Senior Accelerators Systems Software Architect, AI Transformation

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, C++ Programming Language, Cloud Computing, Coaching, Computer Architecture, Computer Firmware, Computer Science, Computer Software, Construction, Consulting, Cross-Functional, Data Storage, Data Structures, Distributed Computing, Ecosystems, English Language, Equal Employment Opportunity (EEO), Financial Services, GPU (Graphics Processing Unit), Genetics, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Linux Kernel Drivers, Machine Learning, Manufacturing, Matrix Management, Modeling Languages, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Research, Operations Security (OPSEC), PCI Express (PCI-E), Product/Service Launch, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Sales Management, Software Architecture, Software Development, Software Engineering, Stock Purchase Plans, System Architecture, Team Lead/Manager, Technical Leadership, Test Plan/Schedule, Time Management, User Interface Design, YouTube
LOCATION
Sunnyvale, CA
POSTED
5 days ago

Senior Accelerators Systems Software Architect, AI Transformation - Google Careers

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Senior Accelerators Systems Software Architect, AI Transformation

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • Experience integrating Generative AI tools or Large Language Model (LLM) interfaces into workflows.
  • Experience with architecture and writing software that interacts with hardware.
  • Experience with data center servers and AI platforms.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with Peripheral Component Interconnect Express (PCIe) or other high-speed IO protocols and ML SOC architecture.

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.

Our team develops the node and distributed system software, firmware, tools, and testing frameworks essential for integrating Accelerators-such as GPUs, TPUs, and Video Transcoder Accelerators-into the Google Data Center). By supporting these and other emerging domain-specific systems, we enable machine learning and high-performance workloads for both internal services like Gemini and YouTube, and for Google Cloud customers.

This senior software engineering position offers a unique opportunity to influence the entire stack, from the hardware-software interface and computer architecture to the deployment of advanced AI systems. In this role, you will be a versatile engineer with deep expertise in how workloads utilize accelerators and a strong focus on quality and reliability throughout the manufacturing and deployment life-cycle.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We"re the driving channel behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Provide technical leadership on high-impact projects, anchoring the architecture and engineering roadmap of common software for Accelerator platforms.
  • Design, develop, test, deploy, and maintain large-scale software solutions, including board and chip firmware and Linux kernel drivers.
  • Interface and drive industry ecosystem engagement related to various technology standards for modern Accelerator platforms.
  • Facilitate and drive AI transformation across Accelerator software teams by leveraging the latest AI tools to speed up design and development.
  • Influence and coach a distributed team of engineers while managing project priorities, deadlines, and deliverables.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s 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 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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