Robotics Engineer

Job Description

We are seeking a highly skilled Robotics Engineer with hands-on experience in humanoid and Unitree robots. The ideal candidate will be responsible for troubleshooting, prototyping, and providing both technical support and leadership to a small team of technical assistants. This position requires strong technical acumen, problem-solving ability, and excellent communication skills for both customer and internal support.

• Robot Operation & Troubleshooting
• Operate, configure, and calibrate humanoid and quadruped robots during events, demonstrations, and client projects.
• Diagnose and repair hardware and software issues, including servo faults, sensor calibration, and communication errors.
• Perform pre-deployment testing, firmware updates, and post-installation performance checks to ensure reliability.
• Research & Prototyping
• Develop and test Python prototypes to improve robot intelligence, automation, and customer interaction.
• Integrate and fine-tune facial recognition, speech recognition, and NLP models to enhance user experience.
• Collaborate with R&D to test new features, collect feedback, and optimize robot behaviors.
• Deployment & Reporting
• Provide technical support via online chat, calls, and video sessions for clients and internal teams.
• Collaborate with clients to understand use cases, customize robot functions, and ensure seamless deployment.
• Document all issues, resolutions, and client feedback through structured support and maintenance reports.
• Create and maintain technical guides, FAQs, and training material to enhance customer understanding and internal knowledge sharing.
• Represent the company during exhibitions, demos, and trade shows, ensuring professional presentation of robot capabilities.
  
  

Requirements

• Bachelor’s or Master’s degree in Robotics, Mechatronics, Computer Science, or related fields.
• Proven experience with humanoid (e.g., Cruzr, Pepper, etc.) and quadruped robots (e.g., Unitree, Go2, G1, etc.).
• Strong troubleshooting and diagnostic skills for both mechanical and software issues.
• Hands-on experience with Python, facial recognition, and NLP model deployment.
• Familiarity with OpenCV, TensorFlow, or ROS is an advantage.
• Excellent communication and documentation skills for client-facing interactions.
• Strong leadership skills with the ability to manage field teams and coordinate multiple projects.
  
  

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