Robotics Software Engineer

Mind Robotics Inc.; Palo Alto (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Mind Robotics Inc. is looking for a Robotics Software Engineer in Palo Alto, California. You will design, develop, and maintain runtime systems that enable reliable operation of robotic platforms, ensuring robustness across real-world deployment scenarios.

The ideal candidate should have strong experience in robotics software systems, proficiency in Python programming, and familiarity with middleware frameworks like DDS, Zenoh, and ROS2. The role offers a dynamic environment focused on cutting-edge robotics technology.

Qualifications

• Strong experience building robotics software systems and middleware.
• Experience designing and building runtime systems and middleware layers.
• Proficiency in Python programming and familiarity with robotics middleware frameworks.

Responsibilities

• Design, develop, and maintain runtime systems for robotic platforms.
• Ensure robustness of robotics systems across real-world deployment scenarios.
• Implement and optimize robotics middleware for inter-process communication.

Skills

Robotics software systems

Middleware development

Real-time systems

Python programming

Distributed systems

Containerization

Tools

Docker

ROS2

CI/CD tools

Job description

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