Senior Robotics Automation Engineer, Platforms Infrastructure

About the job

In this role, as a Robotics Automation Hardware Engineer on Google's Physical infrastructure Robotics team, you will join a team dedicated to implementing robotics technologies and solutions to transform operations inside our data centers. You will lead across multiple robotics engineering disciplines to develop innovative and industry-leading solutions to enable next-generation data center operations. In this role, 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 behind Google's groundbreaking innovations, empowering the development of 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: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Set the goal for robotics stack-guiding architecture, systems design, and integration, and 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.
• Lead hardware architecture reviews with software and system teams to identify and address potential gaps in the technical design, ensuring the overall solution performance and scalability.
• Facilitate and participate in design reviews to address technical challenges during the development, document design decisions, specifications, test procedures, and results, maintaining clear and organized records to improve knowledge sharing and project continuity.
• Provide technical support and guidance to internal teams and external partners (including solution vendors and Contract Manufacturers) throughout the development life-cycle, addressing inquiries and resolving issues as they arise.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in mechatronics engineering and robotics product development.
• Experience in shipping full-stack robotics systems.
• Experience in robotics industry, robotics applications development and experience turning Research and Development (R&D) into deployed, real world systems.
• Experience in robotic control, planning, kinematics, and mechatronic systems.

Preferred qualifications:

• 5 years of experience with the overall process for developing robotics products, including experience identifying issues and considerations for delivering a robotics product.
• Experience with sensor integration and calibration for robotics applications, including vision systems, LiDAR, and inertial measurement units (IMUs).
• Experience in project management or leadership roles, including the experience in leading cross-functional teams and driving projects to successful completion.
• Experience with collaborative robot (cobot) systems, human-robot interaction (HRI) design considerations, embedded systems (RTOS, microcontrollers, FPGA), sensor fusion, and actuator control.
• Experience building hardware and embedded architectures that support state estimation, SLAM, and proprioception sensor pipelines, while ensuring compliance with embodied AI safety standards across distributed fleet orchestration environments.
• Familiarity with motion control systems and robotics programming languages such as ROS (Robot Operating System) or similar frameworks.