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Summer Google Robotics Engineer Jobs in Utah (NOW HIRING)

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/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

$93K - $122K/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

$100K - $132K/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

$100K - $132K/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

$93K - $122K/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 Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions ... Contribute to cloud deployment tasks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud ...

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All JobsSummer Google Robotics Engineer JobsSummer Google Robotics Engineer Jobs in Utah

Summer Google Robotics Engineer information

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

To thrive as a Summer Google Robotics Engineer, you need a solid background in computer science or engineering, strong programming skills (often in Python, C++, or Java), and experience with robotics fundamentals such as perception, control systems, and machine learning. Familiarity with tools like ROS (Robot Operating System), simulation environments, and version control systems (e.g., Git) is typically required. Effective problem-solving, teamwork, and adaptability are crucial soft skills for collaborating on cross-functional projects and tackling complex engineering challenges. These capabilities ensure you can contribute to innovative robotics solutions and integrate seamlessly into dynamic engineering teams.

What types of projects and technologies do Summer Google Robotics Engineers typically work on during their internship?

As a Summer Google Robotics Engineer, you can expect to work on innovative projects involving robotic hardware, software, and artificial intelligence. Interns often collaborate with experienced engineers to develop and test algorithms for perception, motion planning, or manipulation, and may contribute to the design of robotic systems or prototypes. You'll use technologies such as ROS (Robot Operating System), Python, C++, and various machine learning frameworks, while participating in code reviews and team meetings to refine solutions. This hands-on experience is valuable for building technical skills and gaining exposure to real-world robotics challenges in a collaborative, fast-paced environment.

What is the difference between Summer Google Robotics Engineer vs Summer Robotics Software Engineer?

AspectSummer Google Robotics EngineerSummer Robotics Software Engineer
Required CredentialsRelevant engineering degrees, robotics certificationsComputer science or software engineering degrees, coding certifications
Work EnvironmentHands-on robotics development, hardware integrationSoftware development, simulation, coding tasks
Employer & Industry UsageGoogle's robotics projects, autonomous systemsRobotics software solutions, automation tools

The Summer Google Robotics Engineer role focuses on both hardware and software aspects of robotics projects, requiring knowledge of mechanical systems and electronics. In contrast, the Summer Robotics Software Engineer primarily concentrates on developing and testing software for robotics applications. Both roles involve programming and problem-solving but differ in their emphasis on hardware versus software development.

What is a Summer Google Robotics Engineer?

A Summer Google Robotics Engineer is an intern or temporary employee who works at Google during the summer months, focusing on robotics projects. Their responsibilities often include designing, developing, and testing robotic systems, software, and hardware. They collaborate with experienced engineers to contribute to ongoing research and development in areas like machine learning, computer vision, and automation. The position is ideal for students or recent graduates seeking hands-on experience in robotics at one of the world’s leading technology companies.
What are popular job titles related to Summer Google Robotics Engineer jobs in Utah? For Summer Google Robotics Engineer jobs in Utah, the most frequently searched job titles are:
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What cities in Utah are hiring for Summer Google Robotics Engineer jobs? Cities in Utah with the most Summer Google Robotics Engineer job openings:
Summer Google Robotics Engineer jobs near you

AI Infrastructure Engineer IV

Autonomous Solutions

Lehi, UT • On-site

$100K - $132K/yr

Full-time

Re-posted yesterday

Job description

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.


Job Posted by ApplicantPro