Applied Machine Learning and AI Engineering Intern
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 2026 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.
Position Profile
We are seeking a motivated and enthusiastic Robotics Engineer Intern to join our dynamic team at Ricoh USA for summer 2026. As a Robotics Engineer Intern, you will gain hands-on experience with advanced robotic systems, work directly with cutting-edge technologies, and contribute to projects that push the boundaries of industrial automation.
Job Duties and Responsibilities
- Assist in the design, development, and testing of robotic systems and components, with an emphasis on collaborative robot (cobot) platforms.
- Contribute to the development of control architectures using ROS2, enabling higher-level autonomy and digital twin integration.
- Develop and integrate sensor fusion techniques across multiple sensing modalities (e.g., cameras, depth sensors, LiDAR) for perception and safety.
- Support algorithm development for computer vision, object detection, and pose estimation.
- Contribute to system development on x86 platforms with NVIDIA GPU acceleration, while also evaluating embedded options (e.g., Jetson Orin) for potential cost, packaging, and performance benefits.
- Support initiatives using NVIDIA Omniverse for visualization, simulation, and digital twin environments.
- Support hardware and software integration across robotics, vision, production printers, and workflow systems to deliver cohesive automation solutions.
- Document project progress and contribute to proof-of-concept demonstrations integrating robotics, vision, and simulation.
QUALIFICATIONS (Education, Experience, and Certifications)
- Working towards - B.S., M.S., or PhD. degree in Computer Science, Computer Engineering, or a related field
- Student must be currently enrolled in an accredited college or university or enrolled to continue their education in an accredited graduate program
- Students must have a cumulative GPA of 3.0 or higher
- Students are to successfully complete all required screenings prior to hire
Knowledge, Skills, and Abilities:
Required
- Enrolled in a Bachelor's or Master’s program in Robotics, Computer Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, or related field.
- Strong interest in robotics, automation, and applied AI.
- Proficiency in Python and C/C++, with experience in robotics and vision libraries (e.g., ROS2, OpenCV, PCL).
- Understanding of sensors (cameras, LiDAR, depth) and hardware/software integration on robotic platforms.
- Excellent problem-solving ability and attention to technical detail.
- Ability to work independently and collaboratively across multidisciplinary teams.
Preferred Skills
- Familiarity with collaborative robots (e.g., UR series) and robotic arm kinematics.
- Experience with ROS2 middleware, simulation frameworks, and motion planning libraries.
- Exposure to object detection and pose estimation methods for manipulation and localization tasks.
- Experience with GPU-accelerated computing on x86 and interest in exploring embedded platforms (e.g., Jetson) for optimized deployments.
- Knowledge of computer graphics concepts and digital twin applications (e.g., NVIDIA Omniverse).
- Research or project experience in embodied robotics and reinforcement learning.
WORKING CONDITIONS, MENTAL AND PHYSICAL DEMANDS
- Typically works in an office environment with adequate lighting and ventilation, and a normal range of temperature and noise level.
- Work assignments are diversified. Interpret, comprehend and apply complex material, data and instruction.
- Prepare, provide and convey diversified information.
- Minimal physical effort required. Work is mostly sedentary but does require walking, standing, bending, reaching, lifting or carrying objects that typically with less than 10 lbs. (e.g., papers, books, files and small parts, etc.).
- Moderate dexterity.
- Regular application of basic skills (calculator, keyboard, hand tools, eye/hand coordination.
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.
Join us and be part of a passionate team advancing robotics automation, vision, and digital twin technology for next-generation industrial solutions.
Ricoh is an EEO/Affirmative Action Employer -- Minorities/Women/Protected Veterans/Disabled.