Robotics Engineer (Robotics Deployment & Control)

Job Title: Robotics Software Engineer Location: Onsite - Menlo Park, CA or New York, NY Duration: 12-Month W2 Contract Our client is interested in candidates who have built, integrated, deployed, or supported advanced robotic systems in research, commercial, industrial, autonomous, or robotics-focused environments and can demonstrate successful deployment of software on physical robotic hardware. We are seeking a highly skilled Robotics Software Engineer to help deploy and scale advanced robotic systems in real-world environments. This role combines robotics software development, hardware integration, machine learning deployment, and real-time control systems. The ideal candidate has hands-on experience working with physical robots and enjoys solving challenging problems involving perception, control, autonomy, and system reliability. Required Qualifications Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. Strong software development skills in Python and C++. Experience with ROS/ROS2 or similar robotics middleware frameworks. Hands-on experience with robotic systems, sensors, actuators, and embedded computing platforms. Experience deploying machine learning or control algorithms to physical hardware. Strong debugging, troubleshooting, and problem-solving skills. Ability to work effectively in a fast-paced engineering environment. Preferred Qualifications Experience with humanoid, legged, mobile, or autonomous robotic platforms. Knowledge of locomotion, manipulation, motion planning, or whole-body control. Experience with simulation-based robotics development and validation. Familiarity with machine learning frameworks such as PyTorch. Experience with teleoperation systems, motion capture, or robotics data collection platforms. Experience supporting hardware development, testing, and field deployments. Responsibilities Develop, deploy, and maintain software for robotic platforms operating in real-world environments. Integrate sensors, actuators, onboard computing systems, and control frameworks. Support robot bring-up, calibration, testing, troubleshooting, and maintenance activities. Deploy and validate machine learning models on robotic hardware. Build and maintain simulation-to-hardware deployment workflows. Design and implement real-time control and monitoring solutions. Conduct system-level testing and performance analysis. Collaborate with cross-functional software, hardware, and robotics engineering teams. Document system architecture, testing procedures, and deployment processes.