Software Engineer Intern - Data & AI Visualization

Ricoh USA, Inc.; Boulder (CO); On-site; USD 36,000 - 48,000; Full time

Benefits offered by this job

Medical, dental, life, and disability

401K

HSA and FSA

Tuition assistance

Paid vacation and holidays

Job summary

Ricoh Graphic Communications, based in Boulder, CO, is seeking a Software Engineering Intern for the Summer 2027 program. You will design, develop, and maintain software tools and data-driven applications to support engineering objectives and business insights.

The role involves working with real-world data and modern development tools, including AWS and responsible Generative AI coding practices, to build scalable, well-documented solutions for stakeholders.

Qualifications

• Pursuing a degree in CS, EE, or related field.
• Experience programming in Python and/or C++.
• Familiarity with Git or similar version control.
• Understanding of basic algorithms and data structures.
• Strong analytical and problem-solving skills.
• Ability to work independently and communicate concepts.

Responsibilities

• Design, develop, and maintain software applications and analysis tools.
• Create data-driven software solutions to support analysis and engineering objectives.
• Collaborate with engineers and stakeholders to translate requirements into solutions.
• Develop automated workflows to improve efficiency and data quality.
• Produce tools or reports to help stakeholders understand results.

Skills

Python

C++

Git

Algorithms

Analytical

Independent work

Communication

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related field

Tools

OpenCV

NumPy

Matplotlib

Job description

Ricoh Graphic Communications, based in Boulder, CO, is seeking a Software Engineering Intern for the Summer 2027 program. You will design, develop, and maintain software tools and data-driven applications to support engineering objectives and business insights.

The role involves working with real-world data and modern development tools, including AWS and responsible Generative AI coding practices, to build scalable, well-documented solutions for stakeholders.