Senior Staff Engineer, GDC AI Inference Platform

Google LLC

Kirkland, WA

JOB DETAILS
SKILLS
Algorithms, Architectural Services, Artificial Intelligence (AI), Bridge Building, C++ Programming Language, Civil Engineering, Cloud Computing, Computer Science, Consulting, Consumer Packaged Goods, Customer Service Management, Data Structures, Disability Insurance, Distributed Computing, Docker, Energy Efficiency, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Financial Services, Genetics, Go Programming Language (Golang), High Throughput, Inference Engine, Japanese Language, Java, Korean Language, Kotlin, Large-Scale Systems, Leading Edge Technology, Life Insurance, Manufacturing, Modeling Languages, Network Operations Center, Operations Management, Organizational Skills, Product Support, Product/Service Launch, Project/Program Management, Python Programming/Scripting Language, Quality Engineering, Rapid Application Development (RAD), Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Resource Utilization, Sales, Sales Management, Society of Graphic Designers of Canada (GDC), Software Architecture, Software Architecture Design, Software Development, Software Engineering, Stock Purchase Plans, Structural Engineering, Systems Engineering, Team Lead/Manager, Technical Leadership, Testing
LOCATION
Kirkland, WA
POSTED
6 days ago

Senior Staff Engineer, GDC AI Inference Platform - Google Careers

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Senior Staff Engineer, GDC AI Inference Platform

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corporate_fareGoogleplaceSunnyvale, CA, USA; Kirkland, WA, 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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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.
  • 8 years of experience with software development, programming in C++, Java, Python, Kotlin, or Go.
  • 5 years of experience testing, and launching software products.
  • 4 years of experience in technical leadership (as a Tech Lead, Staff, or Principal Engineer) leading the architecture, design, and delivery of large-scale distributed systems or cloud infrastructure platforms.
  • 3 years of experience with software design and architecture.

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.
  • Experience designing orchestration platforms or runtime environments for Agentic AI, focusing on multi-agent coordination, state persistence, tool integration, and secure sandboxed execution.
  • Deep expertise in ML systems engineering, including optimizing LLM serving architectures (e.g., disaggregated serving, speculative decoding, or high-throughput inference engines) and containerization technologies (Kubernetes, Docker).

About the job

Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models.

As a Senior Staff Software Engineer, you will architect the core infrastructure powering Google's most advanced Large Language Models (LLM) and emerging Agentic AI capabilities. Within Google Distributed Cloud (GDC) AI, you will be the principal technical authority managing our next-generation global platform strategy. You will own ambiguous, massive-scale issues across LLM serving and agent orchestration, directly enabling performant, secure AI capabilities for our global enterprise customers.

In this executive-level technical leadership role, you will define the technical vision and roadmap for our high-performance inference stack, optimizing resource utilization and reliability. You will pioneer the frameworks, runtime environments, and tools necessary to support Agentic AI systems. This includes addressing multi-agent coordination, state management, tool integration, and secure, isolated execution environments.

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

  • Define the GDC AI infrastructure roadmap for LLM serving and Agentic AI platforms, managing key architectural decisions, technology choices, and system health.
  • Architect scalable, reliable LLM serving infrastructure, pioneering crucial optimizations like disaggregated serving to maximize resource and hardware efficiency.
  • Build the core platforms and orchestration tools necessary for multi agent systems, seamless tool integration, state persistence, and secure, isolated execution environments.
  • Collaborate with AI Research, Site Reliability Engineering (SRE), Product, and core platform teams to align and deliver integrated, production-ready AI solutions.
  • Resolve ambiguous, high impact systems issues, balancing immediate enterprise customer needs with architectural integrity.

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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