Dexmate
Frontend Engineer Intern
Santa Clara Office · Intern · Internship
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About the role
- You'll push code to production in your first week.
- Our robot platform serves customers managing physical robots.
Responsibilities
- Build and refine interactive UI components using modern frontend frameworks (Vue 3 / React)
- Collaborate with designers, backend engineers, and robotics teams to deliver features end-to-end
- Implement real-time data visualization for robot status, sensor data, and telemetry
- Dexmate is building the foundation for physical AI - combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software.
- If you want to help shape the next layer of human capability - and believe the future of robotics should be built together, not in isolation - we'd love to build it with you.
- You'll work alongside our designer and engineering team building the web interfaces that connect humans with our robots.
Requirements
- Currently pursuing a degree in Computer Science, Software Engineering, or related field
- Experience with at least one modern frontend framework (React or Vue)
- Familiarity with REST APIs and basic understanding of client-server architecture
- Demonstrated ability to self-teach - e.g., picked up a new framework, language, or tool for a personal project without formal instruction
- Experience with Node.js or Python for backend/scripting tasks
- Familiarity with SQL databases and basic query writing
- Experience with authentication flows (JWT, OAuth)
- Experience contributing to or managing open-source / technical communities
- Familiarity with 3D rendering (Three.js, WebGL) or data visualization (ECharts, D3)
Company info
- Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
- What We're Looking For
This listing is sourced directly from Dexmate's careers page and normalized into a canonical job model.