Senior Engineering Manager AI Inference Platform, Distributed Cloud

Senior Engineering Manager AI Inference Platform, Distributed Cloud - Google Careers

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Senior Engineering Manager AI Inference Platform, Distributed Cloud

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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++ or Python.
• 7 years of experience optimizing, profiling, and scaling production-grade systems on GPU accelerators or specialized AI hardware.
• 5 years of experience directly managing and leading engineering teams focused on machine learning infrastructure, AI platforms, or high-performance distributed computing systems.
• 5 years of experience in a people management or team leadership role.
• 4 years of experience managing engineering organizations across multi-team infrastructure dependencies.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.
• 5 years of experience implementing advanced LLM serving architectures and optimization techniques, such as disaggregated serving, continuous batching, or specialized compiler technologies (e.g., XLA).
• 4 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

In this role, you will be pivotal in architecting and optimizing the serving stack for models like Gemini in an on-prem cloud environment, addressing exciting challenges to improve speed and efficiency. This is a unique opportunity to go deep, leading system-level design and performance profiling, ensuring Google"s LLMs run faster and more cost-effectively than ever before.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge 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.

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

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

Learn more about benefits at Google.

Responsibilities

• Lead, mentor, and grow a high-performing team of systems and ML engineers. Drive a culture of excellence, psychological safety, and continuous learning while guiding career paths and OKRs.
• Define the technical vision and strategy for enhancing the LLM serving stack, focusing on performance, scalability, and resource efficiency.
• Oversee the infrastructure and tooling for in-depth performance analysis, profiling, and benchmarking of LLM models on GPU accelerators.
• Partner closely with Research, SRE, Product, and core library teams to optimize and deploy LLMs globally.
• Drive the design, implementation, and optimization of advanced serving architectures-including disaggregated serving-while collaborating with core library and kernel partners to eliminate low-level performance bottlenecks, maximize resource utilization, and minimize latency.

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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