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Robotics Software Engineer

Mind Robotics

Palo Alto, CAJobPosted 9mo agoStill listed today

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At a glance

Compensation
No compensation found
Location
Palo Alto, CA
Work Authorization
Not specified

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Job overview

Mind Robotics is building physical AI for industrial deployment and seeks a Robotics Software Engineer to develop runtime systems, middleware, and developer infrastructure for robotic platforms. The role spans low-level execution, deployment workflows, and operator-facing tools, with a focus on reliable, high-performance operation in real-world environments and enabling application engineers to build robotic behaviors efficiently.

Skills & qualifications

RequiredNice to have

Skills

CI/CDDistributed SystemsApplication SoftwareVirtualizationPythonDeveloper ExperienceMiddlewareRoboticsRobotics Software SystemsRobotics MiddlewareRuntime SystemsExecution FrameworksCommunication PatternsReal-Time SystemsPerformance-Critical SystemsDDSZenohROS 2ContainerizationCodebase ManagementAbstraction DesignAPI DesignOperator ToolsRobotics UIsML-Driven Robotics

Full job description

About Mind: 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.

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.

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