


Carnegie Mellon Racing Revenue
Automotive • Pittsburgh, Pennsylvania, United States • 101-200 Employees
Carnegie Mellon Racing revenue & valuation
| Annual revenue | $10,700,000 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Automotive industry and current estimated revenues | $34,300,000 |
| Total funding | No funding |
Key Contact at Carnegie Mellon Racing
Alexander Blasberg
Vehicle Dynamics Director
Company overview
| Headquarters | 5032 Forbes Ave., SMC 1012, Pittsburgh, Pennsylvania 15289, US |
| Website | |
| Keywords | Welding, Embedded Systems, Mechanical Engineering, Electrical Engineering, Computer Science, Manufacturing, Automotive Engineering |
| Founded | 2002 |
| Employees | 101-200 |
| Socials |
Carnegie Mellon Racing Email Formats
Carnegie Mellon Racing uses 2 email formats. The most common is {last name} (e.g., doe@cmu.edu), used 88.9% of the time.
| Format | Example | Percentage |
|---|---|---|
{last name} | doe@cmu.edu | 88.9% |
{first name}{last name} | johndoe@cmu.edu | 11.1% |
About Carnegie Mellon Racing
Our mission is to provide students with opportunities for technical and management experience on a large engineering project. We strive to transform students into effective engineers, leaders, and problem solvers. Our team is accessible to all students of different experience levels, backgrounds, and areas of study. As an organization, we aim to be at the forefront of electric vehicle race technology. We give students experience directly applicable to their careers beyond college. We provide a space for shared interests in automotive engineering.
Employees by Management Level
Total employees: 101-200
Seniority
Employees
Employees by Department
Carnegie Mellon Racing has 29 employees across 5 departments.
Departments
Number of employees
Funding Data
Carnegie Mellon Racing has never raised funding before.
Carnegie Mellon Racing Tech Stack
Discover the technologies and tools that power Carnegie Mellon Racing's digital infrastructure, from frameworks to analytics platforms.
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