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Google Software Engineer Internship Jobs in Rochester, MN

Danaher

Digital Analyst Internships

Rochester, MN · On-site

$96K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Maximus

Cloud Platform Engineer

Rochester, MN · On-site

$54.50 - $72.75/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3, Band 6 ...

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Google Software Engineer Internship information

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

As of Jul 8, 2026, the average hourly pay for google software engineer internship in Rochester, MN is $25.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $29.33 per hour, depending on experience, location, and employer.

What is the difference between Google Software Engineer Internship vs Google Software Engineer?

AspectGoogle Software Engineer InternshipGoogle Software Engineer
Required CredentialsCurrently enrolled in a Bachelor’s, Master’s, or PhD program; relevant courseworkBachelor’s degree in Computer Science or related field; relevant experience or internships
Work EnvironmentTemporary, project-based, mentored experience during summer or semesterFull-time, ongoing employment with team responsibilities
Employer & Industry UsageInternship program at Google, industry standard for tech internshipsFull-time role at Google, core software development position

The Google Software Engineer Internship is a temporary program designed for students to gain industry experience, while the Google Software Engineer role is a permanent position focused on ongoing software development. Internships often serve as a pathway to full-time employment, with interns gaining valuable skills and networking opportunities. Both roles require strong technical skills, but internships typically have more flexible credentials and are aimed at students seeking industry exposure.

What types of projects do Google Software Engineer Interns typically work on, and how are these projects structured?

Google Software Engineer Interns are usually assigned to real-world projects that are integral to the teams they join. Projects often involve coding, debugging, and collaborating with full-time engineers to develop or improve products and features. Interns are given substantial responsibility, but also receive mentorship and regular feedback from their host and team members. Projects are structured to both challenge interns and help them grow their technical and problem-solving skills, while contributing meaningful results to Google's products or infrastructure.

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

To thrive as a Google Software Engineer Intern, you need strong programming fundamentals, problem-solving abilities, and coursework or experience in computer science, often supported by enrollment in a related degree program. Familiarity with languages like Python, Java, or C++, and exposure to development tools, version control systems, and algorithms is typically expected. Initiative, willingness to learn, effective teamwork, and clear communication are valuable soft skills for excelling in this collaborative and fast-paced environment. These skills and qualities are crucial for contributing to projects, adapting to Google's work culture, and maximizing your learning experience during the internship.

What is a Google Software Engineer Internship?

A Google Software Engineer Internship is a temporary, paid position for students or recent graduates to work on real-world projects alongside experienced engineers at Google. Interns participate in software development, coding, and problem-solving tasks that contribute to Google's products and services. The internship is designed to provide hands-on experience, mentorship, and professional growth opportunities in a fast-paced, innovative environment. Applicants typically need to be pursuing a degree in computer science or a related technical field and demonstrate strong programming skills. The program usually lasts 12-14 weeks and is available in various locations worldwide.
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Google Software Engineer Internship jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • On-site

Other

Re-posted 17 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.

Apply