robotics controls intern

Skip to main content robotics controls intern mundane Palo Alto, CA Apply robotics controls intern mundane Palo Alto, CA 2 weeks ago Over 200 applicants See who mundane has hired for this role Apply Save Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Direct message the job poster from mundane Eoin O’Doherty Eoin O’Doherty VP Operations & Strategy at Mundane Start Date: ASAPAbout UsMundane is a seed-stage robot learning startup founded by Stanford roboticists and builders. We're deploying a fleet of humanoid robots to perform real-world tasks in commercial environments, collecting the data required to train the next generation of embodied intelligence.We move fast, prototype aggressively, test in the real world, and iterate based on reality—not simulations. You can read more at https://mundane.bot.About the RoleAs a Robotics Controls Intern, you'll work on teleoperation and control systems for humanoid robots, translating human input into stable, real-world robotic behavior. You'll contribute to human-in-the-loop control systems where operator input must adapt to robotic platforms with different physical constraints—designing control strategies that stay intuitive while ensuring system stability and performance.This is a hands-on role working directly with real hardware. You'll collaborate with controls, hardware, and learning teams to develop and deploy algorithms on physical systems, prioritizing real-world performance over...