Robotics Software Engineer

Robotics Software Engineer

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