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Internship Google Robotics Engineer Jobs in Utah

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT

$100.90K - $132.40K/yr

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93.70K - $122.90K/yr

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93.70K - $122.90K/yr

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

91135789

Mechanical Engineer

Mantua, UT

Bachelor's degree in Mechanical Engineering or related field (Master's a plus). * 1 to 4 years of ... Good experience in mechanical design, automation, robotics, or related areas (internships count)

Altitude AI

Software Engineer

Salt Lake City, UT · On-site

Software Engineer - Full-Time, On-Site Location: Downtown Salt Lake City, UTCompany: Altitude AI ... robotics and automation at companies like Waymo and Google. At Altitude AI, your work will have a ...

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Internship Google Robotics Engineer information

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 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 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.
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Internship Google Robotics Engineer jobs near you
AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Lehi, UT • On-site

$100.90K - $132.40K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Infrastructure Engineer IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Responsibilities:

  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.
  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.
  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.
  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.
  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.
  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.
  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.
  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).
  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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