Systems & Simulation Engineering Intern - Robotics R&D

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.

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

• Support the development and execution of system-level and subsystem-level simulations for robotic surgical platforms.

• Collaborate with systems, mechanical, electrical, controls, and software engineers to model system behavior and evaluate design performance.

• Analyze simulation and test data to identify trends, characterize system performance, and provide recommendations to guide engineering decisions.

• Assist with requirements development, traceability, and verification planning to ensure system designs meet intended performance objectives.

• Support system architecture studies, tradeoff analyses, and interface definition activities across multidisciplinary teams.

• Develop and maintain technical documentation, engineering reports, and presentations summarizing simulation methodologies, assumptions, results, and conclusions.

• Support laboratory testing and correlation of simulation results with experimental data.

• Contribute to the creation of tools, scripts, or automation workflows that improve analysis, simulation, and engineering efficiency.

This internship track covers a range of Systems Engineering and Simulation-focused roles. Responsibilities will vary depending on the specific project, team, or business need and may include system architecture, requirements engineering, verification and validation, modeling and simulation, controls analysis, performance characterization, or robotics-focused system development activities.

Applicants must be pursuing a graduate degree or a bachelor’s degree (junior or senior) in Systems Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Biomedical Engineering, Computer Engineering, Physics, or a related technical field, and must plan to return to an academic program after the completion of the internship.

• Self-starter with a consistent record of engaging in self-directed learning and remaining productive with minimal direction.

• Fundamental understanding of engineering principles including dynamics, controls, robotics, mechanics, or system modeling.

• Experience using engineering analysis, simulation, or computational tools through coursework, research projects, design teams, or internships.

• Experience collecting, analyzing, and interpreting technical data to draw meaningful conclusions.

• Strong written and verbal communication skills with the ability to document technical work clearly.

• Available to work full-time (40 hours/week) and during hours agreed upon with the hiring manager.

• Minimum cumulative GPA of 3.0 reflective of all coursework.

• Commitment to June 1 – August 20, 2027, or June 21 – September 10, 2027; term dates to align with cohort.

• Must have work authorization in the United States at the time of hire and maintain ongoing work authorization during employment.

• Demonstrated ability to rapidly learn, evaluate, and adopt new AI tools and platforms to meet evolving project needs.

• Experience with simulation and modeling tools such as MATLAB/Simulink, ANSYS, Abaqus, Simscape, Gazebo, or similar platforms.

• Familiarity with finite element analysis (FEA), multibody dynamics, controls simulation, or system performance modeling.

• Programming experience in Python, MATLAB, C++, or similar languages.

• Experience developing scripts to automate data analysis, simulation workflows, or testing activities.

• Exposure to systems engineering concepts such as requirements development, requirements traceability, interface management, risk analysis, or verification and validation.

• Experience partitioning and decomposing complex engineering problems into solvable problems.

• Experience with robotics, autonomous systems, medical devices, or other complex electromechanical systems.

• Familiarity with Model-Based Systems Engineering (MBSE), SysML, JAMA, DOORS, or similar systems engineering tools.

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