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The differences between bioengineers and firmware engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a bioengineer and a firmware engineer. Additionally, a firmware engineer has an average salary of $97,183, which is higher than the $75,613 average annual salary of a bioengineer.
The top three skills for a bioengineer include cell culture, FDA and cell biology. The most important skills for a firmware engineer are python, C, and C++.
| Bioengineer | Firmware Engineer | |
| Yearly salary | $75,613 | $97,183 |
| Hourly rate | $36.35 | $46.72 |
| Growth rate | 21% | 21% |
| Number of jobs | 3,177 | 99,014 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 57% | Bachelor's Degree, 70% |
| Average age | 39 | 39 |
| Years of experience | 2 | 2 |
Bioengineers and firmware engineers have different pay scales, as shown below.
| Bioengineer | Firmware Engineer | |
| Average salary | $75,613 | $97,183 |
| Salary range | Between $37,000 And $152,000 | Between $73,000 And $129,000 |
| Highest paying City | Charlottesville, VA | San Francisco, CA |
| Highest paying state | New York | Washington |
| Best paying company | Meridian Bioscience | Meta |
| Best paying industry | - | Automotive |
There are a few differences between a bioengineer and a firmware engineer in terms of educational background:
| Bioengineer | Firmware Engineer | |
| Most common degree | Bachelor's Degree, 57% | Bachelor's Degree, 70% |
| Most common major | Biomedical Engineering | Electrical Engineering |
| Most common college | Northwestern University | Harvard University |
Here are the differences between bioengineers' and firmware engineers' demographics:
| Bioengineer | Firmware Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 78.6% Female, 21.4% | Male, 88.4% Female, 11.6% |
| Race ratio | Black or African American, 2.9% Unknown, 4.3% Hispanic or Latino, 6.4% Asian, 31.3% White, 55.0% American Indian and Alaska Native, 0.2% | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 31.6% White, 50.4% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |