Automation & Robotics Engineering Spring Co-op
About this opportunity
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 computing and industrial IoT solution development.
Machine vision and AI applications in manufacturing.
Data-driven process improvement and operational excellence.
Collaboration within a cross-functional engineering organization.
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
The expected pay range for this position is between $27.00 per hour and $61.00 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits
This job posting is anticipated to close on 09/01/2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
Ineligible for severance.
If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.
Required Skills:
Preferred Skills:
The anticipated base pay range for this position is :
$27.00/hr to $61.00/hr
Additional Description for Pay Transparency:
The expected pay range for this position is between $27.00 per hour and $61.00 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
Job details
How this role compares
Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.
We currently track 122 comparable Intern/Fellow/Postdoc Manufacturing & CMC roles across 31 biopharma companies.
Salary context
43 of 122 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 122 comparable roles
+ 5 more countries
Seniority mix
122 of 122 peers have a known seniority level
Therapeutic area mix
1 of 122 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.