
Mentee Robotics develops a personalized AI-based humanoid robot with human-like dexterity and perception. Their robot integrates robotics, sensing, and AI, allowing customization for various environments and tasks through natural human interaction. The company's solutions target productivity and operational improvements in households and warehouses, enhancing efficiency and well-being in these distinct settings.

Mentee Robotics develops a personalized AI-based humanoid robot with human-like dexterity and perception. Their robot integrates robotics, sensing, and AI, allowing customization for various environments and tasks through natural human interaction. The company's solutions target productivity and operational improvements in households and warehouses, enhancing efficiency and well-being in these distinct settings.
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.
We are looking for an experienced Senior Software Engineer to join our AI Platform team . This role is central to our "data-focused" strategy. You will build the core data infrastructure that fuels our AI-first approach, responsible for the entire lifecycle of our robotics data.
Responsibilities
**.
Requirement**
s:
5+ years of experience as a Software Engineer, Data Engineer, or ML Infrastructure Engine
er.Extensive experience and strong proficiency in Python – a must-h a
**L).
Advanta**
inux.
ve.Deep understanding and hands-on experience with ETL and data pipeline development – a must-h a
ve.Proven experience working with data lake technologies (e.g., S
3).Experience with cloud platforms (e.g., AWS, GCP, Azur
e).Solid understanding of database systems (SQL/NoSQ
ges:
Familiarity with robotics data (e .g., ROS bags, sensor time-s eries) or multi-modal data (video, text, sensor fus
ion).Experience with data annotation/labeling plat forms (e.g., Label Studio, V7, or custom-built to
ols).A strong understanding of the data-centric challenges in modern AI (e.g., active learning, data curation for foundation m od
els).Familiarity with containerization and orchestrat ion (Docker, Kuber ne
tes).Experience with stream processing technologies (e.g., Ka
fka).Deep understanding of L