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Dexmate Inc. is seeking a Software Engineer to build the quality and release infrastructure for Dexmate’s software platform and robot fleet. You will develop CI/CD pipelines and automated release gates to ensure releases meet performance and reliability standards.
Join a cross-disciplinary team to establish scalable quality practices across cloud, edge, and robot software, collaborating with software, embedded, and robotics experts to ship robust systems.
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. 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.
We are looking for a Software Engineer to build the quality and release infrastructure behind Dexmate’s software platform and robot fleet. As software reaches more robots, releases must be qualified—not simply shipped.
Build and maintain CI/CD, test infrastructure, and release pipelines across cloud, edge, and robot software.
Develop automated release gates for correctness, performance, reliability, compatibility, and system health.
Build integration, regression, end-to-end, performance, and failure testing infrastructure.
Improve release observability, failure diagnosis, rollback readiness, and engineering feedback loops.
Partner with software, embedded, and robotics teams to establish scalable quality standards.
4+ years of software engineering, SDET, developer infrastructure, or release engineering experience.
Strong programming and automation skills.
Experience with CI/CD, test frameworks, cloud/container systems, and production reliability.
Strong debugging and failure-analysis skills.
Robotics, autonomous systems, connected devices, or hardware/software testing experience is a plus.