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Robotics Programming & Testing Intern
Robotics Programming & Testing InternTata Consultancy Services • Pittsburgh, PA, United States
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Robotics Programming & Testing Intern

Robotics Programming & Testing Intern

Tata Consultancy Services • Pittsburgh, PA, United States
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Role - Robotics Programming & Testing Intern

Location - Pittsburgh, PA (Onsite)

Stipend - $20 - $22 / Hr

Duration - 3 Months

Position Overview

Join our innovative robotics team at TCS Medical Robotics Center , TCS Hall on Carnegie Mellon University’s Pittsburgh campus as an intern, contributing to the programming and testing of advanced robotic platforms, with a focus on medical robotics applications. This 3-month internship offers hands-on experience with innovative technology in a collaborative, research-driven environment.

Key Responsibilities

Programming & Development

  • Develop software for robotic platforms, including Misty II social robots, Unitree U6 humanoid robots, mobile robots, and OEM robotic arms with different grippers.
  • Write clean, efficient code in Python, C++, or other relevant languages.
  • Implement algorithms for robot control, navigation, and manipulation, with applications in medical robotics.
  • Integrate sensors, actuators, and control systems for medical and assistive robotic systems.

Testing & Validation

  • Design and execute rigorous testing protocols for robotic systems and software.
  • Conduct functionality, performance, and safety tests, emphasizing medical robotics standards.
  • Document results, troubleshoot issues, and collaborate on solutions.
  • Perform field tests to validate performance in real-world medical scenarios.

    • ROS Development

  • Build and maintain ROS (Robot Operating System) packages and nodes.
  • Create custom message types, services, and action servers for robotics applications.
  • Implement navigation, perception, and manipulation functionalities in ROS.
  • Debug and optimize ROS-based applications for medical robotics.

    • Required Qualifications

    Technical Skills

  • Proficiency in Python and C++ programming
  • Experience with ROS (Robot Operating System)
  • Knowledge of robotics fundamentals (kinematics, control systems, sensor integration)
  • Familiarity with Linux / Ubuntu and version control (Git)
  • Understanding of software development best practices

    • Educational Background

  • Pursuing or recently completed a degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
  • Coursework in robotics, programming, or automation systems

    • Preferred Qualifications

  • Exposure to medical robotics or assistive technologies
  • Experience with robotic platforms (e.g., mobile robots, manipulators, or humanoid systems)
  • Familiarity with computer vision libraries (e.g., OpenCV, PCL)
  • Knowledge of simulation tools (e.g., Gazebo, Coppelia Sim)
  • Understanding of machine learning applications in robotics
  • Experience with hardware interfaces or embedded systems programming

    • Personal Attributes

  • Strong analytical and problem-solving skills
  • Attention to detail and commitment to accuracy in robotics applications
  • Excellent communication skills for interdisciplinary collaboration
  • Interest in healthcare innovation and improving patient outcomes

    • What You'll Gain

  • Hands-on experience with state-of-the-art robotic systems, including medical robotics
  • Proficiency in industry-standard tools and research methodologies
  • Mentorship from leading robotics professionals at CMU
  • Contributions to impactful medical robotics projects
  • Career growth in a high-demand, innovative field

    • Duration & Commitment

  • Duration : 3 months
  • Commitment : [e.g., full-time, part-time, flexible hours]
  • Location : On-site at TCS Hall, Carnegie Mellon University Campus, Pittsburgh, PA

    • Application Requirements

    Please submit :

  • Resume highlighting relevant technical skills, projects, and medical robotics experience
  • Cover letter detailing your passion for robotics, especially medical applications, and interest in this role
  • Portfolio or examples of programming projects (e.g., GitHub links)
  • Academic transcripts (unofficial accepted)
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