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Full-Stack software developer - Robotics & AI Systems

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: dexmate
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 155000 USD Yearly USD 110000.00 155000.00 YEAR
Job Description & How to Apply Below

Company Description

Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage.

We exist to change that. 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. 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.

Responsibilities
  • Build frontend and backend for the robot management portal

  • Implement user authentication and authorization

  • Create interfaces for robot data collection and management

  • Develop frontend for AI model interaction

  • Use cloud-based solutions for portal development and leverage SaaS software

Qualifications
  • 5+ years full-stack development experience

  • Experience in systematic programming training and large project development

  • Frontend:
    React, Vue.js, or Svelte

  • Backend:
    Node.js, Python, Rust

  • Database experience (SQL/PostgreSQL)

  • Experience with user management systems (Auth0, Stack Auth, Firebase Auth, or similar)

  • CI/CD pipeline experience

Bonus Qualifications
  • Robotics or IoT experience

  • Machine learning knowledge

  • Data visualization skills

  • Cloud platform experience (AWS, Azure, GCP)

  • VLM and LLM application development experience

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