About this role
Mujin is a global leader in industrial automation, redefining supply chain efficiency through MujinOS—our intelligent operating system for robotics. At our core is Machine Intelligence (MujinMI), a unique approach that leverages real-time digital twins and advanced perception, planning, and control algorithms to achieve fully autonomous operations.
Our flagship product, MujinController, empowers users with a highly configurable, no-code interface. By integrating cutting-edge motion planning and computer vision, it enables seamless automation for complex applications such as palletizing, picking, and truck unloading.
Headquartered in Japan with a growing presence in the US, China, and Europe, we invite you to join a dynamic environment where you can shape the future of automation.
We are looking for a Backend Engineer to design, build, and own the core backend systems that power our industrial robotics platforms. In this role, you will take end-to-end ownership of backend components supporting robot controllers, working close to hardware, sensors, and operating systems to deliver reliable, high-performance systems in real-world production environments. You will design and operate low-latency services, data-intensive pipelines, and robust communication paths that directly influence system behavior on the factory floor. This role requires strong systems thinking, a focus on performance and reliability, and the ability to drive improvements independently across complex, evolving systems. Responsibilities Design and own backend systems for industrial robotics platforms
Take end-to-end ownership of backend components supporting industrial robot controllers Design, implement, and maintain reliable backend services and APIs with strong focus on performance and stability Work on low-latency communication paths, including high-performance HTTP services and inter-process communication (e.g., ZeroMQ)
Integrate and support sensor-driven data flows
Develop and maintain backend components that interface with sensors such as 3D cameras and other industrial devices Work with sensor SDKs, drivers, and APIs to ensure predictable data ingestion and behavior Debug issues that span application logic, OS behavior, and device interaction
Build and operate data-intensive backend pipelines
Own and continuously improve high-performance data pipelines that influence system-wide behavior Design database usage and data access patterns with strong awareness of scale and efficiency Contribute to defining, validating, and improving system metrics and KPIs
Drive system reliability and operational excellence
Diagnose and resolve complex production issues across multiple system layers Contribute to controller provisioning, reset, and upgrade workflows with a focus on stability and predictability Improve observability, diagnostics, and operational tooling to reduce long-term operational risk
Solve complex, real-world engineering problems
Operate effectively in complex systems with evolving requirements and constraints Make architectural and design decisions balancing performance, reliability, and maintainability Drive improvements independently, from problem identification through implementation and rollout