Dexmate

Build the backend and edge infrastructure that deploys, monitors, diagnoses, and updates Dexmate’s growing fleet of robots. You’ll design resilient cloud-to-device systems for robotics operating at scale.

Build the testing, quality, and release infrastructure that qualifies software before it reaches Dexmate’s robot fleet. You’ll work across cloud, edge, and robotics systems to automate validation, improve reliability, and make releases safer.

Build the data, model, and agent-runtime infrastructure behind Dexmate’s Physical AI platform. You’ll move robot data and AI models from experimentation into scalable, reliable production systems.

Build the testing foundation for Dexmate’s physical AI and robotics platform as its first dedicated SDET. You’ll automate and validate software across cloud services, web applications, backend systems, APIs, and physical robots.

Build and ship interactive frontend interfaces that help customers manage physical robots, including real-time status and telemetry visualizations. This internship offers hands-on collaboration with designers and engineers and encourages AI-assisted development from the first week.

Build and operate production AI agents, harnesses, backend services, infrastructure, and React interfaces for robot operations and other real-world users. This end-to-end engineering role combines AI applications, full-stack development, reliability, and platform ownership.

Own the firmware stack for general-purpose robots, from motor control and sensor interfaces to hardware bring-up and real-time communications. This hands-on role offers high ownership across the path from prototype hardware to deployed robotic fleets.

Build the code, tutorials, integrations, and technical content that help ML developers deploy models on Dexmate’s humanoid robots. This engineering-first developer advocacy role combines production ML experience with community engagement, documentation, demos, and conference speaking.

Develop and deploy reinforcement-learning algorithms that improve robots’ capabilities across simulation and real-world environments. You’ll build scalable training systems and integrate RL models into production robotics platforms.

Join a founding robotics team to build a full-stack robot management portal, including robot data interfaces, authentication, and AI model interaction features. This on-site Santa Clara role combines frontend, backend, cloud, and user-management development.