Senior Software Engineer | Core

Description

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.
• Cross-Functional Collaboration: Partner with AI researchers and hardware engineers to deploy and accelerate deep learning models on the edge.

Requirements

• 5+ years of Software Engineering experience, specializing in modern C++ / C.
• 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.

Advantages

• AI Acceleration: Familiarity with inference frameworks like Triton, TensorRT, or ONNX Runtime.
• Robotics Frameworks: Practical experience with ROS2.
• Hardware Optimization: Expertise in GPU-accelerated services and zero-copy mechanisms to minimize data transfer overhead.
• Edge Platforms: Experience with NVIDIA Jetson or similar embedded edge compute modules.
• DevOps for Robotics: Experience with containerization (Docker) tailored for embedded environments.