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?
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 (e.g., Xpeng, NIO, Horizon Robotics)
Comfortable communicating technical topics in English with international teams
