WeRide: GPU AI/HPC Expert Engineer ๐๐จ
WeRide, a leading global company in autonomous driving technologies, is seeking a GPU AI/HPC Expert Engineer to join our team! ๐
Job Overview:
As a GPU AI/HPC Expert Engineer, you'll provide professional support in designing and implementing cutting-edge GPU computing solutions. Your focus will be on optimizing capacity management and allocation within GPU computing clusters to address issues related to deep learning, high-performance computing, and computationally intensive workloads. ๐ป
Locations:
- Singapore
- Guangzhou, Guangdong, China
- Shenzhen, Guangdong, China
Responsibilities:
- ๐ Performance Analysis and Optimization: Conduct in-depth analysis of GPU applications to identify and resolve performance bottlenecks. Focus on memory access patterns, thread scheduling, and execution efficiency.
- ๐ก Algorithm Development: Develop efficient GPU-accelerated algorithms using parallel computing frameworks like CUDA or DirectX to enhance processing capabilities for computationally intensive tasks.
- ๐จโ๐ซ Knowledge Sharing: Provide technical guidance and training to the team, sharing best practices and optimization techniques in GPU programming.
- ๐ Stay Updated: Keep abreast of GPU technology and industry trends. Evaluate and integrate new technologies to improve system performance.
Requirements:
- ๐ Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- ๐ผ At least 5 years of experience in GPU programming and performance optimization, with familiarity in CUDA or DirectX development.
- ๐ป Proficient in C/C++, with in-depth knowledge of computer architecture and parallel computing principles.
- ๐ ๏ธ Proficient in using GPU performance analysis and debugging tools, with proven performance optimization achievements.
- ๐ Rich experience in performance analysis and tuning of AI/HPC workloads.
- ๐ค Candidates with practical experience in GPU optimization in fields like deep learning, computer vision, and scientific computing are preferred.
Plus:
- ๐ฌ Experience in advanced research or development in High-Performance Computing (HPC) or related areas.
- ๐ง In-depth understanding of GPU optimization in machine learning frameworks like TensorFlow or PyTorch.
- ๐ Practical experience in deploying and optimizing AI models using Orin and Thor platforms, as well as developing algorithms related to autonomous driving.
- NVIDIA GPU and CUDA programming experience.
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