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…
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…
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About Mentee Robotics
Mentee Robotics is redefining humanoid automation with an AI-first approach. We integrate 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 perform complex tasks with human-like adaptability across industrial, logistics, and retail environments.
The Role
We are looking for a
Senior Software Engineer
to join our Core team. In this role, you will be responsible for the high-performance software layer that bridges advanced AI models with physical robotic execution. Your work will focus on designing and implementing the core services responsible for
real-time edge AI inference
, ensuring that our systems process sensor data and execute commands with minimal latency and maximum reliability.
Responsibilities
Design & Optimize:
Develop production-grade software in C++ and Python, specifically tailored for real-time inference and low-latency execution.
Edge AI Orchestration:
Build and maintain the services that deploy and run neural networks directly on the robot’s edge hardware.
Sensor Integration:
Develop robust pipelines to process high-frequency sensor data streams for real-time robotic perception.
Architect for Reliability:
Create modular, well-architected components that ensure the robot remains stable and maintainable in complex, dynamic environments.
Requirements
5+ years of Software Engineering experience, specializing in modern C++ / C.
Cross-Functional Collaboration:
Partner with AI researchers and hardware engineers to deploy and accelerate deep learning models on the edge.
Advanced C++ Proficiency:
Deep understanding of modern standards, memory management, concurrency, and parallelism—this is a core requirement.
Systems Expertise:
Extensive experience developing and debugging within
embedded Linux environments
.
Real-Time Mindset:
Proven track record with
RTOS
or building systems where low-latency and deterministic performance are critical.
Solid Architecture:
Strong grasp of OOD, design patterns, and modular software architecture for production-grade Python and C++ applications.
