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Über
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. They are looking for a Senior Machine Learning Engineer to establish a state-of-the-art ML infrastructure for training large foundation models and accelerating model training/inference.
Responsibilities : • Optimize transformer-based LLMs for low-latency and high-throughput inference. • Optimize kernels and model graphs using tools like CUDA, Triton, and custom fused operators. • Implement and benchmark (Quantization, Knowledge distillation, structured and unstructured pruning, KV-cache optimization, etc.). • Deploy optimized models across GPUs, CPUs, and edge acceleators. • Contribute to internal tooling and documentation for model optimization flows.
Qualifications : Required : • Master in CS/CE/EE, or equivalent, with 3 + years of industry experience. • Good knowledge of PyTorch. • Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
Preferred : • Previous experience in the autonomous driving industry. • Knowledge of Torchscript and Nvidia TensorRT. • Strong programming skills in Python and C++ • Familiarity with GPU CPU, NPU, DSP architecture. • Deep understanding of memory bandwidth, compute bottlenecks, and hardware-aware model optimization • Being efficiently in solving complex problems collaboratively on larger teams
Company :
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Founded in 2014, the company is headquartered in Guangzhou, CHN, with a team of 10001+ employees. The company is currently Late Stage.
Sprachkenntnisse
- English
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