advanced use cases experience powered by Google's AI research. * Lead proposed solutions through the entire development lifecycle, guiding their evolution from concept to a hardware/software optimized system solution deployed within the SoC.

Apply share * link Copy link * email Email a friend info_outline X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until February 27, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. * Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. * Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. Minimum qualifications: * Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. * Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). Preferred qualifications: * Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. * Penultimate academic year or returning to a degree program after completion of the internship. * Experience as a researcher, including internships, full-time, or at a lab. * Experience contributing research communities or efforts, including publishing papers in major conferences or journals. * Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). About the job Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. 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. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Develop and execute a research agenda. * Contribute to a productive and innovative team, including working with peers, managers, and partner teams.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; San Diego, CA, USA. Minimum qualifications: * Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. * 8 years of experience in Technical Program Management, Engineering Management, or Partner Management in the semiconductor or consumer electronics industry. * Experience in the Qualcomm ecosystem, including SoC, the Android software stack and supporting Original Equipment Manufacturers (OEMs) to launch devices. * Experience managing cross-company technical programs involving hardware/software co-design. Preferred qualifications: * Experience in Extended Reality (XR) (Augmented Reality (AR)/Virtual Reality (VR)), Mobile, or Wearables ecosystems. * Experience managing high-stakes executive relationships and negotiating technical trade-offs between partner organizations. * Understanding of the language of chip design (i.e., IP blocks, thermal constraints, power envelopes) with the ability translate that into software requirements. * Ability to navigate ambiguity and drive consensus across matrixed engineering teams (Core Tech, Platform Software, Hardware Network Threat Intelligence). About the job The Android XR Ecosystem (AXRE) team is the engine responsible for accelerating the mass adoption of spatial computing. To win, software and silicon must evolve as one. We are looking for a strategic technical leader to operate the governance of our most critical silicon partnership and drive key workstream from inception to delivery. As a Technical Partner Manager, you will not just track status, you will drive the operational rhythm of the entire ecosystem. You will serve as the primary bridge between Google's Android XR engineering teams (Core Tech, Platform, Next Generation) and product/program management and our partner's silicon and software organizations. You will effectively serve as a lead for key projects and work streams in our partnership, ensuring that our joint roadmap translates into execution velocity, resolving technical bottlenecks, and managing executive stakeholders to unlock the full potential of Android XR. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Support the operational framework for our primary silicon partnership, driving top-to-top alignment through joint product councils. * Direct critical workstreams across Silicon Architecture, and Platform Readiness, ensure synchronization between silicon designs, software deliverables, and lead OEM launches. * Oversee a joint Product Development Process (PDP) for next-generation Reference Designs, proactively mitigating risks in advanced technical areas such as split-compute architectures. * Standardize and implement a scalable, "low-touch" engagement model to accelerate OEM adoption, streamlining processes for code access, technical support, and issue resolution.

share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Austin, TX, USA; Kansas City, MO, USA; Atlanta, GA, USA; Charlotte, NC, USA; San Antonio, TX, USA; Nashville, TN, USA; Chicago, IL, USA; West Des Moines, IA, USA; Huntsville, AL, USA; Mesa, AZ, USA; Miami, FL, USA; Provo, UT, USA; Durham, NC, USA; San Diego, CA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA. About the job At GFiber, we believe in the power of great internet that lets people do more, helps communities get stronger and makes amazing things possible. We're not just growing to build better internet experiences, we're also building a welcoming place where people who want to make a difference can grow their careers. GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our growing team is expanding as we connect more cities and people. Explore open roles at GFiber on our careers page.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA. Minimum qualifications: * Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. * 4 years of experience with working in system or SoC level power estimation, modeling and use case analysis, or 3 years of experience with an advanced degree. * Experience with one or more mobile phone hardware subsystems, such as applications processor, cellular modem, graphics, multimedia, display, memory, Wi-Fi. Preferred qualifications: * Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field. * Experience with mobile phone workloads in one or more areas such as multimedia processing, camera pipeline, render and display processing, cellular modem/Wi-Fi processing. * Experience with power measurement tools such as Monsoon, digital multimeter, as well as experience with Android tools such as adb, Systrace, Git. * Experience working with hardware prototypes to test and root cause issues. * Experience with working in modeling and automation using Python and SQL. About the job The Pixel System Architecture team is responsible for defining the next-gen Systems for Pixel devices from concept to volume production to post deployment. In this role, you will be part of the Battery Life Modeling team in the Pixel System Architecture team and will contribute to the mission of empowering Pixel users with exceptional battery life experiences. You will play a critical role in shaping the next generation of mobile devices by pushing boundaries on hardware/software optimization and modeling user/app behavior across existing and new applications. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Project system level power consumption for Pixel devices by modeling use cases and subsystems. * Analyze power consumption anomalies to root cause issues by running use cases on real devices and platform boards. * Collect logs and relevant data and drive analysis and present data driven conclusions to executive leaders. * Work with cross-functional hardware, software, and systems teams to perform power/performance trade-off analysis and optimizations for a wide variety of use-cases. Propose and drive implementation of innovative power optimization features across hardware and software. * Participate in power and performance benchmarking of hardware (e.g., SoC, CPU, GPU, PMICs, and more), software (e.g., firmware, kernel, Android/iOS, and more), and applications (e.g., multimedia, generative AI, and more) across internal and external platforms.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Diego, CA, USA; Mountain View, CA, USA. Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with ASIC power management architecture. Experience with hardware or software power control flows and methodology. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture. Experience with algorithmic development and prototyping software for power management. Experience with power components, power modeling, and power management techniques such as Voltage Frequency Scaling (DVFS/AVS), etc. Experience modeling and validating in virtual prototyping and TLM environments. Knowledge of the impact of software and architectural design decisions on power and thermal behavior of the system, such as thermal mitigation and scheduling, and cross-layer policy design. About the job 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 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. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Drive architectural analysis for mempath traffic patterns, from collecting silicon traffic patterns for key tensor CUJs, to mapping them to presilicon CUJ estimates and closing correlation gaps. Oversee end-to-end correlation from presilicon micro benchmark power estimates to CUJ modeling estimates, with a focus on architectural assumptions used for modeling. Propose architectural features/requirements for mempath to improve overall KPIs. Perform algorithm development, modeling, and analysis of various architecture approaches.