XPENG
InternOptimize AI model inference performance on embedded automotive platforms, focusing on latency and power efficiency across compute, memory, and I/O systems. Requires a Master's or PhD in CS, CE, or EE with strong C++ and Python skills, deep computer architecture knowledge, and proven application performance optimization experience using profiling tools. Preferred qualifications include CPU/CUDA kernel optimization, performance tooling development, and familiarity with embedded automotive platforms like NVIDIA Orin.
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XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning , and smart connectivity.
United States
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