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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.

1. 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.


2. 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.


3. 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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