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Internship Google Robotics Engineer Jobs (NOW HIRING)

Staff Robotics Engineer

Mountain View, CA · On-site

$210K - $259K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... Hardware Engineering is an innovative and collaborative group of electrical, mechanical ...

Staff Robotics Engineer

Mountain View, CA · On-site +1

$210K - $259K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... Hardware Engineering is an innovative and collaborative group of electrical, mechanical ...

We've raised $20M from top-tier investors including Y Combinator and Google Ventures -and we're ... What We're Looking For We're hiring full-stack robotics engineers to keep The Grid operational and ...

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Internship Google Robotics Engineer information

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How much do internship google robotics engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for internship google robotics engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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.

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.
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Robotics & Innovation Engineer

Robotics & Innovation Engineer

Gedeon GRC Consulting

Newark, NJ • On-site, Remote

$120K - $135K/yr

Contractor

Medical, Retirement, PTO

Posted 29 days ago


Job description

Gedeon GRC Consulting is looking for a Robotics & Innovation Engineer to join our firm! The Robotics & Innovation Engineer would support the development and deployment of emerging technologies across the firm's engineering and construction workflows. This role focuses on advancing robotics, sensing systems, data pipelines, and intelligent automation to improve how infrastructure is inspected, analyzed, and delivered. The position operates at the intersection of research and field application, translating new technologies into scalable solutions that enhance productivity, safety, and decision-making across projects.
 
SALARY RANGE:
$120,000 - $135,000 annually, Pay commensurate with experience.
 
LOCATION:
Options of Remote, Hybrid (local to the NYC Metro Area) or in office at our Newark, NJ location.

TRAVEL:
This position requires travel (less than 50%).

 BENEFITS:
90% Company contribution towards all Health Insurance Plans, 401K Match, PTO, Bonus Potential, 10 Paid Company Holidays, and much more.
 
RESPONSIBILITIES: 
❖ Support the design, development, and evaluation of robotic and sensor-based systems for applications such as inspection, surveying, mapping, and construction monitoring.
❖ Develop and implement data processing and analysis workflows to extract actionable insights from imagery, sensor data, and field-collected datasets.
❖ Contribute to the development of automation and AI/ML solutions that improve engineering processes and operational efficiency.
❖ Assist in integrating emerging technologies (e.g., robotics, computer vision, geospatial systems, digital twins) into existing company workflows.
❖ Support field deployment, testing, and validation of new tools and systems in real-world project environments.
❖ Collaborate with internal teams to identify opportunities for innovation, process improvement, and technology adoption.
❖ Maintain and improve existing research and deployed systems based on performance, feedback, and evolving project needs.
❖ Contribute to research initiatives, pilot programs, and grant-funded projects, including prototyping and reporting.
❖ Prepare visualizations, models, and reports to communicate findings and support decision-making.
 


QUALIFICATIONS:
❖ Bachelor's or Master's degree in Engineering, Computer Science, Robotics, or a related field and 5+ or 2+ years professional experience respectively.
❖ Advanced degree (e.g., PhD) with internship, academic project, co-op, or entry-level experience involving programming, process automation, workflow improvement, dataset development, or business technology implementation is preferred but not required.
❖ Experience working on applied technology, research, or field-based engineering projects preferred.
❖ US Driver's License.
❖ FAA Part 107 License is preferred.
❖ Experience or strong interest in robotics systems and field-deployed technologies.
❖ Experience or strong interest in data analysis, automation, or applied AI/ML.
❖ Experience or strong interest in engineering workflows within AEC, infrastructure, or related industries.
❖ Proficiency in Python or similar programming languages.
❖ Proficiency in data processing and visualization tools.
❖ Familiarity with computer vision or image processing.
❖ Familiarity with sensor data integration (e.g., LiDAR, thermal, geospatial data).
❖ Familiarity with robotics software stacks (e.g., ROS or equivalent).
❖ Familiarity with BIM, CAD, or geospatial platforms.
❖ Strong problem-solving and analytical skills.
❖ Ability to work across disciplines and translate technical concepts into practical applications.
❖ Effective communication and collaboration skills.
Education:Employment Type: CONTRACTOR