Robotics Engineer Intern

Robotics Engineer Intern

Job Description

We are seeking a motivated and enthusiastic Robotics Engineer Intern to join our dynamic team at Ricoh USA for summer 2027. As a Robotics Engineer Intern, you will gain hands-on experience with advanced robotic systems, work directly with cutting-edge technologies, including simulation-driven robot training in NVIDIA Isaac Sim, and contribute to projects that push the boundaries of industrial automation.

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.

• Assist in training, fine-tuning, and evaluating deep learning models for

object detection and pose estimation using frameworks such as PyTorch, extending existing computer vision algorithm development work.

• Collect and curate large-scale synthetic training data in NVIDIA Isaac Sim,

leveraging domain randomization and automatic ground-truth labeling for bounding boxes, segmentation masks, depth, and object poses.

• Support robot training in NVIDIA Isaac Sim / Isaac Lab, including

reinforcement learning and imitation learning experiments for grasping, manipulation, and cobot motion tasks.

• Contribute to sim-to-real transfer by validating simulation-trained

perception models and policies on physical cobot hardware, and iterating on scene fidelity and randomization ranges to close the sim-to-real gap.

• 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

• 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).

• Coursework, research, or project experience with deep learning for computer

vision, including hands-on use of a framework such as PyTorch to train and evaluate models.

• 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, including training or fine-tuning your own models rather than only running pretrained ones.

• Hands-on experience with NVIDIA Isaac Sim or Isaac Lab, including synthetic

data generation, domain randomization, or automatic ground-truth labeling.

• Familiarity with reinforcement learning or imitation learning for

manipulation and grasping, using toolkits such as Isaac Lab, Gymnasium, or Stable-Baselines3.

• Awareness of sim-to-real transfer challenges and techniques for closing the

gap between simulated and physical robot behavior.

• 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.

Join us and be part of a passionate team advancing robotics automation, vision, simulation-based robot training, and digital twin technology for next-generation industrial solutions.

Ricoh is an EEO/Affirmative Action Employer -- Minorities/Women/Protected Veterans/Disabled.

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 to help drive high-performance team 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.

Invest in Yourself

At Ricoh, you can

• Choose from a broad selection of medical, dental, life, and disability

insurance options.

• Contribute to your financial security with Retirement Savings Plan (401K),

Health Savings Account (HSA), and Flexible Spending Account (FSA) investments.

• Augment your education with team member tuition assistance programs.
• Enjoy paid vacation time and paid holidays annually
• Tap into many other benefits to enhance your health, wellness, and ongoing

personal and professional development.