Sr. Software Engineer - Robot Compute Platform

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