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Dyna Robotics

Software Engineer, Applications

Redwood City, CA$170k–$250kfulltimemidAdded 1 month ago

About this role

Dyna Robotics seeks a Software Engineer to build deployment infrastructure for AI-powered robots scaling across multiple customer sites. You'll design internal tools and systems that streamline robot deployment, fleet monitoring, and diagnostics while partnering closely with operations teams to transform manual workflows into reliable, repeatable processes.

What you'll do

  • Design and ship deployment platform tools including site configuration, fleet monitoring, remote diagnostics, and operational dashboards
  • Embed with Operations team to identify field challenges and standardize deployment workflows across sites
  • Build data pipelines routing fleet performance and failure cases back to research teams for model improvement
  • Conduct applied research on model stability and consistency in unpredictable real-world environments
  • Design end-to-end infrastructure bridging on-robot software with off-board computing and cloud operations
  • Champion testing, continuous integration, and scalable software practices for production robotics systems

What they're looking for

  • Python and full-stack software development
  • Systems architecture and software design patterns
  • Backend systems and application-level development
  • Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
  • Cross-domain infrastructure spanning edge devices and cloud services
  • Fleet operations and internal tooling development
  • AI/ML model deployment and monitoring
  • Cross-functional communication with research, ops, and hardware teams
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Dyna Robotics

Dyna Robotics builds AI-driven robotics platforms that combine embodied AI foundation models with spatial intelligence to enable robots to navigate and operate autonomously across customer sites. The company is hiring software engineers, infrastructure specialists, QA testers, and field deployment engineers to scale its robot deployment systems, training infrastructure, state estimation capabilities, and customer operations.

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Likely interview questions

  • Walk us through a time you built infrastructure that bridged multiple domains—like connecting edge devices, cloud services, or hardware systems. What were the main challenges and how did you solve them?
  • Describe your experience with containerization and orchestration tools like Docker and Kubernetes. How have you used them to solve real deployment or scaling problems?
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