Robotics & Control Engineer

Robotics & Control Engineer LocationMountain ViewEmployment TypeFull timeDepartmentSoftwareCompensation$150K – $200K • Offers EquityAt Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.We're looking for a Robot Control Engineer to develop and maintain the control systems that run on our humanoid robots. You'll own the software that connects hardware to behavior — from low-level control loops and actuator interfaces to state estimation and real-world deployment.What You'll DoDevelop and maintain onboard control software including control loops, state estimation, and actuator interfacesImplement and tune motion planning and control systems — including whole-body control, trajectory optimization, or model predictive controlCollaborate with the AI/ML team to integrate learned control policies onto real hardware reliably and efficientlyContribute to system reliability, fault detection, and recovery logic for robust real-world operationWork directly with prototype hardware, debugging discrepancies between simulated and real behavior and iterating on bothSupport bring-up and field testing of new hardware revisionsWhat We're Looking For1+ years of experience building control software for robotic systems or a closely related fieldStrong software engineering fundamentals in C++, Python, or RustHands-on experience with core robotics control: motion planning, control loops, state estimation, or actuator interfacesExperience with ROS/ROS2 or similar robotics middleware in production or research contextsAbility to debug across the full stack — from driver-level issues to control behavior on live hardwareComfort working directly with physical hardware in fast-moving, ambiguous environmentsNice to Have (But Not Required)Background in whole-body control, trajectory optimization, or model predictive controlExperience building sim-to-real pipelines for reinforcement learning or imitation learning policy trainingFamiliarity with humanoid or legged robot platforms and the unique modeling challenges they presentExposure to learned perception or control models and their integration into real-time robot stacksPrior work on early-stage hardware programs (prototype or pre-production robots)Why This RoleYour code runs on the robot — the control software you write has a direct, physical impact on what our humanoids can do in the real worldWork at the boundary of hardware and AI, integrating state-of-the-art control and learned policies onto real robotic systemsHigh ownership in a small, fast-moving team where your contributions shape how the next generation of humanoid robots operate in productionApply for this Job