This team is dedicated to implementing robotics technologies and solutions to transform operations inside our data centers. In this role, you will lead across multiple robotics engineering disciplines to develop innovative and industry-leading solutions to enable next generation data center operations. You will collaborate closely with hardware, software and system engineers to ensure seamless product integration, and integration of the solutions into our infrastructure operations.
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: $188000 - $275000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at Google.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in mechatronics engineering and robotics product development.
- Experience deploying or shipping full-stack robotics systems.
- Experience with robotics applications development, or transitioning research and development (R&D) projects into deployed systems.
- Experience with robotic control, planning, kinematics, or mechatronic systems.
Preferred qualifications:
- 8 years of experience with the overall process for developing robotics products, including experience identifying issues and considerations for delivering a robotics product.
- Experience with collaborative robot systems, human-robot interaction design considerations, embedded systems, sensor fusion, and actuator control.
- Experience building hardware and embedded architectures for state estimation, SLAM, and proprioception pipelines, ensuring compliance with embodied AI safety standards across distributed fleets.
- Experience with sensor integration and calibration for robotics applications, including vision systems, LiDAR, and inertial measurement units.
- Experience in project management or leading cross-functional teams.
- Familiarity with motion control systems and robotics programming languages (e.g., ROS.)