Robotics Automation Technical Lead Manager, Platforms Infrastructure
Google · Sunnyvale, CA · 4 days ago
On-siteEngineeringFull-time
About the role
The Physical Infrastructure Robotics team is dedicated to implementing robotics technologies and solutions to transform operations inside our data centers. This role involves leading the development, integration, and scaling of autonomous physical systems across our global hyperscale data center footprint.
Responsibilities
- Learn more about benefits at Google.
- Collaborate closely with executive leadership to align on Robotics initiatives and roadmap, engineering execution with business goals.
- Build and lead high-performing engineering teams across mechanical, electrical, embedded, and software disciplines within Robotics engineering.
- Provide management support and guidance to internal teams and external partners (including solution vendors and contract manufacturers) throughout the development lifecycle, addressing inquiries and resolving issues as they arise.
- Deliver the multi-year robotics and hardware automation strategy tailored for compute, storage, and specialized liquid-cooled AI hardware infrastructure.
- 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.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in leading cross-functional teams, and robotics product development.
- Experience in robotic control, planning, kinematics, and mechatronic systems.
- Experience in shipping full-stack robotics systems.
- Experience in robotics industry, robotics applications development and turning research and development (R&D) into deployed, real world 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 accelerating robot learning with world models and simulation.
- Familiarity with motion control systems and robotics programming languages (e.g. Robot Operating System) or similar frameworks.
- 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.
- Understanding of low-latency tele-operation infrastructure, haptic feedback integration, and human-in-the-loop systems for remote hardware interventions and data collection.
Benefits
Google offers a comprehensive benefits package including individual pay determined by factors such as job-related skills, experience, and relevant education or training. US: $236,000 - $330,000 (USD) + 25% bonus target + equity + benefits.