Mind Robotics
Mind Robotics builds generalizable industrial robots and the software runtime that lets them perceive, decide, and act under hard real-time constraints. It sells robotic systems and AI-driven middleware for factory-floor tasks, working directly with manufacturers; it has publicly cited a deployment partnership with Rivian. Founded in 2025 and headquartered in Palo Alto, the privately held company focuses on dexterous, adaptive automation for complex production environments.
Open Positions at Mind Robotics
8 open positions
Lead the development of a real-time robotics runtime and middleware platform that enables industrial robots to perceive, decide, and act under tight latency constraints. This IC-heavy role combines robotics software, onboard model serving, sensor synchronization, and embedded systems engineering.
Own the infrastructure that safely deploys, tests, monitors, and manages software across a fleet of field-deployed industrial robots. This IC-heavy Tech Lead role combines fleet management, testing infrastructure, CI/CD, and observability engineering.
Build the simulation, automated testing, and validation infrastructure that makes industrial robots reliable across software, hardware, and real-world deployments. You’ll work closely with firmware, controls, runtime, and hardware teams to turn failures into repeatable tests and enable development without physical robots.
Build and operate the cloud, deployment, and developer infrastructure that enables robotic systems to be developed, tested, deployed, and monitored at scale. You’ll work across robotics, firmware, software, and ML teams to improve reliability, automation, and fleet operations.
Build the software powering Mind Robotics’ field data capture and teleoperation systems, from edge devices in factories to scalable services and data workflows. This founding engineering role combines hands-on 0-to-1 development with production support for real-world robotic operations.
Build the embedded software that turns commands into motion for adaptive industrial robots. This role spans firmware, real-time control, hardware interfaces, communication buses, and validation across the full robot system.
Build high-performance robotics middleware, runtime systems, and deployment infrastructure while improving both platform performance and operator experience.
Build and operate the infrastructure behind large-scale model training across hundreds of GPUs. You’ll partner with researchers to improve distributed training, performance, reliability, and model deployment workflows.