Medical Devices Software Test Engineer Co-op

Johnson Johnson

Danvers (MA)

On-site

USD 33,000 - 72,000

Part time

4 days ago
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Job summary

Johnson & Johnson in Danvers, MA is seeking a Software Test Engineer Co-op to join our Software Engineering (RLM) team. You will develop and execute automated tests for medical device software, using Pytest and in-house tools, while gaining hands-on experience in end-to-end testing.

The role emphasizes collaboration with developers and QA, test planning, bug tracking, and code quality reviews. Ideal candidates are pursuing CS/SE with coursework in embedded systems and strong problem-solving,

Qualifications

  • Pursuing degree in Computer Science, Software Engineering, Electronics, or related field.
  • Coursework in electrical engineering, signals and systems, and embedded devices is a plus.

Responsibilities

  • Test Automation: develop and maintain automated tests using Pytest for medical device software.
  • Test Planning: design comprehensive test plans with developers and QA.
  • Bug Identification: document and track defects; collaborate to resolve issues.
  • Code Quality Assurance: participate in code reviews to ensure standards.
  • Test Execution: perform manual and automated testing for functionality and performance.
  • Test Reporting: generate test reports and provide insights for improvements.
  • Continuous Improvement: help improve testing processes and learn new tools.

Skills

Pytest
SQL
Python
C
Rust
JavaScript
Git
Analytical thinking
Communication
Teamwork

Education

Pursuing CS/Software Eng degree
EE coursework (signals & systems)

Tools

MySQL
PostgreSQL
NoSQL
Git

Job description

Johnson & Johnson in Danvers, MA is seeking a Software Test Engineer Co-op to join our Software Engineering (RLM) team. You will develop and execute automated tests for medical device software, using Pytest and in-house tools, while gaining hands-on experience in end-to-end testing.

The role emphasizes collaboration with developers and QA, test planning, bug tracking, and code quality reviews. Ideal candidates are pursuing CS/SE with coursework in embedded systems and strong problem-solving,

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