Engineering Manager, DSC AI Inference Platform - Google Careers
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Engineering Manager, DSC AI Inference Platform
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corporate_fareGoogleplaceSunnyvale, CA, USA
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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:
Preferred qualifications:
Master"s degree or PhD degree in Computer Science or a related technical field.
5 years of experience working in a complex, matrixed organization.
4 years of experience implementing advanced LLM serving architectures and optimization techniques, such as disaggregated serving, continuous batching, or specialized compiler technologies (e.g., XLA).
3 years of experience utilizing deep-dive ML profiling tools (e.g., Nsight, xprof) to troubleshoot and resolve low-level bottlenecks within major frameworks like JAX, PyTorch, or TensorFlow.
About the job
Like Google"s own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Distributed Cloud (DSC) AI Inference Platform team operates at the critical intersection of Large Language Models (LLMs) and high-performance computing. Our mission is to engineer the future of AI serving infrastructure, driving foundational improvements in efficiency, latency, and throughput. We develop innovative solutions, including disaggregated serving architectures, and build the essential tools to analyze and optimize LLM performance on cutting-edge GPU platforms. Our work directly enables Google to deploy and scale state-of-the-art AI models (like Gemini) effectively and efficiently across Google"s global infrastructure, products, and Cloud.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. 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
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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