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Summer Google Robotics Engineer Jobs in Arizona (NOW HIRING)

$22/hr

Experience using Excel, Word, and Google Docs Travel Requirements & Working Conditions * Minimal ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

$22/hr

Experience using Excel, Word, and Google Docs Travel Requirements & Working Conditions * Minimal ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Experience using Excel, Word, and Google Docs Travel Requirements & Working Conditions * Minimal ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Experience using Excel, Word, and Google Docs Travel Requirements & Working Conditions * Minimal ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Experience using Excel, Word, and Google Docs Travel Requirements & Working Conditions * Minimal ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

$22/hr

Experience using Excel, Word, and Google Docs Travel Requirements & Working Conditions * Minimal ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Showing results 41-60

Summer Google Robotics Engineer information

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 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 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 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 cities in Arizona are hiring for Summer Google Robotics Engineer jobs?

Cities in Arizona with the most Summer Google Robotics Engineer job openings:

Infographic showing various Summer Google Robotics Engineer job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Flagstaff, AZ • Remote

Full-time

Re-posted 14 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.