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Internship Google Robotics Engineer information

What does an Internship Google Robotics Engineer do?

An Internship Google Robotics Engineer works as part of Google's robotics teams, assisting in the research, design, and development of robotic systems and technologies. Interns may collaborate on projects involving hardware, software, machine learning, or artificial intelligence to help solve real-world problems. Their responsibilities often include programming, testing prototypes, data analysis, and working closely with experienced engineers. This role provides hands-on experience and mentorship, giving interns a chance to contribute to innovative projects while building valuable technical skills.

Does Google hire robotics engineers?

Google hires robotics engineers for roles involving robotics research, development, and integration within its various projects, including those related to artificial intelligence and automation. Candidates typically need strong skills in programming, robotics systems, and related tools like ROS or TensorFlow. The company offers opportunities for engineers to work on innovative robotics solutions across different teams.

What types of projects can I expect to work on as an Internship Google Robotics Engineer, and how much autonomy will I have?

As an Internship Google Robotics Engineer, you will typically be involved in hands-on projects that contribute to ongoing research or the development of new robotic systems. Projects may include tasks such as improving perception algorithms, testing hardware prototypes, or developing software for robot navigation and manipulation. Interns generally work closely with experienced engineers and researchers, receiving mentorship while also being encouraged to take ownership of specific project components. This collaborative environment allows you to develop technical skills and gain insight into how cross-functional teams operate within Google's robotics division.

What are the key skills and qualifications needed to thrive as an Internship Google Robotics Engineer, and why are they important?

To excel as an Internship Google Robotics Engineer, a solid understanding of robotics fundamentals, programming (especially in Python or C++), and coursework in computer science, engineering, or a related field is typically required. Familiarity with ROS (Robot Operating System), simulation tools like Gazebo, and version control systems such as Git are commonly expected; relevant project experience or academic research is a plus. Problem-solving ability, teamwork, and effective communication are vital soft skills that distinguish top candidates in collaborative and fast-paced environments. These competencies are crucial for contributing to innovative projects, adapting to complex challenges, and ensuring effective collaboration within multidisciplinary teams.

What are the most commonly searched types of Google Robotics Engineer jobs in California?

The most popular types of Google Robotics Engineer jobs in California are:

What are popular job titles related to Internship Google Robotics Engineer jobs in California?

For Internship Google Robotics Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Google Robotics Engineer jobs in California look for?

The top searched job categories for Internship Google Robotics Engineer jobs in California are:

What cities in California are hiring for Internship Google Robotics Engineer jobs?

Cities in California with the most Internship Google Robotics Engineer job openings:

Internship Google Robotics Engineer jobs near you
Infographic showing various Internship Google Robotics Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Hardware Robotics Engineer, Data Centers

Google

Sunnyvale, CA • On-site

Full-time

Posted 2 days ago

New

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

Minimum qualifications:
  • PhD degree in Robotics or a related technical field, or equivalent practical experience.
  • 15 years of experience in robotics systems engineering or architecture, and experience with technical innovation.
  • Experience in the robotics industry, leading robotics applications development and turning Research and Development (R&D) into deployed, real world systems.
  • Experience in robotic control, planning, kinematics, and mechatronic systems.

Preferred qualifications:
  • Experience with embedded systems (e.g., RTOS, microcontrollers, FPGA), sensor fusion, and actuator control.
  • Experience implementing foundational vision-language-action (VLA) models, imitation learning, and reinforcement learning (RL) pipelines to teach robots dynamic object manipulation.
  • Experience executing low-latency teleoperation infrastructure, haptic feedback integration, and human-in-the-loop systems for complex, remote hardware interventions and data collection.
  • Familiarity with motion control systems and robotics programming languages (e.g. Robot Operating System) or similar frameworks.
  • Practical understanding of recent advancements in the robotics field, specifically the application of general-purpose bipedal/wheeled humanoid platforms for flexible, human-centric data center tasks.

About the job
The AI and Infrastructure (AI2) 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. As Principal Engineer, you will define the strategic and technical direction for PIE Robotics roadmap.
In this role, you will lead the strategy and technical development of Data Center hardware robotics systems. You will lead internally and externally, to deliver the robotics automation solutions to enable our scale up and out hardware deployment, repair operations, and final decommission.
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: $275000 - $382000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Scope and develop advanced robotics automation technical solutions for data center hardware required for AI2 business transformation.
  • Collaborate closely with executive leadership, internal and external, regarding AI2's data Center Robotics strategy and ecosystem development.
  • Source and ensure AI2 captures the latest Robotics and AI technologies and solutions from the ecosystem, and rapidly deploy within AI2, to meet the business needs.
  • Lead engineering execution and provide technical leadership for product features and delivery. Oversee the end-to-end deployment of autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and multi-axis robotic arms for handling delicate data center hardware.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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