Surgical Robotics Controls & Autonomy Intern

Johnson & Johnson Innovation; Santa Clara (CA); On-site; USD 44,083,000 - 84,034,000; Full time

Benefits offered by this job

Medical benefits

Sick time benefits

Retirement plan

Job summary

Johnson & Johnson is seeking Robotics Controls & Autonomy Interns in Santa Clara, CA. The internship focuses on developing control algorithms for surgical robotics, with real-time C++ software development and cross-disciplinary collaboration to deliver safe, effective robotic solutions.

You will work alongside robotics engineers, AI specialists, and software teams to prototype, test, and productionize algorithms for next-generation medical robotics platforms.

Qualifications

• Currently pursuing a bachelor’s, graduate or PhD degree.
• Majors include AI, Computer Engineering, Computer Science, Robotics, and Software Engineering.

Responsibilities

• Develop, implement, and test control algorithms for robotic systems.
• Participate in code reviews, testing, and debugging to ensure software quality.
• Collaborate with cross-disciplinary teams to define software architecture and requirements.
• Develop C++ software for real-time, safety-critical applications.
• Document software design, algorithms and implementation details.

Skills

Hands-on robotic hardware

C++ or Python

Kinematics and dynamics

Control theory and estimation

Documentation and communication

Education

Enrolled in accredited bachelor’s, graduate, or PhD program

Majors: AI, Computer Eng, CS, Robotics, Software Eng

Tools

ROS

Simulation tools

Hardware-in-the-loop testing

Job description

Johnson & Johnson is seeking Robotics Controls & Autonomy Interns in Santa Clara, CA. The internship focuses on developing control algorithms for surgical robotics, with real-time C++ software development and cross-disciplinary collaboration to deliver safe, effective robotic solutions.

You will work alongside robotics engineers, AI specialists, and software teams to prototype, test, and productionize algorithms for next-generation medical robotics platforms.