Hybrid Research Engineer: Materials R&D & Testing

General Motors Corporation

Warren (MI)

Hybrid

USD 90,000 - 120,000

Full time

3 days ago
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Job summary

General Motors Corporation seeks a Research Engineer in Warren, Michigan to advance materials testing and process development. You will maintain lab safety, calibrate equipment, and prepare metallurgical samples for microstructural analysis and mechanical tests, documenting results for engineering teams.

The role demands hands-on R&D experience, strong data interpretation, and the ability to work independently or with multidisciplinary groups in a hybrid environment.

Qualifications

  • Bachelor’s degree in engineering or related field, or equivalent experience.
  • 3–5 years' hands-on R&D laboratory experience.
  • Experience with tensile/hardness testing and data-driven problem solving.
  • Strong ability to interpret technical data and communicate findings.

Responsibilities

  • Maintain, calibrate, and troubleshoot lab instruments and setups.
  • Extract specimens and prepare metallurgical samples for analysis.
  • Perform microstructural characterization and mechanical evaluations.
  • Document procedures, results, and provide insights to teams.
  • Operate general machine shop and fabrication tools safely.

Skills

Tensile testing
Hardness testing
Mechanical property evaluation
Data-driven problem solving
Technical data interpretation
Oral and written communication
Independent and collaborative work
Adaptability to ambiguity
Safety compliance

Education

Bachelor’s degree in engineering

Tools

Tensile testing equipment
Hardness testing equipment
Microscopy facilities
Machine shop tools

Job description

General Motors Corporation seeks a Research Engineer in Warren, Michigan to advance materials testing and process development. You will maintain lab safety, calibrate equipment, and prepare metallurgical samples for microstructural analysis and mechanical tests, documenting results for engineering teams.

The role demands hands-on R&D experience, strong data interpretation, and the ability to work independently or with multidisciplinary groups in a hybrid environment.

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