SW Engineer Intern, Ricoh Graphic Communications

Ricoh Company, Ltd.Boulder, ColoradoHybridInternshipListed 2 hours ago

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About this role

SW Engineer Intern, Ricoh Graphic Communications

Come Create at Ricoh
If you are seeking a team driven by passion and purpose, come create with us at Ricoh. We are a team of information seekers and customer-obsessed collaborators who aspire to deliver the services, solutions, and technologies that empower business success. We are looking for talented, inspired individuals to join us during the summer of 2027 to help drive high-performance teams and our commitment to excellence.

Ricoh is an integrated solutions provider and partner that connects people and technology, creates outstanding customer experiences, and delivers innovation for businesses worldwide. We empower digital workplaces by enabling individuals to work smarter from any location and harness the power of information—how it is collected, stored, managed, and shared—to unlock the potential in every organization. We deliver services and technologies that inspire our customers’ success and guide them toward a better and more sustainable future. If you are seeking a purpose-driven and passionate team, come create with us, and help drive our high-performance culture of excellence into tomorrow.

Project Overview
Quality Development Engineering is seeking a Software Engineering Intern to develop software solutions that collect, process, analyze, and present data in a clear and actionable manner. The project will involve applying software engineering principles to develop, test, and improve software tools, applications, and processes.

The intern will work with real-world data and software systems to solve practical engineering challenges. Responsibilities may include software development, data processing, algorithm design, analysis, visualization, testing, and validation. The project provides an opportunity to apply software engineering principles while working with modern development tools, including AWS, responsible Generative AI coding practices, and industry-standard development methodologies.

This role is ideal for a student interested in software development, data analysis, and building applications that transform data into useful insights. The final solution should be scalable, maintainable, and well-documented, delivering value to engineering and business stakeholders.

Responsibilities
• Design, develop, and maintain software applications and analysis tools.
• Develop software solutions that support data-driven analysis, process improvement, and engineering objectives.
• Collaborate with engineers and stakeholders to understand project requirements and translate them into technical solutions.
• Develop automated workflows to improve efficiency, repeatability, and data quality.
• Create tools, reports, or other communication methods that help stakeholders understand results and make informed decisions.
• Perform testing, debugging, and validation to ensure software reliability and accuracy.
• Document designs, implementation details, and project outcomes.
• Participate in code reviews and follow established software development best practices.
• Use version control systems to manage code and collaborate effectively with team members.
• Present project progress, technical findings, and recommendations to the Product Test Team and leadership.

Required Skills:
• Currently pursuing a degree in Computer Science, Electrical Engineering, or a related Engineering technical field.
• Experience programming in Python and/or C++.
• Familiarity with Git or other code version control systems.
• Understanding of basic algorithms, data structures, and software development practices.
• Strong analytical and problem-solving skills.
• Ability to work independently and communicate technical concepts effectively.

Preferred Skills:
• Experience with software development, data analysis, or technical problem-solving
• Familiarity with libraries such as OpenCV, NumPy, Matplotlib, or similar tools.
• Exposure to engineering, scientific, or analytical tools and methodologies.
• Experience developing data visualizations, dashboards, or graphical user interfaces.
• Interest in technology, product quality, process improvement, or applied engineering challenges.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.