Principal/Distinguished Engineer, AI Capacity Delivery

Google; Sunnyvale (CA); On-site; USD 364,000 - 505,000; Full time

Job summary

Google seeks a Principal/ Distinguished Engineer for AI Capacity Delivery in Sunnyvale to bridge hardware design and intelligent software automation. You will architect the control plane that manages Google’s next-generation AI fleet (TPUs/GPUs) and deliver highly available data-center infrastructure at scale.

You will apply modern ML platforms to analyze fleet behavior, predict anomalies, and configure hardware, guiding engineers to write optimized testing software for reliability and

Qualifications

• Bachelor's degree or equivalent practical experience in CS/CE or related field.
• 15 years of professional software engineering experience focusing on systems programming, distributed systems or infrastructure orchestration.
• Experience developing low-level systems software interfacing with physical infrastructure.

Responsibilities

• Lead and architect high-performance software control planes for bare-metal systems and distributed data center environments.
• Design self-training ML-driven monitoring and telemetry systems for automated validation.
• Develop software to automate fleet initialization and production readiness.

Skills

Systems programming

Distributed systems

High-performance infrastructure

Bare-metal interfaces

Education

Bachelor's degree

Tools

Hypervisors

Hardware abstraction layers

Custom kernels

Job description

Minimum qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 15 years of professional software engineering experience, with a focus on systems programming, distributed systems, or high-performance infrastructure orchestration.
• Experience developing low-level systems software, virtualization layers, hypervisors, kernel extensions, or software that interfaces directly with physical infrastructure/bare-metal environments.

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Computer Engineering, or related field.
• Significant background in machine learning platforms and infrastructure, with experience applying AI/ML models to automated system testing, hardware qualification, or predictive system reliability.
• Technical expertise building and validating large-scale distributed systems, bare-metal environments, or hyperscale data center networks.
• Exceptional collaborator with a proven track record of influencing cross-functional teams to drive delivery.
• Track record at a hyperscale cloud provider or AI chipmaker, working on low-level infrastructure software (e.g., hypervisors, hardware abstraction layers, or custom kernels).

About The Job

As a Principal/Distinguished Engineer for AI Capacity Delivery, you will bridge the gap between low-level hardware design and intelligent software automation. You will architect the intelligent software control plane that manages, validates, and initializes Google’s next-generation global AI fleet. Your core mission is to drastically accelerate the onboarding and validation of Google’s next-generation AI fleet, including TPUs and GPUs. You will deliver and operate highly available, cost optimized data center infrastructure at speed and scale.

You will leverage modern machine learning platforms to build adaptive, self-training systems that analyze physical fleet behavior, predict anomalies, and automatically configure and validate hardware at scale. This person must develop the necessary hardware qualification tests that ensure that our fleet is reliable, properly configured and healthy enough to perform its mission. You will leverage advanced ML platforms to develop self-training systems that analyze physical hardware behavior and guide engineering teams to write highly optimized software for testing.

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: $364000 - $505000 (USD) + 40% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Lead and architecture the technical strategy for high-performance software control planes that orchestrate, validate, and manage bare-metal systems, custom AI silicon, and distributed data center environments.
• Design and deploy self-training ML-driven monitoring and telemetry systems that automate system validation, replacing legacy test suites with adaptive, self-correcting frameworks.
• Write high-efficiency systems software that automates fleet initialization, minimizing the time it takes to transition physical hardware into live, reliable production capacity.
• Influence the long-term technical roadmap for hardware-software co-design, collaborating closely with TPU, silicon, and distributed systems engineering teams to ensure the reliability and scale of Google's planet scale infrastructure.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .