About the role
At Mentee Robotics, we are redefining humanoid automation with an AI-first approach - combining perception, reasoning, and dexterous manipulation into fully autonomous systems that continuously learn and adapt.
We are now expanding with a new robotics Engineering Center in China, working hand-in-hand with our engineering teams in headquarters. Its mission: to rapidly develop our next-generation full-size humanoid and bring it to life - a walking, working platform that becomes the foundation of our next generation of products. This is a small, senior, hands-on team where speed of iteration is the core value.
We are looking for a Senior Software Engineer to own the robot's onboard compute platform: running neural network policies on Jetson at control rate, and the entire interface to the embedded layer - EtherCAT/CAN master, sensors, IMU, and Real-Time Linux. You are the person who turns a trained policy into a robot that moves.
Who you are 期待中的你 • A systems software engineer who thinks in latency budgets and memory copies • Equally comfortable in CUDA/TensorRT and in a CAN bus trace • You take full ownership from kernel configuration to inference output
Responsibilities • Own the onboard software platform on NVIDIA Jetson: Real-Time Linux configuration, scheduling, and performance tuning • Deploy and optimize neural network policies for real-time inference: TensorRT, quantization, zero-copy data paths, strict latency budgets • Implement and maintain the EtherCAT/CAN master and the joint-level communication with the Motor Controller PCBs • Integrate sensors: IMU drivers, filtering and time synchronization, cameras and additional sensing as needed • Build the middleware that moves observations and actions between the bus and the policy at loop rate, deterministically • Develop logging, replay, and introspection tooling for the whole robot software stack • Work daily with the RL and Sim2Real engineers on the deployment pipeline, and with embedded on the bus API
Requirements • B.Sc. in Computer Science, Engineering, or a related field • 8+ years of software engineering with heavy C/C++ focus; deep understanding of modern C++, memory management, and parallelism • Extensive experience developing and debugging in embedded Linux environments; real-time or low-latency systems experience • Hands-on experience deploying neural networks on edge platforms (NVIDIA Jetson, TensorRT or equivalent) • Knowledge of embedded communication protocols: EtherCAT, CAN, SPI, I2C • Production-grade Python for tooling and pipelines • Experience with PREEMPT_RT kernels and real-time performance monitoring
Advantages • Experience with GPU-accelerated services using zero-copy mechanisms to minimize data transfer latency • ROS 2 experience • Background in autonomous driving or edge-AI platforms • Comfortable communicating technical topics in English with international teams
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