Robotics Software Engineer

About the team and the role:

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.

Responsibilities:

• 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.

Requirements:

• 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.

Nice to Have:

• Background in building operator tools or robotics UIs.
• Experience supporting ML-driven robotic systems.