Electrical & Firmware Test Engineer — NPI & Automation

iFIT

Kentucky

On-site

USD 85,000 - 95,000

Full time

14 days+
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Job summary

iFIT is seeking an ambitious Product Test Engineer (Electrical/Firmware) to join our team onsite in Logan, Utah. You will help design and execute comprehensive test plans for new product development, validate performance and safety, and ensure robust verification before market release.

This role emphasizes collaboration across R&D, Manufacturing and Quality Assurance. You will drive test automation, integrate AI-assisted routines to improve efficiency, perform root-cause analysis of failures,

Qualifications

  • Bachelor’s degree in Engineering, Firmware, or Electrical Engineering.
  • 2+ years in product test engineering or validation.
  • Familiar with the NPI process and testing, validation, and troubleshooting.
  • Strong background in test methodologies, test equipment, and automated testing processes.
  • Proven ability to work within a cross-functional team and communicate effectively.

Responsibilities

  • Design test protocols for new products and changes.
  • Document test procedures, results, changes, and blockers clearly.
  • Develop automated systems for data collection and reporting.
  • Lead root cause analysis and troubleshooting for test failures.
  • Ensure compliance with industry standards and validation plans.

Skills

Product test engineering
NPI process
Automated testing
Cross-functional collaboration
Troubleshooting
Documentation

Education

Bachelor’s degree in Engineering

Tools

Test equipment
Automation software
AI integration in testing

Job description

iFIT is seeking an ambitious Product Test Engineer (Electrical/Firmware) to join our team onsite in Logan, Utah. You will help design and execute comprehensive test plans for new product development, validate performance and safety, and ensure robust verification before market release.

This role emphasizes collaboration across R&D, Manufacturing and Quality Assurance. You will drive test automation, integrate AI-assisted routines to improve efficiency, perform root-cause analysis of failures,

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