Humanoid Robotics Jobs

Humanoid robotics engineers design, train, and validate full-stack robot capabilities—perception, planning, control, and human-robot interaction—so bipedal and wheeled humanoids can operate safely in real-world environments. On Rex.zone, these remote, full-time roles support AI/ML training workflows such as simulation-to-real transfer, imitation learning, reinforcement learning, dataset curation, and QA evaluation of robot behaviors. You will collaborate with robotics, ML, and software teams to improve model performance, motion quality, grasping success, and policy robustness under changing conditions. Explore Rex.zone to apply, compare remote vs on-site options, and find the best-fit humanoid robotics job across labs, tech startups, and R&D teams.

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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.

Frequently Asked Questions

  • Q: Are these Humanoid Robotics Jobs remote?

    Yes. This page is configured for Remote roles in the US, full-time, with mid-senior experience expectations. Rex.zone may also list on-site or hybrid options, but this posting remains Remote.

  • Q: What does a Humanoid Robotics Engineer do day to day?

    Typical work includes developing locomotion and manipulation behaviors, integrating perception and state estimation, running simulation experiments, training policies (reinforcement learning or imitation learning), and performing QA evaluation with repeatable benchmarks and regression tests.

  • Q: Which skills best match the SEO intent for Humanoid Robotics Jobs?

    Humanoid robotics, legged locomotion, whole-body control, motion planning, manipulation, robot perception, sensor fusion, ROS2, Python, C++, and reinforcement learning are directly aligned with humanoid robotics engineering responsibilities.

  • Q: What types of employers hire for humanoid robotics roles?

    Common employers include AI labs, robotics startups, technology companies building embodied AI, and R&D groups focused on humanoid platforms, perception systems, and autonomy stacks.

  • Q: How do teams evaluate humanoid robot performance?

    Teams use structured evaluation metrics such as locomotion stability, fall rate, energy efficiency, grasp success rate, task completion rate, recovery behavior success, and robustness across domain shifts. QA evaluation often includes regression testing across simulation seeds and real-world scenarios.

  • Q: How does simulation-to-real (sim-to-real) relate to these jobs?

    Sim-to-real is central to humanoid robotics. Engineers train and validate policies in simulation, apply domain randomization and system identification, and then iteratively test on hardware to reduce the reality gap and improve real-world robustness.

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