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Internship Google Robotics Engineer Jobs (NOW HIRING)

MOBY Robotics

Paid Robotics Internship

Miami, FL · On-site

$18.25 - $24/hr

We are looking for a Robotics Engineering Intern to help develop the AUV's core hardware systems ... Path to a full-time role or extended internship * Field work and ocean deployments of hardware

Symbotic

New Grad- Robotics Controls Engineer

Austin, TX · On-site

$96K - $132K/yr

Academic or internship experience with robotics, control systems, or mobile robot applications (e.g., localization, navigation, manipulation). * Familiarity with programming in C++ and foundational ...

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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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Senior Full Stack Software Engineer - Robotics & AI Infrastructure

Finoit Inc.

Redwood City, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Senior Full Stack Software Engineer – Robotics & AI Infrastructure

Location: Redwood City, CA (Onsite)
Job Type: Full-Time
Compensation: Open / Competitive

Job Description

We are seeking a highly skilled Full Stack Software Engineer to help build and scale next-generation AI-driven robotics infrastructure. This role is ideal for engineers who enjoy solving complex real-world deployment challenges involving cloud systems, edge devices, hardware integration, and scalable software platforms.

You will work closely with operations, AI research, and platform engineering teams to design systems that support deployment, monitoring, diagnostics, automation, and fleet operations for intelligent robotic platforms operating in dynamic environments.

Key Responsibilities

• Design and develop deployment platforms, operational tooling, monitoring systems, and automation frameworks for robotics infrastructure
• Build internal applications for robot configuration, fleet management, diagnostics, operational dashboards, and data workflows
• Develop scalable backend services and distributed systems supporting edge devices and cloud infrastructure
• Collaborate with operations and engineering teams to standardize deployment processes and improve reliability across multiple environments
• Create pipelines for data collection, performance tracking, failure analysis, and model improvement workflows
• Architect highly reliable systems bridging hardware devices, on-robot applications, and cloud platforms
• Drive engineering best practices including testing, CI/CD, observability, scalability, and system reliability
• Work cross-functionally with AI researchers, hardware engineers, and infrastructure teams to deliver production-ready systems

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or related field
• 3+ years of professional software engineering experience
• Strong experience in full stack and backend software development
• Excellent understanding of system design, distributed systems, and scalable architecture
• Proficiency with Python and modern software engineering practices
• Experience working with cloud platforms such as AWS, Google Cloud Platform, or Azure
• Hands-on experience with Docker, Kubernetes, containerized applications, and orchestration tools
• Experience integrating software systems with hardware devices, edge systems, or data collection platforms
• Strong communication and collaboration skills across technical and operational teams
• Ability to thrive in fast-paced, ambiguous, and highly technical environments

Preferred Qualifications

• Experience in robotics, autonomous systems, IoT, or edge computing
• Background in fleet operations, deployment tooling, or hardware infrastructure systems
• Experience handling production stability, edge-case debugging, and operational scalability
• Familiarity with frontend technologies, Unity, C#, or VR development is a plus

Why Join

• Work on cutting-edge AI and robotics technology solving real-world problems
• Collaborate with highly technical teams across AI, infrastructure, and hardware engineering
• Build scalable systems powering next-generation intelligent platforms
• Competitive compensation and high-impact engineering work

Keywords:
Full Stack Engineer, Robotics Engineer, AI Infrastructure, Python Developer, Distributed Systems, Kubernetes, Docker, AWS, Google Cloud Platform, Edge Computing, Cloud Infrastructure, Fleet Management, System Design, Backend Engineer, Robotics Software Engineer

Apply