Industrial robotics for factory deployment

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Software Engineer, Edge & Field Systems

Mind Robotics is building robots that learn from real-world experience through field data collection and teleoperation systems. The Software Engineer, Edge & Field Systems will productionize and scale edge and teleoperation software, develop testing and monitoring systems, enable repeatable deployment across manufacturing sites, and support live field operations.

Robot Operator, Data Collection

Mind Robotics is building Physical AI for real-world industrial deployment, beginning with factory-floor applications. The Robot Operator will operate robots through industrial manipulation tasks, produce and assess demonstration data for foundation models, maintain safety and session documentation, and provide feedback to improve task procedures and robot setups.

Research Engineer

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. The company is seeking a Research Engineer to build the core systems that enable fast, reliable, and scalable model training, supporting experimentation, distributed training, and production deployment for large ML models.

Machine Learning Infrastructure Engineer

Mindrobotics is seeking Machine Learning Infrastructure Engineers to build systems for large-scale model training. The role involves owning distributed training and core ML infrastructure while collaborating with researchers to enhance reliability and streamline model training and deployment processes.

Research + Modeling

Mind Robotics is focused on building generalized physical AI for robotic systems in industrial environments. They are seeking a Research & Modeling Engineer to develop and train core models that ensure reliable robotic performance in production settings.

Research Scientist and Engineer

Mindrobotics is looking for Research Scientists and Engineers to help build the foundations of general-purpose robotics. The role involves developing new approaches, scaling training systems, and working hands-on with robots to implement research ideas into practical applications.

Data Infrastructure Engineer

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. The Data Infrastructure Engineer will build and operate pipelines that transform raw multimodal sensor and demonstration data from robots into high-quality, training-ready datasets, while scaling ingestion, processing, storage, retrieval, and data quality systems.

Simulation and Validation Software Engineer

Mind Robotics is building physical AI for real-world industrial deployment, beginning with factory-floor robotics. The Simulation and Validation Software Engineer will build automated test infrastructure, integrate simulation environments, and develop validation pipelines for firmware, controls, and robot runtime systems. The role also supports regression analysis, failure triage, coverage tracking, and cross-team integration milestones.

Tech Lead, Software Infrastructure and Fleet Management

Mind Robotics is building physical AI and robotic systems for real-world industrial deployment. The Tech Lead will own fleet deployment, testing infrastructure, and observability for field-deployed robots, personally building reliable systems for software delivery and production operations at scale.

Firmware Engineer

Mind Robotics is building Physical AI and robotic systems for real-world industrial deployment. The Firmware Engineer will own embedded software across the robots, including low-level motor control, real-time scheduling, communication buses, sensor integration, hardware bring-up, validation tooling, and debugging across hardware and software.