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

Qualifications

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

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