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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.
At Mind Robotics, we're building generalized physical AI — robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. That depends on a runtime platform that lets robots perceive, decide, and act under hard real-time constraints.
We're looking for a Tech Lead to lead the development for this runtime: how the robotics and AI modules communicate and execute under tight latency budgets. This is an IC-heavy role: you're in the codebase daily, making the hard latency and correctness tradeoffs yourself, not delegating them.
This is a role for someone who wants to own the hardest problems in real-time robotics software and onboard model serving, and ship them personally.
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Familiarity with simulation environments (Isaac Sim, MuJoCo, Gazebo) for validating runtime behavior before field deployment
Exposure to functional safety concepts relevant to physical systems
Background in autonomous vehicles, industrial IoT, or other domains with similar real-time/embedded constraints
Experience scaling a runtime platform from a handful of robots to many concurrent units in production
Some prior experience providing technical mentorship or informal lead direction to other engineers, without formal management responsibility
Mind Robotics is a Palo Alto-based robotics company developing generalized Physical AI technologies for industrial applications. Spun out of Rivian in 2025, the company builds AI-powered robots for manufacturing environments.
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