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Vibration engineer vs engineering scientist

The differences between vibration engineers and engineering scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a vibration engineer and an engineering scientist. Additionally, a vibration engineer has an average salary of $98,853, which is higher than the $90,138 average annual salary of an engineering scientist.

The top three skills for a vibration engineer include MATLAB, data analysis and NVH. The most important skills for an engineering scientist are C++, python, and data analysis.

Vibration engineer vs engineering scientist overview

Vibration EngineerEngineering Scientist
Yearly salary$98,853$90,138
Hourly rate$47.53$43.34
Growth rate6%6%
Number of jobs21,28597,496
Job satisfaction--
Most common degreeBachelor's Degree, 74%Bachelor's Degree, 72%
Average age4444
Years of experience44

Vibration engineer vs engineering scientist salary

Vibration engineers and engineering scientists have different pay scales, as shown below.

Vibration EngineerEngineering Scientist
Average salary$98,853$90,138
Salary rangeBetween $69,000 And $140,000Between $65,000 And $124,000
Highest paying CityFremont, CASouth San Francisco, CA
Highest paying stateCaliforniaArizona
Best paying companyAppleApple
Best paying industry-Automotive

Differences between vibration engineer and engineering scientist education

There are a few differences between a vibration engineer and an engineering scientist in terms of educational background:

Vibration EngineerEngineering Scientist
Most common degreeBachelor's Degree, 74%Bachelor's Degree, 72%
Most common majorMechanical EngineeringElectrical Engineering
Most common collegeMassachusetts Institute of TechnologyGeorgia Institute of Technology

Vibration engineer vs engineering scientist demographics

Here are the differences between vibration engineers' and engineering scientists' demographics:

Vibration EngineerEngineering Scientist
Average age4444
Gender ratioMale, 94.0% Female, 6.0%Male, 80.2% Female, 19.8%
Race ratioBlack or African American, 3.8% Unknown, 4.3% Hispanic or Latino, 9.1% Asian, 19.2% White, 63.3% American Indian and Alaska Native, 0.3%Black or African American, 4.1% Unknown, 4.4% Hispanic or Latino, 10.4% Asian, 14.6% White, 66.3% American Indian and Alaska Native, 0.3%
LGBT Percentage8%8%

Differences between vibration engineer and engineering scientist duties and responsibilities

Vibration engineer example responsibilities.

  • Manage Jenkins security by providing specific access to authorize developers/testers using project base matrix authorization strategy.
  • Perform transfer path analysis to root cause dominant paths and contributions to NVH performance issues.
  • Create and review dynamic FEA models in PATRAN/NASTRAN.
  • Develop comparisons of competition for vehicle air bind using LMS software.
  • Develop a frequency-base stencil for condition base monitoring and accepting/rejecting transmissions and torque converters base on NVH.
  • Develop simulation strategies for designing and evaluating ultrasonic horns and transducers using vibration finite element analysis (FEA).
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Engineering scientist example responsibilities.

  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Work as a team member building PowerPoint presentations.
  • Determine socket port connections using Linux tools and research TCP errors.
  • Support design and prototyping of a small, portable numerical control drill tool.
  • Deliver on time software models on UNIX / Linux base systems for simulation applications.
  • Conduct system level specifications flow down to the sensor level for various DOD and NASA programs.
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Vibration engineer vs engineering scientist skills

Common vibration engineer skills
  • MATLAB, 16%
  • Data Analysis, 16%
  • NVH, 14%
  • FEA, 11%
  • Modal Analysis, 9%
  • Acquisition Systems, 8%
Common engineering scientist skills
  • C++, 11%
  • Python, 11%
  • Data Analysis, 9%
  • DOD, 6%
  • Project Management, 4%
  • RF, 4%

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