Atlantbh Internship
Interns will engage in various software development roles, gaining hands-on experience in full-stack application development, quality assurance, DevOps, UX/UI design, product management, and machine learning.
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. The program offers two flexible tracks: choose the level of involvement that fits your schedule.
Two Ways to Participate
Ambassadors can move between tracks each semester as availability changes.
What Makes This Role Unique
You will work directly with one of the fastest electromagnetic solvers in the world while gaining exposure to cutting-edge photonics and simulation workflows. This role offers the opportunity to shape how a new generation of engineers interacts with AI-native physics tools and to play a visible role within a growing technical community.
Responsibilities
All Ambassadors:
Technical Support Contributors (paid):
Requirements
Geographic Scope
Open to students in the US, Europe, Japan, South Korea, and India. Track 2 compensation is paid in local currency, adjusted for employment-law requirements.
Success Metrics
Benefits
Interns will engage in various software development roles, gaining hands-on experience in full-stack application development, quality assurance, DevOps, UX/UI design, product management, and machine learning.
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