At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Position Summary

We are seeking a motivated Automation & Robotics Engineering Spring Co-op to support the development, testing, and deployment of automation solutions, mechanized systems, and intelligent manufacturing technologies. The intern will work alongside experienced engineers to improve manufacturing processes, develop automation applications, evaluate system performance, and support continuous improvement initiatives. The role may involve robotic systems, Cartesian motion systems, machine vision, edge computing, and industrial IoT solutions.

Responsibilities

• Assist in the design, development, testing, and deployment of automation and mechanized systems.
• Develop scripts, tools, and software to automate engineering and operational workflows.
• Support system integration, validation, troubleshooting, and performance optimization activities.
• Participate in hardware and software testing, verification, and documentation.
• Assist with development of edge computing and IoT-based solutions for manufacturing and automation applications.
• Collect, analyze, and visualize data from automated equipment and manufacturing processes.
• Collaborate with cross-functional teams including NPI, Manufacturing Engineering, Process Engineering, Quality, and Operations.

Preferred Projects

• Motion control systems (robotic, Cartesian, and automated equipment)
• Machine vision and computer vision applications
• Automated testing frameworks
• Edge computing and IoT device development
• Data analytics and dashboard development
• Artificial intelligence applications for automation and manufacturing
• Digital twin and simulation environments for automation systems

Qualifications Required

• Pursuing a Bachelor's or Master's degree in: Robotics Engineering Mechanical Engineering Electrical Engineering Computer Engineering Computer Science Mechatronics Related Engineering discipline
• Basic programming experience in Python, C++, or MATLAB.
• Strong analytical and problem-solving skills.
• Ability to work independently and in a collaborative team environment.

Preferred

• Experience with robotics or automation platforms (ROS, ROS2, ABB, FANUC, Universal Robots, KUKA, etc.).
• Familiarity with simulation environments such as NVIDIA Isaac Sim.
• Experience with machine vision tools such as OpenCV.
• Experience with edge computing, embedded systems, or IoT device development.
• Experience with automation technologies including PLCs, sensors, actuators, and motion control systems.
• Knowledge of data analysis and visualization tools such as Power BI and Python.
• Understanding of control systems, mechatronics, and industrial automation concepts.

What the Intern Will Learn

• Real-world automation and mechanized system development.
• Automation architecture, deployment, and validation methodologies.
• Edge comp