Senior Software Engineer - Robot Compute Platform

Company: Mobileye
Location: Shanghai, China
Type: full_time
Posted: Aug 19, 2026
Views: 14

✨ AI Summary

Mobileye (Mentee Robotics) is hiring a Senior Software Engineer for its new robotics Engineering Center in Shanghai, China, to own the onboard compute platform for next-generation humanoid robots. The role focuses on deploying neural network policies on NVIDIA Jetson with TensorRT, real-time Linux (PREEMPT_RT), and embedded communication via EtherCAT/CAN, requiring 8+ years of C/C++ experience and deep expertise in low-latency systems. This is a senior, hands-on position with a small team prioritizing rapid iteration, and involves daily collaboration with RL and Sim2Real engineers.

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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    About the Company

    Name: Mobileye

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