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Ricoh UK

Robotics Engineer Intern

Ricoh UK

. Assist in designing, developing, and testing robotic systems and components, emphasizing collaborative robot platforms .

Posted 10/2/2026internshipBoulder • Colorado • United StatesEntry Level💰 $26 - $35 per hourWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing robotic systems, with a strong focus on control architectures, sensor fusion, and deep learning model training. Proficient in integrating hardware and software across robotic platforms while addressing sim-to-real challenges.

Highest-signal resume keywords
Python ProgrammingC/C++ ProgrammingROS2 MiddlewareDeep Learning with PyTorchNVIDIA Isaac Sim

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
RoboticsComputer VisionObject DetectionPose EstimationSensor FusionReinforcement LearningImitation LearningDigital Twin IntegrationGPU-Accelerated ComputingCollaborative Robots
Soft Skills
Problem-SolvingAttention to DetailCollaborationIndependence
Tools & Technologies
NVIDIA OmniverseOpenCVPCLJetson OrinIsaac Lab
Industry Keywords
RoboticsAutomationApplied AISimulation FrameworksMotion Planning

Tech Stack

Tools & technologies
PythonPyTorchC++

About the role

Key responsibilities & impact
  • Assist in designing, developing, and testing robotic systems and components, emphasizing collaborative robot platforms
  • Contribute to control architectures using ROS2 for higher-level autonomy and digital twin integration
  • Develop and integrate sensor fusion across cameras, depth sensors, and LiDAR for perception and safety
  • Support computer vision, object detection, and pose estimation algorithm development
  • Train, fine-tune, and evaluate deep learning models using PyTorch
  • Collect and curate synthetic training data in NVIDIA Isaac Sim using domain randomization and automatic ground-truth labeling
  • Support robot training in NVIDIA Isaac Sim and Isaac Lab through reinforcement learning and imitation learning experiments
  • Validate simulation-trained perception models and policies on physical cobot hardware and help close the sim-to-real gap
  • Develop on x86 platforms with NVIDIA GPU acceleration and evaluate embedded platforms such as Jetson Orin
  • Support NVIDIA Omniverse visualization, simulation, and digital twin initiatives
  • Integrate hardware and software across robotics, vision, production printers, and workflow systems
  • Document project progress and contribute to proof-of-concept demonstrations

Requirements

What you’ll need
  • 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 such as ROS2, OpenCV, and PCL
  • Coursework, research, or project experience with deep learning for computer vision, including hands-on use of PyTorch to train and evaluate models
  • Understanding of cameras, LiDAR, depth sensors, and hardware/software integration on robotic platforms
  • Familiarity with collaborative robots and robotic arm kinematics
  • Experience with ROS2 middleware, simulation frameworks, and motion planning libraries
  • Exposure to object detection and pose estimation methods, including training or fine-tuning models
  • Hands-on experience with NVIDIA Isaac Sim or Isaac Lab, synthetic data generation, domain randomization, or automatic ground-truth labeling
  • Familiarity with reinforcement learning or imitation learning for manipulation and grasping using Isaac Lab, Gymnasium, or Stable-Baselines3
  • Awareness of sim-to-real transfer challenges and techniques
  • Experience with GPU-accelerated computing on x86 and interest in embedded platforms such as Jetson
  • Knowledge of computer graphics concepts and digital twin applications such as NVIDIA Omniverse
  • Excellent problem-solving ability and attention to technical detail
  • Ability to work independently and collaboratively across multidisciplinary teams

Benefits

Comp & perks
  • Medical, dental, life, and disability insurance options
  • Retirement Savings Plan (401K)
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • Team member tuition assistance programs
  • Paid vacation time
  • Paid holidays annually
  • Other health, wellness, and ongoing personal and professional development benefits
  • Relocation available