Flexcompute
Flexcompute Ambassador Program
Watertown, Massachusetts, United States · Full-time
Sponsorship not specifiedDetected 82 days ago
PythonGitCustomer SupportElectrical EngineeringCOMSOLResearchCommunicationCollaborationMentoringWriting
About the role
- Serve as a Flexcompute Ambassador within your academic community, supporting adoption and usage of Tidy3D while acting as a bridge between users and the Flexcompute team.
- The program offers two flexible tracks: choose the level of involvement that fits your schedule.
- Two Ways to Participate Track 1: Campus Ambassador (perks-based, no minimum commitment).
Responsibilities
- Success Metrics Quality and responsiveness of user support Increased engagement within academic user communities Volume and quality of technical content produced (Track 2) Actionable feedback contributing to product improvements
Compensation
- Technical Support Contributor (paid hourly, up to $35 USD/hr based on experience).
Benefits
- For graduate students who can dedicate flexible hours each week answering peer technical questions, producing tutorials, and partnering with the Flexcompute team.
Company info
- Flexcompute is a cutting-edge technology company that specializes in ultra-fast simulation technology.
- Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips.
- Our customer base includes both household names and startups in emerging industries.
- Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT.
- Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory.
- Role Overview Serve as a Flexcompute Ambassador within your academic community, supporting adoption and usage of Tidy3D while acting as a bridge between users and the Flexcompute team.
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This listing is sourced directly from Flexcompute's careers page and normalized into a canonical job model.