Technical Lead, AI/ML Infrastructure

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Advertising, Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, C Programming Language, C++ Programming Language, Cloud Computing, Computer Engineering, Computer Firmware, Computer Science, Computer Skills, Computer Storage Hardware, Computer Systems, Construction, Cross-Functional, Cryptography, Data Storage, Data Structures, Distributed Computing, English Language, Equal Employment Opportunity (EEO), Genetics, Go Programming Language (Golang), Hardware Architecture, High Availability, High Tech Industry, Industry Standards, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Manufacturing Operations Management, Matrix Management, Natural Language Processing (NLP), Network Design, Network Operations Center, Operating Systems, Operations Management, Operations Research, Operations Security (OPSEC), Product Management, Product/Service Launch, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Server Architecture, Software Development, Software Engineering, Stock Purchase Plans, Supply Chain Operations, Systems/Internals Programming, Team Lead/Manager, Technical Leadership, Telemetry, Testing, Topology, User Interface Design, YouTube
LOCATION
Sunnyvale, CA
POSTED
8 days ago

Technical Lead, AI/ML Infrastructure - Google Careers

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Technical Lead, AI/ML Infrastructure

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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 software development experience in C, C++, Go, or Python.

  • 5 years of experience testing, and launching software products.

  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

  • 3 years of experience designing, building, and operating large-scale distributed systems, high-performance networking stacks, or operating system internals.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.

  • 8 years of experience with data structures/algorithms.

  • 3 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 lower-half server architectures, hardware-adjacent orchestration, and low-level security implementations.

  • Experience with Kubernetes and Google-internal cluster systems, alongside a proven ability to build telemetry pipelines and monitoring systems for distributed hardware.

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.

The Emergent AI infrastructure team in Google is looking to build the next generation of on-prem AI infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance AI around the world.

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

We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead the design and end-to-end software delivery of specialized AI compute platforms, ensuring high availability for massive-scale workloads.
  • Establish observability and hardening strategies for the lower-half software stack, including firmware, and hardware qualification.
  • Architect robust integration interfaces between custom compute topologies and industry-standard workload schedulers like Kubernetes and GKE.
  • Architect secure boot and cryptographic remote attestation flows for distributed hardware platforms.
  • Partner closely with hardware engineering and chip design teams to influence future architectures for large-scale deployment.

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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