About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* PhD degree in Robotics or a related technical field, or equivalent practical

experience.

* 15 years of experience in robotics systems engineering or architecture, and

experience with technical innovation.

* Experience in the robotics industry, leading robotics applications

development and turning Research and Development (R&D) into deployed, real

world systems.

* Experience in robotic control, planning, kinematics, and mechatronic systems.

PREFERRED QUALIFICATIONS:

* Experience with embedded systems (e.g., RTOS, microcontrollers, FPGA), sensor

fusion, and actuator control.

* Experience implementing foundational vision-language-action (VLA) models,

imitation learning, and reinforcement learning (RL) pipelines to teach robots

dynamic object manipulation.

* Experience executing low-latency teleoperation infrastructure, haptic

feedback integration, and human-in-the-loop systems for complex, remote

hardware interventions and data collection.

* Familiarity with motion control systems and robotics programming languages

(e.g. Robot Operating System) or similar frameworks.

* Practical understanding of recent advancements in the robotics field,

specifically the application of general-purpose bipedal/wheeled humanoid

platforms for flexible, human-centric data center tasks.

ABOUT THE JOB:

The AI and Infrastructure (AI2) 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. As Principal Engineer, you will define the strategic and

technical direction for PIE Robotics roadmap.

In this role, you will

lead the strategy and technical development of Data
Center hardware robotics systems. You will lead internally and externally, to
deliver the robotics automation solutions to enable our scale up and out
hardware deployment, repair operations, and final decommission.
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: $275000 - $382000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Scope and develop advanced robotics automation technical solutions for data
center hardware required for AI2 business transformation.
* Collaborate closely with executive leadership, internal and external,
regarding AI2's data Center Robotics strategy and ecosystem development.
* Source and ensure AI2 captures the latest Robotics and AI technologies and
solutions from the ecosystem, and rapidly deploy within AI2, to meet the
business needs.
* Lead engineering execution and provide technical leadership for product
features and delivery. Oversee the end-to-end deployment of autonomous mobile
robots (AMRs), automated guided vehicles (AGVs), and multi-axis robotic arms
for handling delicate data center hardware.

Which skills does this role require?

Robotics systems engineeringMechatronic systemsKinematicsRobotic controlSensor fusionVision-language-action modelsHaptic feedbackAutonomous mobile robotsAutomated guided vehiclesRobotic armsData CentersMechatronicsSensor FusionVLA ModelsHaptic FeedbackBipedal RobotsHumanoid PlatformsAMRAGVRobotic ArmsHardware EngineeringAutomationSystems ResearchTPUsVertex AIGCPProduct Strategy

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