Human Interactive Driving Intern, Platform Research Systems Integration

Job description

Job responsibilities

• Contribute to the design and integration of an AI monitoring system for custom vehicle platforms.
• Explore how new data modalities such as audio and video fit into the vehicle monitoring system alongside CAN data.
• Deploy and run monitoring and AI models on in-vehicle edge computers.
• Assist in the design and integration of hardware and software systems.
• Collaborate with our multidisciplinary teams to learn and address integration challenges.
• Document integration processes, procedures, and outcomes for future reference and improvement.
• Contribute to the continuous enhancement of our integration processes and methodologies.
• Proactively engage in self-improvement and skill development, staying updated with the latest technologies and industry best practices.

Job requirements

• Currently pursuing a Master degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a related field.
• A strong interest in gaining experience in the integration of mechanical, electrical, and software systems.
• Proficiency in Python, including experience with data analysis libraries (NumPy, pandas) and writing tested code.
• Experience with embedded Linux and edge AI hardware, ideally NVIDIA Jetson (JetPack, CUDA, TensorRT/ONNX Runtime, Docker on ARM64).
• Familiarity with C++, MATLAB/SIMULINK, Network (Ethernet/CAN).
• Experience working with CAD is preferred.
• Demonstrated self-motivation and a strong desire for continuous learning and skill development.
• An eager and humble attitude with a commitment to contributing to project goals.