AI-powered EV manufacturer scaling automotive SoC and autonomous driving stacks
Li Auto manufactures smart EVs with an embedded AI focus, backed by deep hardware engineering (FPGA, SystemVerilog, CATIA, SolidWorks) and machine-learning infrastructure (PyTorch, TensorFlow, TensorRT-LLM, vLLM). Active projects span automotive SoC verification, autonomous driving model optimization, and NPU software stack development—a hardware-software integration roadmap typical of vertically integrated EV makers. Security is a significant operational burden: six concurrent security hires and eight active security-related projects (detection toolchain, vulnerability governance, enterprise SDLC platform) indicate rapid growth has outpaced internal security maturity.
Li Auto is a Chinese luxury EV manufacturer founded in 2015, headquartered in Beijing. The company delivers smart vehicles designed around AI and connected experiences, achieving one million vehicle deliveries in 58 months as of October 2024. The product strategy emphasizes AI integration—framing cars as "spatial robots" that blend physical and digital worlds. The engineering organization is structured around automotive hardware (SoC design, e-drive systems), autonomous driving AI models, and embedded software stacks (NPU compilers, DSLs). Operations span China, Germany, the United States, and Uzbekistan, with hiring currently concentrated in senior engineering roles across hardware verification, security, and autonomous systems.
Li Auto uses CAN/CAN FD for vehicle networks, SystemVerilog and UVM for hardware verification, CATIA and SolidWorks for design, PyTorch and TensorFlow for AI training, TensorRT-LLM and vLLM for model serving, and FPGA tooling (LLVM, GCC) for hardware acceleration.
Li Auto is actively recruiting in China, Germany, the United States, and Uzbekistan, with emphasis on autonomous driving AI, SoC verification, and security toolchain development roles.
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