SOC Architect XProf - Google Careers
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SOC Architect XProf
share linkCopy linkemailEmail a friendcorporate_fareGoogleplaceSunnyvale CA USAbar_chartMidMidExperience driving progress solving problems and mentoring more junior team members deeper expertise and applied knowledge within relevant area.Applyshare linkCopy linkemailEmail a friend
Minimum qualifications
Bachelors degree or equivalent practical experience.
2 years of experience with Single-Level Cell SLC SOC performance SOC architecture.
2 years of coding experience in one or more of the following languages C C Java or Python
2 years of experience in the machine learning field.
Experience in experimental design analysis and performance tools.
Experience in performance debugging of single-node systems.
Preferred qualifications
Experience with ML frameworks such as TensorFlow JAX and PyTorch or ML compilers such Accelerated Linear Algebra XLA.
Experience in releasing and supporting open-source projects.
Proven track record in open-source software development.
About the job
Googles 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. Were looking for engineers who bring fresh ideas from all areas including information retrieval distributed computing large-scale system design networking and data storage security artificial intelligence natural language processing UI design and mobile the list goes on and is growing every day. As a software engineer you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities deadlines and deliverables. You will design develop test deploy maintain and enhance software solutions.
Our team is focused around driving continuous improvements to the machine learning softwarehardware stacks through providing insightful performance debugging for workloads and custom kernels. We provide insights by summarizing different views of captured profile data - such as trace timelines memory usage Compiler profiles ML graph summaries.
The AI and Infrastructure team is redefining whats 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. Were the driving team behind Googles groundbreaking innovations empowering the development of our cutting-edge AI models delivering unparalleled computing power to global services and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs Vertex AI for Google Cloud Google Global Networking Data Center operations systems research and much more.
The US base salary range for this full-time position is 147000-211000 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
Learn and build an intuitive understanding of existing data collection analysis and visualization workflows.
Support new and exciting ML paradigms such as horizontal scaling for upcoming TPU chips by making contributions across the end-to-end stack and analysis tools.
Partner with Product Area leads to understand model optimization use cases drive cross functional efforts to deliver on chip profiling requirements and propose new hardware features.
Collaborate across Hardware Driver Runtime and Performance Analysis teams and many other stakeholders.
Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate 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 identityexpression 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 Googles 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.
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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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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Follow Life at Google on More about usAbout usopen_in_newContact usopen_in_newPressopen_in_newRelated InformationInvestor relationsopen_in_newBlogopen_in_newEqual Opportunity
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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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