---
title: 'Co Op, Embedded Software Engineering: at Smith+Nephew'
description: 'Smith+Nephew is hiring for the Co Op, Embedded Software Engineering: role in
  Andover, MA. See the full description and apply.'
type: job
url: https://www.foundrole.com/jobs/intern-embedded-software-engineering-at-smith-plus-nephew-01a164b1-108a-7834-a2ba-3162fdcef4e1
date: 2026-11-15T01:26:44Z
og_description: 'Join Smith+Nephew as Co Op, Embedded Software Engineering: in Andover, MA. Pays
  $27–$33 per hour. Full-time, on-site role.'
og_image: https://www.foundrole.com/og/xsl1on.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | Smith+Nephew |
| **Location** | Andover, MA |
| **Salary** | $27/hr - $33/hr |
| **Type** | Part Time, Intern |
| **Posted** | Oct 21, 2026 |

## Is this job real?

**Ghost job check:** C · Some flags. Mostly fine, a few things to check.

## Visa sponsorship

- **H-1B:** Smith+Nephew sponsors H-1B visas. It filed 51 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Smith+Nephew.

## Pay for similar jobs

Most similar jobs pay $134,000 – $171,000 a year (median $150,000).

## Description

****This position does not offer visa transfer or sponsorship now or in the future****

Thank you for considering employment with Smith and Nephew. This job opportunity is not currently available for hiring; however, this requisition was established for candidates to express interest in the above position, with a view to progress formally once we are in a position to do so

**This position does not offer visa transfer or sponsorship now or in the future**

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

The R&D intern program will consist of a robust induction plan followed by a 3-month internship across various facets of our Research & Development organization within the Sports Medicine Franchise at S+N. The position will be based in Andover, Massachusetts.

**What will you be doing?**

- This opportunity will involve working with a small team of Electrical and Software Engineers to conduct state-of-the-art research and development of next generation of medical products related to sports medicine.
- Responsibilities include developing and testing new product features.
- Work closely with managers to complete specifically identified internship projects
- Present project conclusion to senior leadership
- Create documentation as required by the Smith and Nephew Quality Management System

**Planned Start Date:** January, 2027

**Program Length:** 6 months

**Location:**

What will you need to be successful?

**Education:**

- Enrolled in an undergraduate Engineering program in Electrical Engineering, Computer Engineering or Computer Science field at an accredited university.
- Major GPA of 3.50 or above preferred
- At least Junior and have taken Basic Electrical Engineering and/or programming courses.

**Experience:**

- Previous applicable internship, part-time or apprenticeship experience is preferred.

**Competencies:**

-
- Proven ability to work effectively in a cross-functional team environment.
- Design experience with electrical and/or software engineering concepts. School projects in embedded systems, C/C++ and/or FPGA are preferable.
- Basic understanding and experience with testing electrical or software designs.
- Basic knowledge of electrical and/or software engineering concepts.
- Exposure to computer vision concepts, applications, or academic projects.
- Interest in artificial intelligence (AI) and machine learning techniques for engineering or medical technology applications.
- Familiarity with image signal processing fundamentals, including image enhancement, analysis, or algorithm development.
- High learning agility
- Strong written and verbal communication and technical writing skills
- Analytical approach to problem solving.
- Experience in the medical device field or other regulated field

You. Unlimited

We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.

Inclusion and Belonging- Committed to Welcoming, Celebrating, and Thriving. Learn more about Employee Inclusion Groups on our website

Other reasons why you will love it here!

**Training:**

Hands-On, Team-Customized, Mentorship

The anticipated base compensation range for this position is $27- $33 USD hourly

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. It is not typical for an individual to be hired at the high end of the range for their role at Smith + Nephew. Compensation decisions are dependent upon the facts and circumstances of each position and candidate.

#LI-ONSITE

Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Stay connected by joining our [Talent Community](https://smithnephew.wd5.myworkdayjobs.com/External/page/4ba17039009510002b17ea5e89c40000).

We're more than just a company - we're a community! Follow us on [L](https://www.linkedin.com/company/smith-&-nephew/)[inkedIn](https://www.linkedin.com/company/smith-&-nephew/) to see how we support and empower our employees and patients every day.  

Check us out on [Glassdoor](https://www.glassdoor.com/Overview/Working-at-Smith-and-Nephew-EI_IE10233.11,27.htm) for a glimpse behind the scenes and a sneak peek into **You. Unlimited.**, life, culture, and benefits at S+N.

Explore our [website](https://www.smith-nephew.com/en/) and learn more about our mission, our team, and the opportunities we offer. 
## Skills

- Signal Processing
- Problem Solving
- Artificial Intelligence
- Medical Devices
- Algorithms
- Basic Electrical Skills
- Quality Management
- Computer Vision
- Learning Agility
- Embedded Systems
- C++
- Quality Assurance Procedures
- Written Communication
- Computer Engineering
- Computer Science
- Medical Technology
- Electrical Engineering
- Communication
- Machine Learning
- Field-Programmable Gate Array (Fpga)

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