Robotics Research Scientist: Cloud AI for Robotics

Google; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Vacation days

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google is seeking a Research Scientist to push the boundaries of robotics and AI. You will design and scale experiments across perception, planning, and control, collaborating with hardware teams to deploy solutions in real-world settings.

You will publish findings and contribute to internal projects while advancing core AI capabilities for Google Cloud AI Research. This role emphasizes bridging theory with practical robotic systems and large-scale testing.

Qualifications

• PhD in Computer Science or robotics related fields, or equivalent practical experience.
• 2 years of research experience across robotics domains (navigation, locomotion, manipulation, etc.).
• Publications submissions for major conferences/journals (NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, IROS, CVPR, ECCV, ICCV, etc.).
• Experience coding in Python or C++.

Responsibilities

• Develop novel techniques for robotic grasping, manipulation, planning, navigation, and 3D spatial understanding.
• Design scalable teleoperation systems and data capture interfaces for robot learning.
• Create advanced sim-to-real frameworks for scalable policy learning.
• Architect, test, and deploy hardware-software robotic systems for real-world tasks.
• Collaborate with researchers and engineering teams to push physical AI advancements at Google.

Skills

Research

Publications

Python

C++

Education

PhD in Computer Science or robotics or equivalent experience

Tools

Python

C++

PyTorch

ROS2

OpenCV

Job description

Google is seeking a Research Scientist to push the boundaries of robotics and AI. You will design and scale experiments across perception, planning, and control, collaborating with hardware teams to deploy solutions in real-world settings.

You will publish findings and contribute to internal projects while advancing core AI capabilities for Google Cloud AI Research. This role emphasizes bridging theory with practical robotic systems and large-scale testing.