Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
At Mind Robotics, we’re building generalized physical AI—robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Delivering this in production requires robust, high-performance robotics software that can reliably operate in complex, real-world settings.
We’re looking for a Robotics Software Engineer to build the runtime systems, middleware, and developer infrastructure that power our robotic platforms—from low-level execution to operator-facing tools.
Design, develop, and maintain runtime systems that enable reliable, low-latency operation of robotic platforms.
Ensure robustness of robotics systems across real-world deployment scenarios.
Implement and optimize robotics middleware for inter-process communication, data serialization, and message passing.
Integrate with frameworks like DDS, Zenoh, or build custom solutions as needed.
Build systems for task scheduling, resource management, and lifecycle management of robotic applications.
Enable scalable and modular execution of complex robotic behaviors.
Ensure that robotics systems meet strict latency and reliability requirements.
Optimize for resource-constrained and embedded environments.
Develop tools to monitor system health, debug failures, and analyze performance.
Design and maintain deployment workflows, CI/CD pipelines, and containerization (e.g., Docker).
Build abstractions, APIs, and tools that enable application engineers to develop robotic behaviors efficiently.
Contribute to operator-facing tools (e.g., UI for monitoring, control, and data annotation workflows).
Focus on developer experience and system ergonomics, ensuring that the platform scales across robots, tasks, and environments.
Strong experience building robotics software systems and middleware.
Experience designing and building runtime systems, execution frameworks, or middleware layers.
Strong understanding of distributed systems and communication patterns in robotics.
Experience working with real-time constraints and performance-critical systems.
Strong proficiency in Python programming.
Familiarity with robotics middleware frameworks (e.g., DDS, Zenoh, ROS2).
Experience with containerization, CI/CD, and codebase management at scale.
Ability to design clean abstractions and APIs for internal users.
Experience building tools or interfaces for operators or engineers.
Background in building operator tools or robotics UIs.
Experience supporting ML-driven robotic systems.