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The differences between verification engineers and hardware managers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a verification engineer and a hardware manager. Additionally, a hardware manager has an average salary of $140,910, which is higher than the $104,158 average annual salary of a verification engineer.
The top three skills for a verification engineer include python, UVM and architecture. The most important skills for a hardware manager are RF, customer service, and product knowledge.
| Verification Engineer | Hardware Manager | |
| Yearly salary | $104,158 | $140,910 |
| Hourly rate | $50.08 | $67.75 |
| Growth rate | 5% | 5% |
| Number of jobs | 38,261 | 4,200 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 71% | Bachelor's Degree, 57% |
| Average age | 44 | 44 |
| Years of experience | 2 | 2 |
Verification engineers and hardware managers have different pay scales, as shown below.
| Verification Engineer | Hardware Manager | |
| Average salary | $104,158 | $140,910 |
| Salary range | Between $75,000 And $143,000 | Between $95,000 And $208,000 |
| Highest paying City | Concord, CA | Seattle, WA |
| Highest paying state | Washington | Washington |
| Best paying company | Meta | Palo Alto Networks |
| Best paying industry | Automotive | Retail |
There are a few differences between a verification engineer and a hardware manager in terms of educational background:
| Verification Engineer | Hardware Manager | |
| Most common degree | Bachelor's Degree, 71% | Bachelor's Degree, 57% |
| Most common major | Electrical Engineering | Business |
| Most common college | Northeastern University | University of Pennsylvania |
Here are the differences between verification engineers' and hardware managers' demographics:
| Verification Engineer | Hardware Manager | |
| Average age | 44 | 44 |
| Gender ratio | Male, 81.8% Female, 18.2% | Male, 80.4% Female, 19.6% |
| Race ratio | Black or African American, 5.4% Unknown, 2.9% Hispanic or Latino, 9.7% Asian, 34.1% White, 47.4% American Indian and Alaska Native, 0.4% | Black or African American, 8.2% Unknown, 2.8% Hispanic or Latino, 9.2% Asian, 23.2% White, 56.1% American Indian and Alaska Native, 0.4% |
| LGBT Percentage | 4% | 4% |