Job Description
XPENG, a smart technology company specializing in AI and autonomous driving, is seeking a Senior Staff Computer Vision Engineer. This role involves leading the development and deployment of high-performance, large-scale AI models, focusing on optimizing model inference and implementing compression techniques. The engineer will contribute to real-world deployment efforts in autonomous driving systems.Role involves:
- Optimizing large-scale multimodal models for low-latency inference.
- Applying model compression techniques like quantization and pruning.
- Developing and integrating custom inference kernels.
- Building profiling tools to analyze bottlenecks.
- Contributing to autonomous driving system deployment.
- Tracking the latest research in efficient ML inference.
Requirements:
- Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field.
- Strong coding skills in C++ and Python.
- 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.
Role offers:
- A fun, supportive, and engaging environment.
- Infrastructures and computational resources.
- Opportunity to work on cutting-edge technologies.
- Opportunity to make a significant impact on the transportation revolution.
- Competitive compensation package.
- Snacks, lunches, dinners, and fun activities.