XPENG is seeking a Senior Staff Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models for autonomous driving and beyond. The role involves optimizing model inference, implementing compression techniques, and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms.
Requirements
- Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field
- Strong coding skills in C++ and Python with a focus on performance and scalability
- Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM
- Familiarity with CUDA programming and parallel computing principles
- Solid understanding of model inference workflows and system-level performance tuning
- Experience in quantization-aware training or post-training quantization
- Effective communicator and collaborative team player
Benefits
- Fun, supportive and engaging environment
- Infrastructures and computational resources to support your work
- Opportunity to work on cutting edge technologies with the top talents in the field
- Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities