Principal Data Center Robotics Architect

Google

Sunnyvale (CA)

On-site

USD 275,000 - 382,000

Full time

23 hours ago
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Job summary

Google's AI2 team is seeking a Principal Engineer to define the strategic and technical direction for PIE Robotics roadmap and to lead the development of data center robotic automation systems. You will drive end-to-end deployment of AMRs, AGVs, and multi-axis robotic arms for handling delicate data center hardware, working with executives and external partners.

The role requires leading robotics applications, turning R&D into deployed systems, and delivering scalable, reliable hardware

Qualifications

  • PhD in robotics or related field or equivalent practical experience.
  • 15 years of robotics systems engineering or architecture experience.
  • Experience in robotics industry, leading robotics applications development and deployment to real-world systems.
  • Experience in robotic control, planning, kinematics, and mechatronic systems.

Responsibilities

  • Scope and develop advanced robotics automation solutions for data center hardware.
  • Collaborate with executive leadership on AI2's data center robotics strategy and ecosystem development.
  • Source and deploy latest robotics and AI technologies within AI2 to meet business needs.
  • Lead engineering execution and provide technical leadership for AMRs, AGVs, and robotic arms in data centers.

Skills

Robotics systems engineering
Robotics architecture
R&D to deployed systems
Robotic control
Planning
Kinematics
Mechatronics

Education

PhD in Robotics or related field

Tools

Embedded systems
Sensor fusion
Actuator control
RTOS
FPGA

Job description

Google's AI2 team is seeking a Principal Engineer to define the strategic and technical direction for PIE Robotics roadmap and to lead the development of data center robotic automation systems. You will drive end-to-end deployment of AMRs, AGVs, and multi-axis robotic arms for handling delicate data center hardware, working with executives and external partners.

The role requires leading robotics applications, turning R&D into deployed systems, and delivering scalable, reliable hardware

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