Humanoid Robotics Engineer
Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: humanoid robotics, legged locomotion, whole-body control, motion planning, manipulation, robot perception, sensor fusion, ROS2, Python, C++, reinforcement learning Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR About the Role You will build and evaluate humanoid robot capabilities across perception, planning, and control. The role focuses on end-to-end robot behavior development: collecting and curating training data, improving policy learning loops, validating safety constraints, and running structured QA evaluation in simulation and on hardware. You will help close the sim-to-real gap through domain randomization, system identification, and regression testing, while shipping measurable improvements in locomotion stability, manipulation success, and task completion. What You Will Do - Develop humanoid locomotion and manipulation pipelines spanning simulation, training, and deployment. - Implement and tune whole-body control, motion planning, and contact-aware behaviors. - Design data collection protocols and labeling schemas for robot perception and behavior learning. - Build offline and online evaluation suites: success metrics, failure taxonomy, and regression tests. - Improve model performance through reinforcement learning, imitation learning, and behavior cloning. - Integrate perception outputs (vision, depth, IMU, joint states) with sensor fusion and state estimation. - Collaborate with hardware and embedded teams to debug real-world failures and improve robustness. Required Qualifications - Mid-senior experience in humanoid robotics, legged robotics, or manipulation-focused robotics. - Strong programming skills in Python and C++ with production-grade software engineering practices. - Experience with ROS2/ROS, robot kinematics/dynamics, and control fundamentals. - Familiarity with reinforcement learning, imitation learning, or policy optimization for robotics. - Experience designing evaluation metrics, QA checks, and repeatable experiment pipelines. Preferred Qualifications - Hands-on experience with humanoid platforms, bipedal locomotion, or whole-body motion generation. - Experience with simulation engines (e.g., MuJoCo, Isaac, Gazebo) and sim-to-real workflows. - Experience with computer vision pipelines for robot perception and real-time inference. - Knowledge of safety constraints, fall detection, collision checking, and recovery behaviors. How We Evaluate Success - Training data quality improvements and guideline compliance across datasets and experiments. - Locomotion stability, manipulation success rates, and reduced failure modes in real-world runs. - Reproducible benchmarks, QA evaluation coverage, and clear performance regression signals. - Faster iteration cycles from experiment design to deployment and post-deployment monitoring. Where This Role Fits Rex.zone connects candidates to remote and full-time roles at AI labs, tech startups, and R&D teams working on humanoid robotics. You will help ship real robot behaviors while maintaining strong evaluation discipline across simulation and hardware.



