From Mobileye’s original posting
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.
What will your job look like:
- 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.
All you need is:
- 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.
Nice to have:
- 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.