Remote Humanoid Robotics Engineer - Perception to Control

Rex.zone; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Rex.zone seeks an experienced robotics software engineer to build and evaluate humanoid capabilities across perception, planning, and control. You will drive end-to-end robot behavior development, including data collection, policy learning loops, safety constraints, and QA in simulation and on hardware to close the sim-to-real gap.

The role emphasizes collaboration with hardware teams and delivering robust, production-grade solutions across simulation and real hardware platforms in a remote US

Qualifications

• Mid-senior experience in humanoid, legged, 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.

Responsibilities

• 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 using reinforcement learning, imitation learning, and behavior cloning.
• Integrate perception outputs with sensor fusion and state estimation.
• Collaborate with hardware and embedded teams to debug real-world failures and improve robustness.

Skills

Python

C++

ROS2/ROS

RL/Policy optimization

QA pipelines

Tools

MuJoCo

Gazebo

Isaac

ROS2/ROS

Job description

Rex.zone seeks an experienced robotics software engineer to build and evaluate humanoid capabilities across perception, planning, and control. You will drive end-to-end robot behavior development, including data collection, policy learning loops, safety constraints, and QA in simulation and on hardware to close the sim-to-real gap.

The role emphasizes collaboration with hardware teams and delivering robust, production-grade solutions across simulation and real hardware platforms in a remote US