Principal Engineer, AI Ecosystem

Principal Engineer, AI Ecosystem

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corporate_fareGoogleplaceSunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 morebar_chartDirector+

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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; Seattle, WA, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 15 years of experience in software engineering, focusing on technical innovation, large-scale systems operations, or engineering leadership.
• 10 years of experience working with distributed systems, ML/AI infrastructure, deep learning frameworks, or large-scale compute orchestration.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, High-Performance Computing, or a related field.
• Experience operating at a company-wide or multi-organization level, driving technical direction that influences foundational systems.
• Expertise in HPC, distributed workload schedulers (e.g. Slurm), and managing complex LLM training and inference workloads at massive scale.
• Familiarity with cloud-native orchestration frameworks and an understanding of how to bridge traditional HPC methodologies with modern cloud infrastructure.
• Ability to influence outside lines of formal authority, working effectively within highly matrixed environments to align technical and product strategies.

About the job

Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's technology - all on the cleanest cloud in the industry. 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.

GKE is the industry-leading managed Kubernetes service. As the originator and a large contributor to OSS Kubernetes, our team holds a unique structural position in the industry. Today, the rapid rise of AI and ML workloads is driving a massive paradigm shift, creating entirely new abstractions over Kubernetes and GKE. To lead this evolution, we are expanding our focus into adjacent projects throughout the OSS AI Infrastructure space. Our goal is to leverage our Kubernetes foundation to accelerate innovation globally, and to make GCP the undisputed best place to train and serve accelerated and agentic workloads, seamlessly supporting the frameworks and tools that AI practitioners rely on daily.

As Principal Engineer, you will be in a critical, high-impact individual contributor position within the GKE organization. You will utilize domain expertise in AI/ML frameworks to augment our technical leadership and build out the teams intuition for AI workloads. You will be the technical bridge between GKEs robust infrastructure and the rapidly evolving OSS AI ecosystem (e.g., Ray, Slurm, KubeFlow, PyTorch, NumPy, CUDA). By bringing deep empathy and technical understanding of the AI end-user, you will guide the architectural outlook that builds on and evolves Kubernetes and related projects.

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.

Were the driving force behind Googles 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: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Enable massive scale so that ML engineers working primarily in Python can iterate locally and seamlessly scale to 1,000,000+ accelerators without needing to become experts in infrastructure.
• Act as a proxy for the emerging AI/ML end-user persona, evolving the GKE teams intuition and empathy for real-world problems and opportunities within the AI workload lifecycle.
• Drive the development and architectural outlook of a substrate optimized for Accelerated and Agentic Workloads.
• Imagine, architect, and lead the technical execution of industry-defining standards through both direct, direct technical work and by mentoring and guiding teams of engineers.

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