Mentee Robotics is redefining humanoid automation with an AI-first approach, integrating cutting-edge perception, reasoning, and dexterous manipulation into a fully autonomous humanoid robot that continuously adapts and learns. Our flagship product, Menteebot v3, is designed to seamlessly integrate into industrial, logistics, and retail environments, performing complex tasks with human-like adaptability.
Join the team that turns Menteebot's newest capabilities into reliable external demonstrations. As a Deployment Engineer you will write automation and integration code, operate the robot on-site, and work closely with engineering teams to ensure every demonstration performs on the first take.
The role demands genuine multidisciplinary depth across AI, computer vision, and robotics — and the composure to debug, adapt, and execute under pressure in front of high-stakes audiences.
Responsibilities- Design and develop the automation and integration code that turns Menteebot's newest capabilities into end-to-end demonstration scenarios.
- Own the full demonstration lifecycle for assigned projects — from scenario design and code development through rehearsal and live execution.
- Work with engineering teams to integrate the latest capabilities into demonstrations and identify areas for improvement.
- Develop test plans, rehearsal procedures, and readiness checklists for assigned demonstrations.
- Collect and communicate structured feedback to the engineering organization after each engagement.
- 3+ years of work experience in robotics, AI, computer vision, or autonomous systems
- Engineering degree
- Experience with Python, C++, and Linux
- Hands-on experience integrating ML or CV models on real hardware
- Working knowledge of robotics building blocks
- Calm and decisive under pressure; comfortable with ambiguity and tight timelines
- Clear communication skills; able to coordinate across cross-functional stakeholders
- ROS2 experience
- Prior experience preparing or operating robots for live demonstrations
Skills Required
- 3+ years of work experience in robotics, AI, computer vision, or autonomous systems
- Engineering degree
- Experience with Python, C++, and Linux
- Hands-on experience integrating ML or CV models on real hardware
- Working knowledge of robotics building blocks
- Calm and decisive under pressure; comfortable with ambiguity and tight timelines
- Clear communication skills; able to coordinate across cross-functional stakeholders
What We Do
A personalized AI-based robot you can mentor.
