Robotics & Cloud AI Research Scientist — Real-World Impact

Socket.dev; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Research Scientist role focuses on large-scale robotic systems and AI-driven automation. You will design experiments, prototype implementations, and deploy innovative techniques for grasping, manipulation, navigation, and 3D understanding in real-world settings.

You will publish findings and collaborate with global universities, with compensation including base salary, bonus, and equity. This role emphasizes bridging theory and hardware across Google Cloud AI research initiatives.

Qualifications

• PhD in CS or robotics or equivalent practical experience.
• 2 years of robotics research across domains (navigation, locomotion, manipulation, data collection for robot learning, sim-to-real transfer, vision-language-action models, world action model development).
• Publications/submissions to NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, IROS, CVPR, ECCV, ICCV, etc.

Responsibilities

• Develop novel techniques for robotic grasping, dexterous manipulation, planning, navigation, and 3D spatial understanding in dynamic physical environments.
• Design scalable teleoperation systems, portable data capture interfaces, and agent-assisted workflows to drive robot learning.
• Create advanced sim-to-real frameworks to enable scalable, generalized policy learning.
• Architect, test, and deploy robust hardware-software robotic systems to automate complex, high-precision physical workflows under real-world constraints.
• Partner with researchers, hardware specialists, and engineering teams to push the frontiers of physical AI across Google.

Skills

Python

C++

PyTorch

JAX

ROS2

OpenCV

Research leadership

Education

PhD in Computer Science or robotics

Job description

Google Research Scientist role focuses on large-scale robotic systems and AI-driven automation. You will design experiments, prototype implementations, and deploy innovative techniques for grasping, manipulation, navigation, and 3D understanding in real-world settings.

You will publish findings and collaborate with global universities, with compensation including base salary, bonus, and equity. This role emphasizes bridging theory and hardware across Google Cloud AI research initiatives.