Robotics Software Engineer
Mind Robotics
Listing collected from Mind Robotics's career site. NextChapter is independent of Mind Robotics.
Palo Alto, CA · Posted January 26, 2026
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Where Palo Alto, CA ranks
Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among engineers, all other is little observed so far. Measured exposure for engineers, all other: 7% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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.